WEBVTT - Spotify and Palantir Surge, Tech Market Bulls

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<v Speaker 1>From Mahart where Innovation, money and power Collie in Silicon

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<v Speaker 1>Vallet NBN. This is Bloomberg Technology with Caroline Hyde and

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<v Speaker 1>Ed Ludlow.

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<v Speaker 2>I'm Caroline Heide Bloomberg's world headquarters in New York, and

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<v Speaker 2>I'm Ed Ludlow in San Francisco.

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<v Speaker 3>This is Bloomberg Technology.

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<v Speaker 2>Coming up full earnings coverage ahead of shares of Spotify

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<v Speaker 2>and Palanteer. They surge on strong results details to come.

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<v Speaker 4>Plus strategists from Citybank warm positioning in technology stocks is

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<v Speaker 4>so bullish that any sell off in the sector could

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<v Speaker 4>spark a market route will break down.

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<v Speaker 2>The report and Adam Newman and other investors they're exploring

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<v Speaker 2>an offer to buy we work out of bankruptcy or

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<v Speaker 2>bringing the latest reporting on the matter. But first that's

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<v Speaker 2>checking on these markets, because as a macro story, it's

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<v Speaker 2>our to the sell off. Significant sell off in the

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<v Speaker 2>bond market. We see just a little bit of calmness

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<v Speaker 2>as we anticipate, of course, a lot of fed speak

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<v Speaker 2>to come. We're off by about tenth of a percent

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<v Speaker 2>on the Nasdaq. More broadly, Tenure yield down five basis

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<v Speaker 2>points after having risen and risen fast in the last

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<v Speaker 2>two training days. But I look at what's happening in China.

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<v Speaker 2>This really is the story of a global nature today.

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<v Speaker 2>Ed we see, of course the talk that Chijinping, at

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<v Speaker 2>the very top hierarchy chain of China is starting to

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<v Speaker 2>debate what to do about the route the sell off

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<v Speaker 2>that continues to afflict some of the Chinese stocks, and

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<v Speaker 2>therefore some of the internet names do well today. Training

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<v Speaker 2>of Chinese stocks up some five percent. When you're looking

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<v Speaker 2>at the Nasdak Golden Dragon today we're up five point

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<v Speaker 2>four percent. Moving on, let's a happening in the world

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<v Speaker 2>of crypto. We're up more than two percent in fact,

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<v Speaker 2>sort of outperforming the rest of the tech names. At

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<v Speaker 2>the day, we're currently training at forty three thousand.

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<v Speaker 4>What if you've got on the micro This is an

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<v Speaker 4>AI story, and this is Palenteered. The shares actually off

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<v Speaker 4>session highs where they are up thirty percent, but on

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<v Speaker 4>track for their biggest jump since May. Netting come of

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<v Speaker 4>two hundred and ten million dollars in the year, just

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<v Speaker 4>gone their first full annual profit ahead of expectations, and

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<v Speaker 4>what Palenteer's saying is that for four year twenty four

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<v Speaker 4>operating income will be up to eight hundred and fifty

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<v Speaker 4>million dollars, way above what the street thought that they

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<v Speaker 4>could do. The story unbelievable demand for AI products. In fact,

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<v Speaker 4>so great is the demand. Palenteer CEO doctor Addix carp

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<v Speaker 4>told Bloomberg last night that they can't cope. They don't

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<v Speaker 4>know what to do about all of the incoming for

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<v Speaker 4>their AI platform. A really big move to the upside

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<v Speaker 4>in that stock will get deeper in that with our

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<v Speaker 4>analysts in just a moment. Spotify is interesting before the bell.

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<v Speaker 4>This is a global name of a lot of US investors.

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<v Speaker 4>It is on track for its biggest jump since October.

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<v Speaker 4>Are two hundred and thirty six million subscribers, a one

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<v Speaker 4>million beat against what the street was expecting.

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<v Speaker 3>But I kind of reflect on the last.

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<v Speaker 4>Few weeks with shows Caro and we've been talking a

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<v Speaker 4>lot about the difficulty in the streaming landscape, all the

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<v Speaker 4>changes that are happening. They're still seeing growth and the

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<v Speaker 4>streets cheering it. Let's get more on the details with

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<v Speaker 4>Bloombo Lucas Shaw, who leads our screen time vertical, and

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<v Speaker 4>is this just about the subscriber beat, the premium subscriber beat.

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<v Speaker 3>I think it's that they beat on everything.

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<v Speaker 5>You know, oftentimes when Spotify has earnings, they delivered consistent

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<v Speaker 5>user growth really for years, but there was there's always something.

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<v Speaker 5>It feels like that investors can nitpick. The margins are

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<v Speaker 5>a little off, the revenue is a little off, the

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<v Speaker 5>forecast is a little off. This time, they really beat

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<v Speaker 5>across the board. You know, they're growing fast and they've

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<v Speaker 5>ever grown, which is pretty impressive for a fifteen sixteen

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<v Speaker 5>year old company. They're doing it with free users, they're

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<v Speaker 5>doing with paid users, and the margins are starting to

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<v Speaker 5>get a little bit better. You know, it's still an

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<v Speaker 5>unprofitable company, not great, but between raising prices, cutting costs,

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<v Speaker 5>and cutting back on some of the expenditures, it's looking

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<v Speaker 5>like a better business than most investors.

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<v Speaker 2>And those expenditures were people Lucas, an awful lot of

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<v Speaker 2>people that went more broadly, where then, do we think

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<v Speaker 2>that the area of focus is at the moments for

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<v Speaker 2>Spotify because they pull back on podcasting, but then they

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<v Speaker 2>well more than two hundred millions going for Joe Rogan

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<v Speaker 2>to remain. How are you seeing the company continuing to innovate?

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<v Speaker 5>Well, when I brought up expenditures, you're right, you know,

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<v Speaker 5>I probably should have been a little more caring when

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<v Speaker 5>it comes to how many people they cut. I was

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<v Speaker 5>actually thinking more about the kind of the shift in

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<v Speaker 5>the programming strategy.

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<v Speaker 3>You know, you brought up Rogan.

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<v Speaker 5>It's important to note that that podcast will no longer

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<v Speaker 5>be exclusive to Spotify, and that's part of a real

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<v Speaker 5>shift and strategy where they've taken shows. You know, they

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<v Speaker 5>went in first with podcasting and got a lot of

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<v Speaker 5>exclusive rights to shows by a lot of companies. Did

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<v Speaker 5>that sort of amass the audience and bring podcast listeners

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<v Speaker 5>onto the platform. Now that they have people there, they're

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<v Speaker 5>more than happy to take those shows wide. And so

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<v Speaker 5>Alex Cooper's show, Colored Daddy and Joe Rogan they can

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<v Speaker 5>be anywhere.

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<v Speaker 3>Spotify just wants the.

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<v Speaker 5>Ability to sell ads, distribute the shows. And then to

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<v Speaker 5>your point about you know, kind of what is next

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<v Speaker 5>and big, they're making a big push into audiobooks.

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<v Speaker 3>Well that's what caught my eye.

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<v Speaker 4>It's a bright spot for the company, and they kind

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<v Speaker 4>of trialed the giveaway right so in some markets they

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<v Speaker 4>would say have a few audiobooks on us, and now

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<v Speaker 4>they're kind of solidifying that that strategy. But it's also

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<v Speaker 4>like a cultural moment like audiobooks are in now.

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<v Speaker 3>This is great for Spotify. Yeah.

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<v Speaker 5>Look, Audible has been the dominant player in audiobooks for

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<v Speaker 5>basically as long as audiobooks have existed, but Spotify sees

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<v Speaker 5>an opportunity there, much like they did in podcasting, where

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<v Speaker 5>Apple was the dominant player, hadn't really innovated all that much,

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<v Speaker 5>and because there are already hundreds of millions of people

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<v Speaker 5>who use Spotify to listen to music, they figured it

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<v Speaker 5>would be pretty easy to convert them into doing some

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<v Speaker 5>other type of audio behavior, that being podcasting. That has worked,

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<v Speaker 5>at least from an audience perspective. You know, Spotify's probably

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<v Speaker 5>the number one podcast platform in the world, maybe number two,

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<v Speaker 5>depends how you want to classify YouTube and Apple in audiobooks,

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<v Speaker 5>it's a tougher slog.

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<v Speaker 3>Audible is not quite as lazy, I would.

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<v Speaker 5>Say, as Apple has been in podcasting, but Spotify does

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<v Speaker 5>have a much larger customer base that's just coming in

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<v Speaker 5>every day to listen to stuff.

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<v Speaker 2>Nucas was great to catch up and check out your

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<v Speaker 2>wallup as is some of the best Luka show. We

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<v Speaker 2>appreciate him on All Things Spotify. I meanwhile, let's turn

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<v Speaker 2>to another phenomenal mover, as Ed was just pointing out

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<v Speaker 2>Palenteer absolutely thriving on the day up almost twenty one percent.

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<v Speaker 2>They gave higher than expect a profit outlook for twenty

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<v Speaker 2>twenty four. AI demand drive sales is off the charts.

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<v Speaker 2>Man Deep Sing is here from Bluemeg Intelligence. Dan Ive's

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<v Speaker 2>making us laugh saying it's the messy of the reports

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<v Speaker 2>when it comes to AI, and he means leo MESSI

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<v Speaker 2>when it comes to the absolute studter of a soccer player.

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<v Speaker 2>How are they not able to keep up with demand?

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<v Speaker 2>Who is coming with the demand?

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<v Speaker 6>I mean clearly the lam wave that we have seen

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<v Speaker 6>over the last twelve months is a nice tail wind

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<v Speaker 6>for them. And what Talenteer has is a visualization software

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<v Speaker 6>that helps you leverage AI and also use it. So

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<v Speaker 6>what companies are struggling with right now is you know,

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<v Speaker 6>they are looking to train their lambs and.

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<v Speaker 3>Then deployed on the field.

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<v Speaker 6>He quipped about you know how chatbot is not such

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<v Speaker 6>a great interface, you know to interact with an LLM,

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<v Speaker 6>and they do have, you know, visualization software that is

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<v Speaker 6>being used for defense purposes, healthcare customers. So I think

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<v Speaker 6>from a vertical AI strategy. They do have something unique

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<v Speaker 6>and think of it as a copilot. Everyone right now

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<v Speaker 6>is trying to deploy a copilot. I think Palenteer solution

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<v Speaker 6>will resonate for certain verticals. And that's what they called

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<v Speaker 6>out yesterday with the US commercial customers because traditionally they

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<v Speaker 6>have been heavy on the government side, but actually they

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<v Speaker 6>are now adding new customers on the commercial side, which

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<v Speaker 6>is what I think the market is excited about.

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<v Speaker 4>And this is what doctor Alex Karp told us in

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<v Speaker 4>an interview last night that the focus essentially is building

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<v Speaker 4>out that commercial business. Our commercial business is exploding in

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<v Speaker 4>a way we don't know how to handle.

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<v Speaker 3>We don't know what to do with you onslaught of demand.

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<v Speaker 4>But Mandeep and Caro, I'm just just human me on

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<v Speaker 4>this one. I'm just going to go back a few

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<v Speaker 4>year is pre IPO, where talented didn't care about salespeople.

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<v Speaker 4>They weren't really worried about onboarding customers any of that stuff.

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<v Speaker 4>In fact, they ridiculed the idea of salespeople. They just

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<v Speaker 4>wanted to do their own thing. Now, dotor cops basically saying, uh,

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<v Speaker 4>we need some sales reps and some sales engineers and

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<v Speaker 4>we need to be able to give this to customers.

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<v Speaker 4>You convince many they can actually do that make a

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<v Speaker 4>business of it.

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<v Speaker 6>Yeah, Look, they have a very different selling motion, So

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<v Speaker 6>compare them to hyperscalers. What Microsoft is doing with open

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<v Speaker 6>ai really setting infrastructure and then open Ai providing the

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<v Speaker 6>LM and making it easy to train your own model.

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<v Speaker 6>Palaneer solution is more out of the box. If you

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<v Speaker 6>have geospatial data, you can use their platform and it

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<v Speaker 6>offers something unique. But I don't think it applies to

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<v Speaker 6>all sources of enterprises, and that's where you know, having

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<v Speaker 6>a salesforce could help. But we also know the customer

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<v Speaker 6>position costs go up when you have a direct salesforce model.

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<v Speaker 6>So to me, the competitive dynamics are between you know,

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<v Speaker 6>the likes of Palenteer and Snowflake or data breaks that

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<v Speaker 6>also compete in the same space, but they leverage the

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<v Speaker 6>public cloud more than Palenteer does, which is more on prem.

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<v Speaker 6>So it's really about enterprises doing on prem versus leveraging

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<v Speaker 6>the public cloud.

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<v Speaker 2>Here, what's interesting is is pulling employees out of Europe

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<v Speaker 2>at the moment Germany, France. He just thinks that in

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<v Speaker 2>the moment the demand isn't there. He thinks Europe sort

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<v Speaker 2>of not taking part in this AI wave. Are you

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<v Speaker 2>seeing that regionally speaking?

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<v Speaker 6>Well, so, I think it makes intuitive sense because Europe

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<v Speaker 6>is probably behind when it comes to leveraging lllms or

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<v Speaker 6>customizing lllms. So from that perspective, even though there are

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<v Speaker 6>startups like Mistrol over there, you don't see companies being

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<v Speaker 6>at the cutting edge of deploying these lms. So one

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<v Speaker 6>could argue that right now the market is not ripe

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<v Speaker 6>for deployment.

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<v Speaker 2>They just don't want to use a US company.

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<v Speaker 6>That's that's also I mean, Talenteer is controversial. We know that,

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<v Speaker 6>and you know the fact that they've been so vocal

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<v Speaker 6>about you know, everything they do with regards to the

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<v Speaker 6>Middle East conflict, and that has actually helped their international business.

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<v Speaker 6>But not every commercial company wants to engage with, you know,

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<v Speaker 6>a company like Valenteer that clearly has very vocal views,

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<v Speaker 6>and that could go against you, you know sometimes when

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<v Speaker 6>you're trying to sell software.

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<v Speaker 4>Man deep seeing of Bloomberg Intelligence, great to have your analysis.

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<v Speaker 2>Let's just talk about technology's impact on the broader market

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<v Speaker 2>right now, because City out with a really interesting note

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<v Speaker 2>warning about positioning in tech stocks in particular right now,

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<v Speaker 2>saying it is so bullish that any sell off could

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<v Speaker 2>actually trigger a wider route with the anas, noting the

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<v Speaker 2>NASDAC shortbets, they've basically been completely cleared. Let's dig into

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<v Speaker 2>what is a concern for the broader market after Tangler

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<v Speaker 2>Investment CIO Nancy Tangler, who we love having on because

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<v Speaker 2>you're micro detail about individual companies they're leaders, but also

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<v Speaker 2>the macro impact of tech right now, are you worried

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<v Speaker 2>about any jitters and what that might mean from the

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<v Speaker 2>smp A broader benchmarks.

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<v Speaker 7>Rilyan, I don't think I'm a permable.

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<v Speaker 8>You know, I've been doing this for forty years, and

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<v Speaker 8>there are plenty of times when you want to head

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<v Speaker 8>your portfolios or get out, but I.

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<v Speaker 7>Don't think this is one of them.

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<v Speaker 8>And I think you use weakness in some of these names.

0:11:23.080 --> 0:11:25.280
<v Speaker 8>If there is a selloff and there we'll get a

0:11:25.320 --> 0:11:28.320
<v Speaker 8>correction and that will be healthy for the market. And

0:11:28.360 --> 0:11:30.240
<v Speaker 8>I think then you want to add to names that

0:11:30.280 --> 0:11:32.240
<v Speaker 8>you either don't own or you don't think you own,

0:11:32.280 --> 0:11:34.880
<v Speaker 8>a not enough of you heard the Palenteer, I mean

0:11:34.880 --> 0:11:38.400
<v Speaker 8>you just had a great interview on Palenteer that was

0:11:38.440 --> 0:11:44.040
<v Speaker 8>an extraordinarily bullish report for the monetization of generative AI.

0:11:44.280 --> 0:11:45.800
<v Speaker 7>So the naysayers.

0:11:45.200 --> 0:11:47.960
<v Speaker 8>Have have been fleeing the tech trade for the last

0:11:47.960 --> 0:11:49.480
<v Speaker 8>four years that I can remember.

0:11:50.000 --> 0:11:51.640
<v Speaker 7>It might be actually even longer.

0:11:51.679 --> 0:11:54.920
<v Speaker 8>And every time technology comes back, and we've talked about

0:11:54.920 --> 0:11:58.199
<v Speaker 8>how they're the new defensive names because they generate reliable

0:11:58.240 --> 0:12:01.400
<v Speaker 8>earnings growth, and we've seen that again this earning season.

0:12:02.280 --> 0:12:05.320
<v Speaker 2>What's been interesting is perhaps some of the companies that

0:12:05.360 --> 0:12:08.240
<v Speaker 2>have outperformed that we finally get to understand where AI

0:12:08.320 --> 0:12:10.760
<v Speaker 2>fits into the business model, and one that you haven't

0:12:10.880 --> 0:12:14.200
<v Speaker 2>liked has been marks like a Berg's Meta remind us

0:12:14.200 --> 0:12:17.200
<v Speaker 2>of why and why perhaps you know, are you changing

0:12:17.200 --> 0:12:19.319
<v Speaker 2>your tune since the Mega rally come Friday?

0:12:20.960 --> 0:12:23.560
<v Speaker 8>No, I mean, we've owned it in the past, and

0:12:23.600 --> 0:12:25.360
<v Speaker 8>we've made a lot of money on the stock, and

0:12:25.400 --> 0:12:27.800
<v Speaker 8>we got out in the high three hundreds a couple

0:12:27.880 --> 0:12:30.559
<v Speaker 8>of years back, and you know, I've.

0:12:30.360 --> 0:12:31.520
<v Speaker 7>Been wrong on that.

0:12:31.720 --> 0:12:35.520
<v Speaker 8>But there are other places where we've put our client's

0:12:35.640 --> 0:12:39.280
<v Speaker 8>money and those have been maybe maybe not quite as

0:12:39.280 --> 0:12:40.960
<v Speaker 8>good or in some cases better.

0:12:41.360 --> 0:12:43.720
<v Speaker 7>But I just don't like the two share structure. I

0:12:43.760 --> 0:12:47.960
<v Speaker 7>don't like the business model, and you know, and I've

0:12:48.000 --> 0:12:50.720
<v Speaker 7>been wrong. So it's an advertising company for sure.

0:12:51.480 --> 0:12:55.160
<v Speaker 8>They are going to adapt and adopt AI and that

0:12:55.200 --> 0:12:58.800
<v Speaker 8>will probably continue to drive margins. But we just there's

0:12:58.840 --> 0:13:01.040
<v Speaker 8>better places in our view. So that's where we've been

0:13:01.120 --> 0:13:01.640
<v Speaker 8>hiding out.

0:13:02.480 --> 0:13:05.400
<v Speaker 4>Okay, so what would Meta and Zuckerberg have to do

0:13:06.160 --> 0:13:07.079
<v Speaker 4>to change your mind?

0:13:08.760 --> 0:13:11.959
<v Speaker 8>Well, I think for now we've missed it ed and

0:13:12.520 --> 0:13:15.360
<v Speaker 8>so I love the dividend and whether or not it

0:13:15.400 --> 0:13:17.880
<v Speaker 8>was self serving, I think he keeps about seven hundred

0:13:17.920 --> 0:13:20.400
<v Speaker 8>million dollars a year from the dividend. I love the

0:13:20.440 --> 0:13:23.320
<v Speaker 8>notion of it, and I think Google should be paying

0:13:23.320 --> 0:13:28.520
<v Speaker 8>attention Amazon, which is a free cash flow course or tank,

0:13:28.600 --> 0:13:29.960
<v Speaker 8>whereever you want to characterize it.

0:13:30.320 --> 0:13:32.640
<v Speaker 7>But in terms of Meta, I just I think we've

0:13:32.640 --> 0:13:33.000
<v Speaker 7>missed it.

0:13:33.040 --> 0:13:35.920
<v Speaker 8>So it would have to come down from evaluation standpoint,

0:13:35.920 --> 0:13:41.400
<v Speaker 8>and we would need to see continued monetization across their platforms.

0:13:41.840 --> 0:13:44.880
<v Speaker 8>But you know, listen, he's done a great job and

0:13:44.920 --> 0:13:46.000
<v Speaker 8>there's no disputing it.

0:13:47.720 --> 0:13:48.120
<v Speaker 3>Nancie.

0:13:48.440 --> 0:13:52.800
<v Speaker 4>There are a few things as romantic and poetic as

0:13:52.800 --> 0:13:56.600
<v Speaker 4>the Bloomberg Markets wrap headline, which reads Wall Street on

0:13:56.760 --> 0:14:00.640
<v Speaker 4>hold as trade is a wait more fed speak inspiration

0:14:01.559 --> 0:14:04.560
<v Speaker 4>and energy in the market. But it reminds us we

0:14:04.840 --> 0:14:07.319
<v Speaker 4>forget all of the AI stuff. We're still waiting on

0:14:07.360 --> 0:14:07.880
<v Speaker 4>the FED, right.

0:14:09.760 --> 0:14:12.680
<v Speaker 8>I think the market is beginning to not listen to

0:14:12.720 --> 0:14:15.200
<v Speaker 8>the FED. And the reason I say that, ed is

0:14:15.200 --> 0:14:20.280
<v Speaker 8>if you go back and look at Chairman Pal's comments. Historically,

0:14:20.360 --> 0:14:24.080
<v Speaker 8>he has been adamant about we're not even thinking about

0:14:24.160 --> 0:14:27.520
<v Speaker 8>thinking about raising rates. We won't raise seventy five basis points.

0:14:27.720 --> 0:14:30.040
<v Speaker 8>We're going to stay higher for longer. And each time

0:14:30.080 --> 0:14:33.400
<v Speaker 8>he made those statements, he reversed himself a short time later.

0:14:33.680 --> 0:14:36.560
<v Speaker 8>So I think what the market is seeing is a

0:14:37.880 --> 0:14:40.480
<v Speaker 8>we may or may not get a cut in March,

0:14:40.560 --> 0:14:43.560
<v Speaker 8>but we will get cuts this year. I think that

0:14:43.640 --> 0:14:46.320
<v Speaker 8>the market is willing to coexist as we did in

0:14:46.360 --> 0:14:48.800
<v Speaker 8>the nineties, and I've talked about that on your show,

0:14:49.120 --> 0:14:51.120
<v Speaker 8>with higher interest rates because they're.

0:14:50.960 --> 0:14:52.560
<v Speaker 7>Not debilitating and we've seen that.

0:14:52.640 --> 0:14:55.360
<v Speaker 8>I mean, for the large tech companies, higher interest rates

0:14:55.560 --> 0:15:00.280
<v Speaker 8>have actually been augured well to their balance sheet. They've

0:15:00.320 --> 0:15:03.560
<v Speaker 8>grown cash because of the higher interest are receiving on cash.

0:15:03.600 --> 0:15:05.520
<v Speaker 7>So I think that the market is.

0:15:05.520 --> 0:15:10.000
<v Speaker 8>Saying, Okay, productivity is improving, there is a tight labor market,

0:15:10.040 --> 0:15:13.400
<v Speaker 8>and again that's going to continue to benefit technology companies.

0:15:13.680 --> 0:15:16.680
<v Speaker 8>The FED matters less and less each day that goes.

0:15:16.480 --> 0:15:17.240
<v Speaker 7>By my view.

0:15:18.440 --> 0:15:21.240
<v Speaker 4>Nancy Tangler of Laffa Tengler Investments. Great to catch up,

0:15:21.240 --> 0:15:23.240
<v Speaker 4>Great to have you on the program, Thank you very much.

0:15:23.640 --> 0:15:27.040
<v Speaker 4>Coming up here on Bloomberg Technology, we Work co founder

0:15:27.080 --> 0:15:30.920
<v Speaker 4>Adam Newman and capital providers including Dan Lobe's Third Point,

0:15:31.200 --> 0:15:34.200
<v Speaker 4>are working together to explore an offer to buy the

0:15:34.240 --> 0:15:38.360
<v Speaker 4>coworking firm out of bankruptcy. According to a letter sent

0:15:38.440 --> 0:15:41.160
<v Speaker 4>to wee Work's lawyers, I did just say that and

0:15:41.200 --> 0:15:42.120
<v Speaker 4>we will discuss it.

0:15:42.120 --> 0:15:46.000
<v Speaker 2>Next caroc ah deja vu Adam Newman again. Meanwhile, let's

0:15:46.000 --> 0:15:47.720
<v Speaker 2>have a little look at what's happening with Hertz because

0:15:47.720 --> 0:15:52.280
<v Speaker 2>actually we're now trading higher on the course Juggernaut for

0:15:52.400 --> 0:15:54.960
<v Speaker 2>car Rental, we're up some nine percent. We had dipped

0:15:55.000 --> 0:15:58.560
<v Speaker 2>into the read earlier because they massively lot missed in

0:15:58.640 --> 0:16:02.160
<v Speaker 2>terms of their overall earnings share loss adjusted. One dollar

0:16:02.240 --> 0:16:04.440
<v Speaker 2>thirty six per share is what they got. Why, Because

0:16:04.440 --> 0:16:07.720
<v Speaker 2>they're selling down. They're offloading those twenty thousand Tesla evs,

0:16:08.240 --> 0:16:11.200
<v Speaker 2>about one third of its overall electric fleet. But for now,

0:16:11.280 --> 0:16:13.520
<v Speaker 2>investors starting to see some opportunity as to how they

0:16:13.640 --> 0:16:16.960
<v Speaker 2>cut costs going forward. This is bruly meg technology.

0:16:27.160 --> 0:16:28.920
<v Speaker 3>Okay, time for talking tech and first up.

0:16:29.000 --> 0:16:33.800
<v Speaker 4>Potential investors in Elon Musk's artificial intelligence startup XAI are

0:16:33.840 --> 0:16:37.640
<v Speaker 4>focusing in on two key selling points, access to Musk's

0:16:37.680 --> 0:16:41.160
<v Speaker 4>array of companies, also known as the Musconomy, and the

0:16:41.200 --> 0:16:44.200
<v Speaker 4>early success of a titan in the space open Ai.

0:16:44.360 --> 0:16:48.640
<v Speaker 4>A slide deck that circulated among potential xi investors in

0:16:48.720 --> 0:16:53.640
<v Speaker 4>December and January prominently features both Musk Strap Record and

0:16:53.880 --> 0:16:58.240
<v Speaker 4>open Ai, including a slide showcasing the key attributes that

0:16:58.400 --> 0:17:02.440
<v Speaker 4>drove open AI's six more coming. Plus, the newly released

0:17:02.480 --> 0:17:05.840
<v Speaker 4>Apple and vision Pro headset is presenting some customer service

0:17:05.880 --> 0:17:08.760
<v Speaker 4>snags for users. If a Vision Pro owner forgets their

0:17:08.800 --> 0:17:11.399
<v Speaker 4>pass code, the only way to get the device working

0:17:11.440 --> 0:17:14.080
<v Speaker 4>again is by bringing it to an Apple store or

0:17:14.160 --> 0:17:17.159
<v Speaker 4>mailing it to Apple Care custos. Smart Apple would then

0:17:17.400 --> 0:17:20.600
<v Speaker 4>raise and reset it. And we Work co founder Adam

0:17:20.640 --> 0:17:23.600
<v Speaker 4>Newman is teaming up with capital providers, including dan Load's

0:17:23.600 --> 0:17:26.840
<v Speaker 4>Third Point, to explore an offer to buy the coworking

0:17:26.920 --> 0:17:29.800
<v Speaker 4>firm out of bankruptcy that according to a letter sent

0:17:29.840 --> 0:17:32.120
<v Speaker 4>to Weework's lawyers, Newman and Third Point I mean trying

0:17:32.119 --> 0:17:34.920
<v Speaker 4>to get the information necessary to formulate a bid which

0:17:34.920 --> 0:17:37.960
<v Speaker 4>would be for the entire company or its assets back

0:17:38.000 --> 0:17:39.400
<v Speaker 4>since September December.

0:17:39.440 --> 0:17:41.800
<v Speaker 2>Sorry, Cara, and we are going to dig into this

0:17:41.840 --> 0:17:43.960
<v Speaker 2>more because it's not the first time that Anna Newman's

0:17:44.080 --> 0:17:45.840
<v Speaker 2>wanted to ride to the rescue on there. Mart Million

0:17:46.119 --> 0:17:48.600
<v Speaker 2>joins us now for more on the story, and actually,

0:17:48.640 --> 0:17:50.639
<v Speaker 2>like leak twenty twenty two, who is trying to make

0:17:50.680 --> 0:17:54.439
<v Speaker 2>bids to basically resuscitate this company he was so associated with.

0:17:55.160 --> 0:17:57.560
<v Speaker 9>Yes, so apparently there's been a lot happening behind the

0:17:57.560 --> 0:18:00.320
<v Speaker 9>scenes that hasn't been too deeply reported on. But Newman

0:18:00.480 --> 0:18:03.520
<v Speaker 9>just like can't let go of this old company that

0:18:03.600 --> 0:18:06.960
<v Speaker 9>he started. So it's like we're maybe going to get

0:18:06.960 --> 0:18:10.120
<v Speaker 9>we crash season two, Adam Newman coming back. It'll be fun.

0:18:10.160 --> 0:18:13.200
<v Speaker 9>So yeah, as you mentioned, he apparently made a bid

0:18:13.240 --> 0:18:15.680
<v Speaker 9>in twenty twenty two. According to his letter, he most

0:18:15.720 --> 0:18:20.879
<v Speaker 9>recently offer another sort of like bankruptcy financing offer, and

0:18:20.960 --> 0:18:24.760
<v Speaker 9>now he's teaming up with other financiers to make a

0:18:24.800 --> 0:18:27.160
<v Speaker 9>big bid, maybe to buy the whole company.

0:18:27.520 --> 0:18:28.680
<v Speaker 3>He hasn't been too.

0:18:28.600 --> 0:18:31.119
<v Speaker 9>Specific, but he says he's frustrated because the company is

0:18:31.160 --> 0:18:33.439
<v Speaker 9>not taking him seriously, not giving him the information that

0:18:33.520 --> 0:18:34.280
<v Speaker 9>he wants.

0:18:35.040 --> 0:18:37.960
<v Speaker 4>Mark Millian sharing his idea of fun with the millions

0:18:37.960 --> 0:18:38.399
<v Speaker 4>of yous.

0:18:39.560 --> 0:18:40.600
<v Speaker 3>What is We Work?

0:18:41.160 --> 0:18:43.479
<v Speaker 4>What it is now and what they if they save it,

0:18:43.560 --> 0:18:45.439
<v Speaker 4>hope to make it into.

0:18:45.640 --> 0:18:49.880
<v Speaker 9>We Work is in bankruptcy. It's deep in debt. They

0:18:50.040 --> 0:18:55.600
<v Speaker 9>can't pay their bills. They're renegotiating with their landlords. We

0:18:55.720 --> 0:18:58.840
<v Speaker 9>Work is in deep, deep trouble. And for a lot

0:18:58.840 --> 0:19:01.960
<v Speaker 9>of people, We Work is Adam Newman, which is why

0:19:01.960 --> 0:19:03.840
<v Speaker 9>in some ways this does make sense. I mean, he

0:19:04.640 --> 0:19:07.240
<v Speaker 9>deserves much of the credit for driving the company into

0:19:07.240 --> 0:19:10.000
<v Speaker 9>the ground, which is why he was kind of pushed

0:19:10.000 --> 0:19:13.640
<v Speaker 9>to step down in twenty nineteen. But the last few

0:19:13.720 --> 0:19:16.480
<v Speaker 9>years it's been a tough It's been a tough economy

0:19:16.600 --> 0:19:18.600
<v Speaker 9>for a real estate business, for a commercial real estate

0:19:18.640 --> 0:19:21.720
<v Speaker 9>business in particular. So I don't know that Adam Newman

0:19:21.760 --> 0:19:24.040
<v Speaker 9>would have been able to lead We Work out of

0:19:24.040 --> 0:19:26.520
<v Speaker 9>the crisis that it went through in the pandemic. But

0:19:27.080 --> 0:19:30.000
<v Speaker 9>what is we Work without Adam Newman? Can can most

0:19:30.040 --> 0:19:34.320
<v Speaker 9>people even like name the last couple CEOs of the company,

0:19:35.600 --> 0:19:38.440
<v Speaker 9>And so maybe maybe this doesn't make sense.

0:19:38.480 --> 0:19:39.240
<v Speaker 3>Maybe this is We.

0:19:39.359 --> 0:19:42.359
<v Speaker 9>Works last shot, and maybe they should take him seriously

0:19:42.359 --> 0:19:44.160
<v Speaker 9>at least that's what he's arguing.

0:19:43.840 --> 0:19:44.399
<v Speaker 3>To the company.

0:19:44.960 --> 0:19:47.159
<v Speaker 4>All right, but invegs Monk Millian on the what next

0:19:47.160 --> 0:19:49.560
<v Speaker 4>for we We'll keep tracking it. Another top story in

0:19:49.680 --> 0:19:52.440
<v Speaker 4>Vidia and Cisco. It's teaming up to help companies build

0:19:52.560 --> 0:19:55.480
<v Speaker 4>in house AI computing, an attempt to push the tech

0:19:55.560 --> 0:19:58.040
<v Speaker 4>beyond the big data center provide a Cisco is going

0:19:58.080 --> 0:20:01.720
<v Speaker 4>to offering Vidio based equipment popular for developing AI models,

0:20:01.760 --> 0:20:04.879
<v Speaker 4>along with its own networking gear. And herein lies the

0:20:04.960 --> 0:20:09.359
<v Speaker 4>story forget h one hundred. There are other things Ethernet cables,

0:20:09.640 --> 0:20:11.879
<v Speaker 4>other server design components that go into all of this,

0:20:12.119 --> 0:20:14.040
<v Speaker 4>and Cisco has been saying for a little while we

0:20:14.119 --> 0:20:14.919
<v Speaker 4>will get some of this.

0:20:15.760 --> 0:20:18.960
<v Speaker 10>Yeah, that's absolutely true. What Cisco is really offering here,

0:20:19.040 --> 0:20:21.679
<v Speaker 10>more than anything else, for Invidia is a sales force.

0:20:22.119 --> 0:20:26.480
<v Speaker 10>Invidia doesn't have a channel into this world of companies,

0:20:26.840 --> 0:20:29.720
<v Speaker 10>of corporate data centers, of all of these small to

0:20:29.760 --> 0:20:33.680
<v Speaker 10>medium all the way up to large companies that want

0:20:33.720 --> 0:20:36.000
<v Speaker 10>to perhaps get in on the AI game, want to

0:20:36.040 --> 0:20:39.240
<v Speaker 10>perhaps put their own hardware in place, but just to

0:20:39.359 --> 0:20:41.800
<v Speaker 10>have no real way of doing that. And that's what

0:20:41.920 --> 0:20:44.760
<v Speaker 10>Cisco can offer for in Vidia here, or at least.

0:20:44.680 --> 0:20:48.480
<v Speaker 4>That's the plan the Nvidia processes go into them seven.

0:20:49.200 --> 0:20:50.879
<v Speaker 4>But if you look at where Nvidia sells to the

0:20:50.880 --> 0:20:53.440
<v Speaker 4>cloud providers, it's kind of shifting some spend.

0:20:53.560 --> 0:20:56.280
<v Speaker 10>Basically, well, they're trying to right, I mean, not a

0:20:56.320 --> 0:20:59.520
<v Speaker 10>done deal. Yeah, tremendous success with the cloud providers, and

0:20:59.560 --> 0:21:02.560
<v Speaker 10>that's absolutely wonderful. You know, it's driven their sales to

0:21:03.080 --> 0:21:06.080
<v Speaker 10>you unprecedented levels and it's great, but it's already forty

0:21:06.080 --> 0:21:08.760
<v Speaker 10>percent of their revenue. There's a risk there. I mean,

0:21:08.800 --> 0:21:11.840
<v Speaker 10>what are Microsoft, what are Amazon? What are Google doing?

0:21:11.880 --> 0:21:14.600
<v Speaker 10>They're making their own chips. Clearly they know the importance

0:21:14.640 --> 0:21:15.959
<v Speaker 10>of these things and want to do it themselves.

0:21:15.960 --> 0:21:17.240
<v Speaker 3>They don't want to be beholding all.

0:21:17.240 --> 0:21:20.439
<v Speaker 4>Right, Bloomberzi and King, thank you well the election. With

0:21:20.520 --> 0:21:24.200
<v Speaker 4>Nevada holding its state run Democratic and Republican primaries today,

0:21:24.200 --> 0:21:27.560
<v Speaker 4>the US election is on everyone's mind, including metas. The

0:21:27.600 --> 0:21:31.480
<v Speaker 4>tech giant will begin labeling more posts that were created

0:21:31.680 --> 0:21:34.439
<v Speaker 4>using AI tools as part of a broader effort to

0:21:34.560 --> 0:21:38.720
<v Speaker 4>prevent misinformation and deception from spreading on the platform's Facebook,

0:21:38.720 --> 0:21:42.240
<v Speaker 4>Instagram and threads during what is a critical election year.

0:21:42.320 --> 0:21:45.159
<v Speaker 4>Let's bring in Bloombergs, Kirt Wagner and Kurt this morning,

0:21:45.400 --> 0:21:49.160
<v Speaker 4>you did an interview with Nick Clegg at Meta, and.

0:21:49.119 --> 0:21:50.320
<v Speaker 3>I guess the question.

0:21:50.040 --> 0:21:54.800
<v Speaker 4>Around Meta is always whether that one definitive policy or

0:21:54.880 --> 0:21:57.520
<v Speaker 4>point of technology is going to fix all of this,

0:21:57.920 --> 0:22:01.320
<v Speaker 4>which we know the issue is the spread of misinformation.

0:22:02.800 --> 0:22:05.680
<v Speaker 11>Yeah, and I think the easy answer is that no, Right,

0:22:05.720 --> 0:22:08.920
<v Speaker 11>there's never going to be a single solution to a problem,

0:22:09.040 --> 0:22:13.080
<v Speaker 11>especially when it's complicated as AI generated content. And while

0:22:13.119 --> 0:22:16.400
<v Speaker 11>META is trying to you know, push forward into digital

0:22:16.440 --> 0:22:19.760
<v Speaker 11>water marking and metadata. Right, So, if you create an

0:22:19.760 --> 0:22:24.080
<v Speaker 11>AI generated photo or video using metas tools or even

0:22:24.119 --> 0:22:27.000
<v Speaker 11>some others in the industry, Google Open AI others like that,

0:22:27.040 --> 0:22:30.160
<v Speaker 11>there's going to be these sort of invisible markers on

0:22:30.200 --> 0:22:32.320
<v Speaker 11>that content that then META can use to sort of

0:22:32.400 --> 0:22:34.600
<v Speaker 11>label it. But you know, bad actors aren't going to

0:22:34.600 --> 0:22:37.080
<v Speaker 11>follow those rules, right, They're going to figure out ways

0:22:37.119 --> 0:22:40.159
<v Speaker 11>to try and get around these watermarks, to try and

0:22:40.200 --> 0:22:43.680
<v Speaker 11>get around miss metadata because they're out to cause chaos.

0:22:43.760 --> 0:22:46.879
<v Speaker 11>And so I think Nick Clegg, to his credit, acknowledged

0:22:46.960 --> 0:22:49.080
<v Speaker 11>that this is not a one size fits all solution,

0:22:49.400 --> 0:22:51.360
<v Speaker 11>but it is better than nothing for them.

0:22:51.720 --> 0:22:54.679
<v Speaker 2>Of Course, Nick Clegg so integral to these sorts of conversations,

0:22:54.720 --> 0:22:57.000
<v Speaker 2>having had his own role in politics in the UK

0:22:57.119 --> 0:22:59.800
<v Speaker 2>for so long before coming on to Meta. I'm interested

0:22:59.840 --> 0:23:02.159
<v Speaker 2>in what he had to say, particularly around the recent

0:23:02.520 --> 0:23:06.040
<v Speaker 2>audio doctrin of Biden ahead of the primaries that seems

0:23:06.080 --> 0:23:08.480
<v Speaker 2>to have been a real catalyst for worrying about AI

0:23:08.560 --> 0:23:11.760
<v Speaker 2>around elections. He seemed almost relatively optimistic, right.

0:23:12.640 --> 0:23:15.040
<v Speaker 11>Yeah, I was surprised. One of the questions I was

0:23:15.080 --> 0:23:17.120
<v Speaker 11>most eager to ask him was, you know, how big

0:23:17.160 --> 0:23:18.439
<v Speaker 11>of a deal is this going to be for the

0:23:18.440 --> 0:23:20.040
<v Speaker 11>twenty twenty four US election?

0:23:20.240 --> 0:23:20.400
<v Speaker 7>Right?

0:23:20.440 --> 0:23:23.560
<v Speaker 11>We're all sort of bracing for this inevitable moment where

0:23:23.600 --> 0:23:25.800
<v Speaker 11>one of the candidates has a deep fake of them

0:23:25.840 --> 0:23:29.240
<v Speaker 11>that goes viral online and it harms their campaign. And

0:23:29.720 --> 0:23:32.480
<v Speaker 11>Clegg was not nearly as concerned as I thought he

0:23:32.520 --> 0:23:34.639
<v Speaker 11>would be. And most of that is because he's like,

0:23:35.000 --> 0:23:37.520
<v Speaker 11>everyone is already looking for this stuff. Right the minute

0:23:37.560 --> 0:23:40.520
<v Speaker 11>that this happens, the minute that you know Joe Biden

0:23:40.760 --> 0:23:42.640
<v Speaker 11>is seen in a deep fake, his campaign is going

0:23:42.680 --> 0:23:44.640
<v Speaker 11>to raise the alarm. They're going to call Meta, they're

0:23:44.680 --> 0:23:47.040
<v Speaker 11>going to call the press. And so his sort of

0:23:47.240 --> 0:23:49.960
<v Speaker 11>feeling was like, there's so many people paying attention right

0:23:50.000 --> 0:23:53.360
<v Speaker 11>now compared to years past that he doesn't actually anticipate

0:23:53.400 --> 0:23:54.800
<v Speaker 11>this is going to be as big of an issue

0:23:54.960 --> 0:23:57.240
<v Speaker 11>as I think a lot of other people worry about.

0:23:57.960 --> 0:24:00.639
<v Speaker 2>How refreshing is some optimism, Kurt, weapmon, We thank you

0:24:00.720 --> 0:24:03.360
<v Speaker 2>so much, coming to us from Denver. Meanwhile, let's talk

0:24:03.400 --> 0:24:06.360
<v Speaker 2>more about potential threats and indeed some of the benefits

0:24:06.400 --> 0:24:09.280
<v Speaker 2>the way in which AI technologies might be a solve

0:24:09.440 --> 0:24:12.880
<v Speaker 2>and play a role across the year of global election cycles.

0:24:12.960 --> 0:24:16.000
<v Speaker 2>Christopher Olberg's with us. You see a threat intelligence cloud

0:24:16.000 --> 0:24:20.240
<v Speaker 2>platform recorded future. Christopher, your expertise here. Let's just just

0:24:20.440 --> 0:24:23.080
<v Speaker 2>dwell on what we were hearing from Kurt, the fact

0:24:23.119 --> 0:24:26.439
<v Speaker 2>that there's some optimism that everyone's focused on it, so

0:24:26.480 --> 0:24:28.400
<v Speaker 2>we won't be able to have this sort of level

0:24:28.440 --> 0:24:31.560
<v Speaker 2>of misinformation and deep fakes that we're worried about. Do

0:24:31.600 --> 0:24:32.120
<v Speaker 2>you agree?

0:24:33.400 --> 0:24:35.720
<v Speaker 12>Yeah, I know, first of all, I love optimism, just

0:24:35.760 --> 0:24:38.520
<v Speaker 12>to be clear, So that's good. In the second, you know,

0:24:38.600 --> 0:24:41.919
<v Speaker 12>the amazing thing is that we're actually sort of able

0:24:41.960 --> 0:24:44.159
<v Speaker 12>to collect all this data and we can organize it,

0:24:44.240 --> 0:24:46.080
<v Speaker 12>we can analyze it. Then we can sort of look

0:24:46.359 --> 0:24:49.159
<v Speaker 12>for what's anomalists the stuff that does stand out, And

0:24:49.240 --> 0:24:51.560
<v Speaker 12>I think it's fair fair to say that the sort

0:24:51.600 --> 0:24:54.000
<v Speaker 12>of the big things. You know, if somebody does that

0:24:54.080 --> 0:24:56.399
<v Speaker 12>deep fake, whether it's Joe Biden or Trump, and you

0:24:56.440 --> 0:24:57.879
<v Speaker 12>know we're going to be able to find that. You

0:24:57.920 --> 0:24:59.720
<v Speaker 12>may not even need an algorithm. I think it's the

0:24:59.760 --> 0:25:02.680
<v Speaker 12>real point. I actually worry more about the subtle stuff.

0:25:02.720 --> 0:25:06.639
<v Speaker 12>When somebody in a subdistrict in Ohio somewhere, that is

0:25:06.680 --> 0:25:09.160
<v Speaker 12>the place which is actually going to make the difference

0:25:09.200 --> 0:25:11.920
<v Speaker 12>whether an election goes left or right, where somebody may

0:25:11.960 --> 0:25:14.159
<v Speaker 12>not even have to introduce fake stuff, but they just

0:25:14.200 --> 0:25:18.640
<v Speaker 12>need to manipulate the actual news stream of actual events happening.

0:25:19.000 --> 0:25:21.719
<v Speaker 12>There's much more subtle manipulation that I think we need

0:25:21.760 --> 0:25:24.960
<v Speaker 12>to watch for, and these big deep fakes that will

0:25:25.000 --> 0:25:26.760
<v Speaker 12>be sort of I don't worry too much about that.

0:25:26.920 --> 0:25:28.119
<v Speaker 7>So let's hypothesize.

0:25:28.240 --> 0:25:30.960
<v Speaker 12>Seemed to be tefla on wise anyway, So I.

0:25:30.880 --> 0:25:35.520
<v Speaker 2>Mean, Christopher hypothesize. You know, there's a manipulated photo of

0:25:35.720 --> 0:25:38.320
<v Speaker 2>the local polling station where you might go and cast

0:25:38.359 --> 0:25:42.320
<v Speaker 2>your vote. These sort of more intricate, smaller scale issues

0:25:42.640 --> 0:25:46.080
<v Speaker 2>that really impact certain moves within certain states and geographies.

0:25:46.119 --> 0:25:51.160
<v Speaker 2>Then how do we as a nation give the average

0:25:51.200 --> 0:25:55.880
<v Speaker 2>consumer confidence that they're not being manipulated so.

0:25:55.960 --> 0:25:57.879
<v Speaker 12>I think that's going to take a long time. This

0:25:57.960 --> 0:26:01.240
<v Speaker 12>is not going to happen overnight. This is that you know,

0:26:01.560 --> 0:26:04.399
<v Speaker 12>we heard Paul no Cassona from NSA that we just

0:26:04.400 --> 0:26:06.280
<v Speaker 12>step down from NSA say the end of the day.

0:26:06.320 --> 0:26:09.119
<v Speaker 12>That look, the sort of his view was that our

0:26:09.160 --> 0:26:11.399
<v Speaker 12>election as we come into twenty twenty four is going

0:26:11.480 --> 0:26:14.359
<v Speaker 12>to be the safest on record. So that's good to hear. Now,

0:26:14.480 --> 0:26:16.639
<v Speaker 12>it's an interesting year. The US has a big election.

0:26:16.720 --> 0:26:19.480
<v Speaker 12>There's you can count twenty you can actually count forty

0:26:19.760 --> 0:26:22.800
<v Speaker 12>major elections in the world around, you know, sort of here.

0:26:22.960 --> 0:26:28.040
<v Speaker 12>You know, in the full year, UK, Singapore or Indonesia, India,

0:26:28.080 --> 0:26:30.560
<v Speaker 12>wherever you want to go, there's big elections. So I

0:26:30.560 --> 0:26:32.679
<v Speaker 12>don't think we're going to get confidence on this in

0:26:32.680 --> 0:26:35.880
<v Speaker 12>the short order. There's ways we can deal with these problems,

0:26:35.880 --> 0:26:37.800
<v Speaker 12>but it's gonna the cat is out of the bag,

0:26:37.840 --> 0:26:40.040
<v Speaker 12>and I think it's going to take some time before

0:26:40.119 --> 0:26:42.480
<v Speaker 12>we can get back to a place of confidence. It's

0:26:42.480 --> 0:26:43.480
<v Speaker 12>not going to happen overnight.

0:26:44.720 --> 0:26:47.399
<v Speaker 4>The challenge here is the same as we see in

0:26:47.440 --> 0:26:52.879
<v Speaker 4>the cybersecurity context, that there is access to artificial intelligence

0:26:52.920 --> 0:26:57.080
<v Speaker 4>technology for defense and the threat actors have access to

0:26:57.160 --> 0:27:01.800
<v Speaker 4>the same artificial intelligence technology in the context of this election,

0:27:02.119 --> 0:27:04.840
<v Speaker 4>how do you feel about who has the balance of

0:27:04.920 --> 0:27:08.000
<v Speaker 4>competence of how to use it? The threat actors or

0:27:08.040 --> 0:27:11.919
<v Speaker 4>companies like yours who aim to help fight back and

0:27:12.000 --> 0:27:15.560
<v Speaker 4>prevent things spreading like AI generated content.

0:27:16.480 --> 0:27:18.440
<v Speaker 12>So, first of all, the good news is to the

0:27:18.520 --> 0:27:21.920
<v Speaker 12>United States have the best AI technology in the world.

0:27:22.000 --> 0:27:25.640
<v Speaker 12>I think we've actually done work in our own analysis

0:27:25.640 --> 0:27:27.719
<v Speaker 12>here at the Record of Future where we've gotten our

0:27:27.760 --> 0:27:31.280
<v Speaker 12>hands on the sort of tiptop best Russian and Chinese

0:27:31.280 --> 0:27:35.320
<v Speaker 12>AI and using whatever methods we'll leave it at that,

0:27:35.640 --> 0:27:37.680
<v Speaker 12>to get our hands on it and playing with it

0:27:37.760 --> 0:27:40.360
<v Speaker 12>and you know, doing all kinds of interesting stuff with it.

0:27:40.359 --> 0:27:42.320
<v Speaker 12>It's not as good as what we have here. So

0:27:42.359 --> 0:27:44.960
<v Speaker 12>the good news is the US is ahead, and it's

0:27:44.960 --> 0:27:48.000
<v Speaker 12>important that we keep being ahead. And I think there's

0:27:48.080 --> 0:27:50.879
<v Speaker 12>incredible there are incredible ways that we can apply this

0:27:50.960 --> 0:27:55.680
<v Speaker 12>sort of intelligence to be able to discern malicious information,

0:27:55.720 --> 0:27:58.800
<v Speaker 12>among other things. So there's great ways that we can

0:27:58.840 --> 0:28:00.960
<v Speaker 12>help with that. And to your point, it's no different

0:28:00.960 --> 0:28:04.640
<v Speaker 12>with sort of general cybersecurity, general intelligence and we're talking

0:28:04.640 --> 0:28:07.119
<v Speaker 12>about here in this information. But we're going to have

0:28:07.119 --> 0:28:09.320
<v Speaker 12>to keep investing We're going to have to be aggressive.

0:28:09.600 --> 0:28:12.000
<v Speaker 12>We have to be careful so that we don't put

0:28:12.160 --> 0:28:16.920
<v Speaker 12>big regulatory stamps or stops in the way of staying ahead. Again,

0:28:16.960 --> 0:28:20.360
<v Speaker 12>the US has ad of Europe because of regulatory sort

0:28:20.400 --> 0:28:22.520
<v Speaker 12>of being a little bit more permissive over here. So

0:28:22.520 --> 0:28:23.639
<v Speaker 12>we have a lot of good notes for us.

0:28:23.720 --> 0:28:24.560
<v Speaker 7>We've got to keep that.

0:28:26.000 --> 0:28:29.280
<v Speaker 4>Chris Fauberg, CEO of Recorded Future, we appreciate the optimism

0:28:29.320 --> 0:28:29.800
<v Speaker 4>on this show.

0:28:29.880 --> 0:28:32.000
<v Speaker 3>Thank you. Now coming out, we're going to discuss all.

0:28:31.920 --> 0:28:35.800
<v Speaker 4>Things European venture capital with Hector Mason from episode one

0:28:35.880 --> 0:28:37.600
<v Speaker 4>ventures Tune in for that conversation.

0:28:37.680 --> 0:28:38.600
<v Speaker 3>Caroen, what are you looking at?

0:28:38.760 --> 0:28:42.480
<v Speaker 2>Actually looking across the Japan and Nintendo's raised it's forecast

0:28:42.480 --> 0:28:45.000
<v Speaker 2>for the Switch console ed sales. They think they're going

0:28:45.040 --> 0:28:47.400
<v Speaker 2>to have fifteen and a half million in fact for

0:28:47.440 --> 0:28:50.040
<v Speaker 2>this particular year, the fiscal year. The profit actually is

0:28:50.040 --> 0:28:52.640
<v Speaker 2>therefore going to be on the higher end of expectations.

0:28:52.880 --> 0:28:55.000
<v Speaker 2>It looks as though the holiday quarter was pretty good

0:28:55.000 --> 0:28:57.840
<v Speaker 2>customized editions. In fact, of the Switch featuring Super Mario

0:28:58.000 --> 0:29:00.880
<v Speaker 2>and animal crossing themes, it really helped lift the sales

0:29:00.920 --> 0:29:11.640
<v Speaker 2>of the Japanese market above expectations. More broadly, let's take

0:29:11.640 --> 0:29:13.680
<v Speaker 2>a look at the latest in the venture capital world

0:29:13.720 --> 0:29:16.680
<v Speaker 2>over in Europe. Episode one Ventures one of Europe's leading

0:29:16.680 --> 0:29:19.720
<v Speaker 2>early stage funds. It's launching a seventy six million pound fund.

0:29:19.880 --> 0:29:22.720
<v Speaker 2>They're third to invest in B to B software. Let's

0:29:22.760 --> 0:29:24.880
<v Speaker 2>chat through all of it with Hector Mason, general partner

0:29:24.960 --> 0:29:28.160
<v Speaker 2>over at Episode one Ventures. And we're interested Hector in

0:29:28.200 --> 0:29:30.600
<v Speaker 2>particularly some of your cornerstone investors. Not only do you

0:29:30.600 --> 0:29:33.160
<v Speaker 2>take money from seasoned fowlers in and of themselves and

0:29:33.280 --> 0:29:36.280
<v Speaker 2>some great companies that were well known, but also the

0:29:36.400 --> 0:29:39.560
<v Speaker 2>UK government backed money and think of British patient capital

0:29:39.600 --> 0:29:42.640
<v Speaker 2>in particular National Security Strategic Investment Fund. What is it

0:29:42.680 --> 0:29:45.080
<v Speaker 2>that they want to see grown in Europe and in

0:29:45.080 --> 0:29:46.040
<v Speaker 2>the UK more broadly.

0:29:47.880 --> 0:29:51.000
<v Speaker 13>Yeah, absolutely, thanks for having me on. So we have

0:29:51.160 --> 0:29:53.560
<v Speaker 13>been around for a while and we've built a really

0:29:53.560 --> 0:29:54.680
<v Speaker 13>loyal following.

0:29:54.720 --> 0:29:55.720
<v Speaker 3>In our investor base.

0:29:55.800 --> 0:29:57.960
<v Speaker 13>And so for a fund like ours, we're at B

0:29:57.960 --> 0:30:01.080
<v Speaker 13>to B Software fund investing in you see seed stage

0:30:01.120 --> 0:30:04.200
<v Speaker 13>companies largely based over here in the UK with checks

0:30:04.440 --> 0:30:07.960
<v Speaker 13>between three hundred thousand pounds and about three million pounds.

0:30:08.920 --> 0:30:11.880
<v Speaker 13>It's really important to build that diversity among your LP

0:30:12.040 --> 0:30:15.760
<v Speaker 13>based So yes, we have institutional investors who backed US

0:30:15.760 --> 0:30:18.920
<v Speaker 13>fund after fund, But as you mentioned, we also have

0:30:19.040 --> 0:30:23.000
<v Speaker 13>this fantastic group of highly successful entrepreneurs, including the founders

0:30:23.000 --> 0:30:26.280
<v Speaker 13>of many unicorn businesses, who have chosen to trust us

0:30:26.320 --> 0:30:29.200
<v Speaker 13>with some of their money in this latest fund, and

0:30:29.280 --> 0:30:32.000
<v Speaker 13>they come in and alongside those larger investors who are

0:30:32.000 --> 0:30:36.200
<v Speaker 13>investing in US really to ensure that the UK continues

0:30:36.240 --> 0:30:40.520
<v Speaker 13>to deliver outstanding technology on a global stage.

0:30:42.080 --> 0:30:44.680
<v Speaker 4>How would you summarize then the kind of early stage

0:30:44.760 --> 0:30:47.840
<v Speaker 4>environment right now in the UK particularly interesting that you

0:30:47.880 --> 0:30:52.600
<v Speaker 4>are talking pre seed, right that you seem to specialize

0:30:52.680 --> 0:30:55.880
<v Speaker 4>in this area where you can write a small check,

0:30:55.920 --> 0:30:58.680
<v Speaker 4>but many of those portfolio companies do actually go on

0:30:59.200 --> 0:31:00.640
<v Speaker 4>to raise at high levels.

0:31:02.840 --> 0:31:03.040
<v Speaker 7>Yeah.

0:31:03.040 --> 0:31:06.120
<v Speaker 13>Absolutely, we're a specialists at pre seed and seed, and

0:31:06.200 --> 0:31:09.320
<v Speaker 13>so we're investing at the very earliest stages into what

0:31:09.360 --> 0:31:13.120
<v Speaker 13>are initially fledgling startups and we hope and we've seen

0:31:13.160 --> 0:31:16.880
<v Speaker 13>that many of those go on to become large companies

0:31:16.960 --> 0:31:21.200
<v Speaker 13>with many hundreds or even thousands of employees. And so

0:31:21.240 --> 0:31:25.400
<v Speaker 13>the reason that we invest in at this stage is

0:31:25.440 --> 0:31:28.280
<v Speaker 13>that there are fantastic returns available and you get in

0:31:28.280 --> 0:31:31.000
<v Speaker 13>at the ground floor of these companies and you can

0:31:31.080 --> 0:31:35.360
<v Speaker 13>see them progress and go on their journeys to successful outcomes.

0:31:35.400 --> 0:31:38.680
<v Speaker 13>And actually we've seen a seventy five percent graduation rate

0:31:38.720 --> 0:31:41.840
<v Speaker 13>in our portfolio where companies go on to raise successful

0:31:41.880 --> 0:31:45.040
<v Speaker 13>Series A rounds of funding, which is about almost four

0:31:45.040 --> 0:31:47.320
<v Speaker 13>times as high as the market average.

0:31:48.240 --> 0:31:50.840
<v Speaker 2>What's interesting is this comes at a time where the

0:31:50.920 --> 0:31:53.160
<v Speaker 2>UK has very much been trying to put itself front

0:31:53.160 --> 0:31:54.800
<v Speaker 2>the center when it comes to AI. We think of

0:31:54.880 --> 0:31:57.240
<v Speaker 2>the AI Summit late last year. I'm looking at Robin

0:31:57.280 --> 0:32:00.160
<v Speaker 2>Ai among your portfolio companies, a company we've spoken to

0:32:00.200 --> 0:32:03.640
<v Speaker 2>the leader of that business and clearly applying artificial intelligence

0:32:03.640 --> 0:32:09.080
<v Speaker 2>in the legal frame of applications. There is some interesting

0:32:09.400 --> 0:32:11.080
<v Speaker 2>views out there in the UK at the moment that

0:32:11.600 --> 0:32:13.920
<v Speaker 2>there should be more of an impetus to regulate and

0:32:13.960 --> 0:32:16.480
<v Speaker 2>the UK government isn't getting ahead of this. What have

0:32:16.560 --> 0:32:18.360
<v Speaker 2>you made of the UK government saying look, we're just

0:32:18.400 --> 0:32:20.600
<v Speaker 2>waiting and we're watching and we're talking to civil society

0:32:20.920 --> 0:32:22.920
<v Speaker 2>and entrepreneurship in the country more broadly.

0:32:24.240 --> 0:32:26.560
<v Speaker 13>Yeah, Look, it's a great question, and there's a lot

0:32:26.640 --> 0:32:30.880
<v Speaker 13>happening in that space around AI regulation. And we actually

0:32:30.920 --> 0:32:33.160
<v Speaker 13>have a couple of aiphds on our team here at

0:32:33.160 --> 0:32:35.600
<v Speaker 13>episode one, and so we have a natural interest in

0:32:35.640 --> 0:32:38.400
<v Speaker 13>the space and it's really important that people are developing

0:32:38.440 --> 0:32:42.560
<v Speaker 13>these technologies with an ie on being responsible and so

0:32:43.000 --> 0:32:45.520
<v Speaker 13>we love companies like robin Ai, and we have many

0:32:45.560 --> 0:32:48.480
<v Speaker 13>other AI companies in the portfolio who are able to

0:32:49.600 --> 0:32:53.320
<v Speaker 13>build real defensibility around their businesses, and whether that's through

0:32:53.360 --> 0:32:56.000
<v Speaker 13>proprietary data that other people would find it very hard

0:32:56.080 --> 0:32:59.880
<v Speaker 13>to access so they can train models that highly affect

0:33:00.280 --> 0:33:04.360
<v Speaker 13>and can outcompete other players in the market, or actually

0:33:04.400 --> 0:33:07.320
<v Speaker 13>just more generally companies using AI as part of their

0:33:07.400 --> 0:33:10.520
<v Speaker 13>existing SaaS tool to make their products better for their customers.

0:33:10.760 --> 0:33:14.200
<v Speaker 13>We also really like companies that are using AI to

0:33:14.240 --> 0:33:17.920
<v Speaker 13>help enterprise adoption and speed up that process. But you're

0:33:17.960 --> 0:33:20.640
<v Speaker 13>absolutely right, a lot of focus needs to be placed

0:33:20.680 --> 0:33:24.280
<v Speaker 13>on how we can do this responsibly, and we're pleased

0:33:24.280 --> 0:33:27.600
<v Speaker 13>to see that the portfolio is taking responsibility there and

0:33:27.640 --> 0:33:29.880
<v Speaker 13>being cautious around and rolling out the technologies.

0:33:31.560 --> 0:33:34.520
<v Speaker 4>Hector Mason, General Partner, Episode one. Venture is great to

0:33:34.520 --> 0:33:36.720
<v Speaker 4>have some of your time from the UK. We don't

0:33:36.760 --> 0:33:39.480
<v Speaker 4>often talk about that UK market just in isolation. Really

0:33:39.520 --> 0:33:43.840
<v Speaker 4>interesting conversation. A new AI company wants to tackle a

0:33:43.920 --> 0:33:48.320
<v Speaker 4>niche problem in retail finding a home for returned inventory

0:33:48.360 --> 0:33:52.320
<v Speaker 4>that would otherwise be gathering dust. The company called vended

0:33:52.360 --> 0:33:55.880
<v Speaker 4>It is billionaire John Paul de Juria's latest venture and

0:33:55.920 --> 0:33:59.560
<v Speaker 4>delighted to say he joins us right now on Bloomberg Technology.

0:34:00.600 --> 0:34:03.920
<v Speaker 4>This is interesting. If I return any good, it'll end

0:34:04.000 --> 0:34:08.279
<v Speaker 4>up in a warehouse somewhere JP and there is a

0:34:08.320 --> 0:34:11.480
<v Speaker 4>market for that. There are discounters, There are retailers that

0:34:11.560 --> 0:34:14.960
<v Speaker 4>are looking for that big volume of used or returned

0:34:15.040 --> 0:34:18.799
<v Speaker 4>infantry that takes a long time to get hold of it.

0:34:18.880 --> 0:34:20.920
<v Speaker 4>Just explain the point behind venditte.

0:34:21.000 --> 0:34:23.879
<v Speaker 1>Oh you would love to. Okay, By the way, it's

0:34:23.920 --> 0:34:27.400
<v Speaker 1>bigger than people know. One in six of most retail

0:34:27.440 --> 0:34:32.120
<v Speaker 1>products are returned one and six. It's a trillion dollar business.

0:34:32.600 --> 0:34:35.000
<v Speaker 1>About three years ago it was around three hundred I

0:34:35.040 --> 0:34:38.360
<v Speaker 1>think fifty eighty million dollars. This year it will be

0:34:38.400 --> 0:34:42.080
<v Speaker 1>a trillion dollar business. And what happens is this, people

0:34:42.520 --> 0:34:46.279
<v Speaker 1>buy things, manufacturers overload things, okay, and then what do

0:34:46.360 --> 0:34:49.040
<v Speaker 1>they do with it? City and warehouses which cost money,

0:34:49.239 --> 0:34:51.560
<v Speaker 1>Trucks go back and forth. So what we've put together

0:34:51.600 --> 0:34:55.719
<v Speaker 1>here is a special platform that cost the manufacture or

0:34:55.800 --> 0:34:59.759
<v Speaker 1>of course our clients nothing to implement as well as

0:34:59.800 --> 0:35:03.000
<v Speaker 1>you But what it does is it connects the seller

0:35:03.520 --> 0:35:07.560
<v Speaker 1>and the buyer or manufacturer instantaneously right there instead of

0:35:07.600 --> 0:35:10.640
<v Speaker 1>sitting around in the warehouse for weeks and being shuffled around.

0:35:10.920 --> 0:35:14.920
<v Speaker 1>Now it also eliminates landfills because we have to renew

0:35:15.000 --> 0:35:17.759
<v Speaker 1>logic one of our offshoots of our company where we

0:35:17.800 --> 0:35:21.240
<v Speaker 1>redo everything, so it eliminates the landfills or sitting awhered.

0:35:21.239 --> 0:35:25.840
<v Speaker 1>But also this it eliminates tens of thousands of trucks

0:35:26.160 --> 0:35:28.960
<v Speaker 1>hauling stuff back and forth, back and forth, back and forth.

0:35:29.200 --> 0:35:32.239
<v Speaker 1>And then what's there on the shelf. It gives the

0:35:32.280 --> 0:35:34.719
<v Speaker 1>person that has it, whether it's a manufacturer that we

0:35:34.800 --> 0:35:37.880
<v Speaker 1>deal with or the retailer we deal with the highest

0:35:38.000 --> 0:35:41.640
<v Speaker 1>value and highest return instantly where they go directly to

0:35:41.719 --> 0:35:44.040
<v Speaker 1>the second person who buys it. So what we do

0:35:44.200 --> 0:35:47.680
<v Speaker 1>is our software or AI takes on our platform, it

0:35:47.719 --> 0:35:49.880
<v Speaker 1>takes it from the person that has it, whether it

0:35:49.880 --> 0:35:52.799
<v Speaker 1>be the manufacturer or the wholesaler, and sends it out

0:35:52.880 --> 0:35:56.920
<v Speaker 1>to through our implementation, all these various people, thousands of

0:35:56.920 --> 0:35:59.440
<v Speaker 1>them everywhere that are the actual buyers. It puts them

0:35:59.440 --> 0:36:02.440
<v Speaker 1>in touch. So you take something that's worthless and you

0:36:02.520 --> 0:36:05.560
<v Speaker 1>make it valuable. And so that's pretty good. Yeah, that's

0:36:05.560 --> 0:36:08.280
<v Speaker 1>pretty good. You did instantly instead of in weeks.

0:36:09.000 --> 0:36:10.200
<v Speaker 3>Here's what I want to understand.

0:36:10.320 --> 0:36:13.960
<v Speaker 4>We know you as the founder of Paul Mitchell and later,

0:36:14.400 --> 0:36:16.200
<v Speaker 4>if you don't mind me saying, you built a lot

0:36:16.200 --> 0:36:19.280
<v Speaker 4>of your wealth on the sale of Patron to the US.

0:36:19.239 --> 0:36:21.160
<v Speaker 1>Patron excellent Patron to Kuil.

0:36:21.280 --> 0:36:24.920
<v Speaker 3>How how did you end up in an AI company.

0:36:25.200 --> 0:36:28.000
<v Speaker 1>Well being into the environment and helping out what's best

0:36:28.040 --> 0:36:31.440
<v Speaker 1>I can industry with it. I got involved many years ago,

0:36:31.480 --> 0:36:34.160
<v Speaker 1>seven eight years ago with Renewed Logic. It was a

0:36:34.200 --> 0:36:36.480
<v Speaker 1>company that part of my family and dear friends put

0:36:36.520 --> 0:36:38.520
<v Speaker 1>together and I got involved with. And what it did

0:36:38.680 --> 0:36:41.080
<v Speaker 1>was it took things out of closets, out of warehouses,

0:36:41.400 --> 0:36:43.959
<v Speaker 1>things that were electronic things that for example, to start

0:36:43.960 --> 0:36:47.400
<v Speaker 1>with their telephones that had to be disassembled, the important

0:36:47.400 --> 0:36:50.200
<v Speaker 1>parts that could be reusable taken out and the rest

0:36:50.280 --> 0:36:54.080
<v Speaker 1>destroyed ecologically instead of hiding in a landfill or destroying

0:36:54.120 --> 0:36:56.200
<v Speaker 1>the earth. So I was already into it. The next

0:36:56.239 --> 0:36:58.080
<v Speaker 1>step would be, now, how do we take that to

0:36:58.120 --> 0:37:00.880
<v Speaker 1>the next step? How do we make it more shall

0:37:00.880 --> 0:37:04.560
<v Speaker 1>we say, valuable to some of our customers to actually

0:37:04.600 --> 0:37:06.120
<v Speaker 1>move their goods instantly.

0:37:06.480 --> 0:37:07.600
<v Speaker 3>And that's what we worked on.

0:37:07.960 --> 0:37:10.840
<v Speaker 1>I spent millions of dollars putting this together in the

0:37:10.920 --> 0:37:13.960
<v Speaker 1>AI with some of the greatest people. Gary for example,

0:37:14.040 --> 0:37:15.400
<v Speaker 1>is one of the best in the world. He's one

0:37:15.400 --> 0:37:17.200
<v Speaker 1>of the main guys that are there and one of

0:37:17.200 --> 0:37:20.080
<v Speaker 1>our partners. And Gary Stevens just a genius of what

0:37:20.160 --> 0:37:22.640
<v Speaker 1>he does. But anyway, so we took that in great

0:37:22.680 --> 0:37:24.640
<v Speaker 1>people and put it together and I thought, it's the

0:37:24.680 --> 0:37:27.120
<v Speaker 1>world needs us. The world needs to clean up the oceans,

0:37:27.320 --> 0:37:29.360
<v Speaker 1>we need to clean up the landfills. We need to

0:37:29.400 --> 0:37:32.320
<v Speaker 1>save using trucks where you don't have to, and using

0:37:32.400 --> 0:37:35.279
<v Speaker 1>people we don't have to repetitiously. So it makes a

0:37:35.360 --> 0:37:39.040
<v Speaker 1>business shorter, quicker, and much more valuable. And I'm all

0:37:39.080 --> 0:37:40.480
<v Speaker 1>about fewer moving parts.

0:37:40.680 --> 0:37:44.319
<v Speaker 2>Why do you think this hasn't been solved already? It's

0:37:44.360 --> 0:37:48.840
<v Speaker 2>not niche, It's just articulated the trillion of dollars of value.

0:37:49.360 --> 0:37:50.600
<v Speaker 2>Why hasn't someone done this?

0:37:51.680 --> 0:37:55.000
<v Speaker 1>Well, people have done it before, but in various segments.

0:37:55.320 --> 0:37:57.719
<v Speaker 1>What we do with our AI is we put it

0:37:57.760 --> 0:38:01.480
<v Speaker 1>all together. So instead of going to from the manufacturer

0:38:01.600 --> 0:38:04.600
<v Speaker 1>or the wholesaler to a middleman into a warehouse and

0:38:04.640 --> 0:38:06.640
<v Speaker 1>then to try and get it out to various customers

0:38:06.680 --> 0:38:09.000
<v Speaker 1>they can get out to. We go directly to the customer,

0:38:09.360 --> 0:38:11.800
<v Speaker 1>so we have that. No one's ever put that together before.

0:38:11.880 --> 0:38:14.600
<v Speaker 1>We do have that, and it affects many many industries,

0:38:14.640 --> 0:38:17.719
<v Speaker 1>and we're here even our competitors. It helps our competitors

0:38:17.760 --> 0:38:20.000
<v Speaker 1>out because it helps them move out things also a

0:38:20.040 --> 0:38:22.440
<v Speaker 1>lot quicker, and we're all working with them also, so

0:38:22.760 --> 0:38:25.640
<v Speaker 1>everybody wins. That's how America works, and America still works

0:38:25.680 --> 0:38:28.120
<v Speaker 1>by the way, America still works, and it's still the

0:38:28.200 --> 0:38:29.080
<v Speaker 1>land of opportunity.

0:38:29.200 --> 0:38:31.400
<v Speaker 2>We are an optimistic show today and we're loving it.

0:38:31.520 --> 0:38:34.759
<v Speaker 2>Jp From your perspective, who do you sign on? How

0:38:34.760 --> 0:38:37.640
<v Speaker 2>many kinds you already got in already on the platform,

0:38:37.680 --> 0:38:38.960
<v Speaker 2>because you're coming out of stealth.

0:38:39.960 --> 0:38:41.560
<v Speaker 1>I think the best way to do it is this.

0:38:41.840 --> 0:38:44.840
<v Speaker 1>We went from one person getting involved in taking orders

0:38:44.960 --> 0:38:46.760
<v Speaker 1>now and we're going to be at the big show

0:38:46.800 --> 0:38:48.879
<v Speaker 1>that's going on in Las Vegas as you know, this week,

0:38:48.920 --> 0:38:52.239
<v Speaker 1>I'm the keynote speaker there to seventeen people from one

0:38:52.280 --> 0:38:55.200
<v Speaker 1>to seventeen just to implement it. We have people standing

0:38:55.239 --> 0:38:56.839
<v Speaker 1>by for this right now. We have a few we've

0:38:56.840 --> 0:39:00.520
<v Speaker 1>already implemented, but there's quite a few I want to

0:39:00.560 --> 0:39:02.719
<v Speaker 1>say it'll end up once we're done with this show

0:39:02.800 --> 0:39:05.319
<v Speaker 1>of probably thousands, because nobody has this and it's an

0:39:05.360 --> 0:39:08.640
<v Speaker 1>answer to a big question and a big challenge that

0:39:08.800 --> 0:39:12.920
<v Speaker 1>manufacturers and retailers have had. Move it out and also

0:39:13.000 --> 0:39:15.759
<v Speaker 1>they get top value for their dollar. So instead of

0:39:15.800 --> 0:39:17.680
<v Speaker 1>having to discount it all the way down and maybe

0:39:17.680 --> 0:39:19.759
<v Speaker 1>they dn't make no money, just move it out right,

0:39:20.080 --> 0:39:22.200
<v Speaker 1>they actually get the top value out of it. The

0:39:22.200 --> 0:39:23.880
<v Speaker 1>way we do it, we eliminate the middleman.

0:39:24.400 --> 0:39:27.040
<v Speaker 2>Champaul dea Juria, it's been great having some time with you,

0:39:27.200 --> 0:39:30.719
<v Speaker 2>co founder men did it go, Got it, Love and

0:39:30.760 --> 0:39:34.759
<v Speaker 2>Happiness and to you, thank you. Meanwhile, got peace, Love

0:39:34.760 --> 0:39:36.600
<v Speaker 2>and happiness and the end of the edition of this

0:39:36.640 --> 0:39:40.520
<v Speaker 2>Bloomberg Technology. And it's been a broad ranging conversation. And

0:39:40.520 --> 0:39:42.279
<v Speaker 2>we're still looking at the companies that are set to

0:39:42.360 --> 0:39:43.760
<v Speaker 2>have earnings after the bell today.

0:39:44.600 --> 0:39:48.160
<v Speaker 4>Yeah, and there's some optimism going to some of those earnings,

0:39:48.160 --> 0:39:50.520
<v Speaker 4>and there is some lesson not optivism on others. Don't

0:39:50.520 --> 0:39:53.000
<v Speaker 4>forget recap the show on the podcast wherever you're getting

0:39:53.000 --> 0:39:56.040
<v Speaker 4>your podcast. We're posting on the Bloomberg platforms, but also Apple,

0:39:56.320 --> 0:39:59.600
<v Speaker 4>Spotify and iHeart, and we really appreciate everyone give us

0:39:59.600 --> 0:40:02.000
<v Speaker 4>a lot of feet back about the podcast carry, because

0:40:02.000 --> 0:40:04.520
<v Speaker 4>they might watch the show in that form, listening in

0:40:04.560 --> 0:40:06.800
<v Speaker 4>on their way to work from New York City and

0:40:06.840 --> 0:40:09.720
<v Speaker 4>San Francisco. This is me leaving you with a smile

0:40:10.080 --> 0:40:13.960
<v Speaker 4>and some optimism, and this is Bloomberg Technology.