WEBVTT - Rivian and VW's Partnership and Social Media Disinformation

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<v Speaker 1>We're from Marhart where Innovation, money and power Collie in

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<v Speaker 1>Silicon Vallet NBN.

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<v Speaker 2>This is Bloomberg Technology with Caroline Hyde and Ed Lovedlove.

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<v Speaker 3>I med Lodlow in San Francisco. Caroline hides at Bloomberg invest.

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<v Speaker 3>But this is Bloomberg Technology coming up. Full ev coverage

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<v Speaker 3>ahead as Rivian and VW forge a five billion dollar partnership.

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<v Speaker 3>Plus the Supreme Court clears the way for the White

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<v Speaker 3>House communicating freely with social media companies to seek the

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<v Speaker 3>removal of what officials see as misinformation. And we go

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<v Speaker 3>live to our Bloomberg invest summit, where heavyweights across the

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<v Speaker 3>financial industry break down the most pressing issues facing investors right.

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<v Speaker 4>Here, right now.

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<v Speaker 3>Let's get right to our story, and that is a

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<v Speaker 3>deal between Rivian Automotive and Volkswagen. The shares really taking

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<v Speaker 3>off in after hours. They were even higher on Tuesday night. Rivian,

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<v Speaker 3>as it stands, is trading at its highest level since February.

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<v Speaker 3>If it closes at this level, it will be the

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<v Speaker 3>biggest gain one day on record.

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<v Speaker 4>Although I'd caution.

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<v Speaker 3>Following the IPO in November twenty twenty one, we did

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<v Speaker 3>see swings in excess of fifty percent, and it did

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<v Speaker 3>not close near those levels. This is a company that

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<v Speaker 3>I've covered very closely for years. Have to be honest

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<v Speaker 3>that I didn't see this one coming. Basically, in the

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<v Speaker 3>first instance, Volkswagen will invest one billion dollars into Rivian

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<v Speaker 3>in the form of a convertible unsecured or unstructured note

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<v Speaker 3>due December one of this year, and then commits to

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<v Speaker 3>investing one billion dollars in twenty twenty five one billion

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<v Speaker 3>dollars in twenty twenty six, but we don't know where

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<v Speaker 3>this share price will be at that time. Of Rivian

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<v Speaker 3>right in return, they form a JV, but Volkswagen gets

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<v Speaker 3>access to Rivian's technology, both software and some elements of

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<v Speaker 3>the dry train or power train. This is a big

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<v Speaker 3>one for the EV industry. Let's get into detail with

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<v Speaker 3>Stephanie vauders Street. Stephanie is the director of Industry Insights

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<v Speaker 3>at Coxauto Motive, a quick disfamer. Cox Enterprise, which is

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<v Speaker 3>the parent company of Coxhau's Motive, is an investor in Rivian,

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<v Speaker 3>and Sandy Schwartz, CEO of the Cox Family Office, a

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<v Speaker 3>member of the Rivian board of directors. But we have

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<v Speaker 3>Stephanie here for her expertise on this company, these companies,

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<v Speaker 3>and expertise on this industry. So let's start with the

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<v Speaker 3>basic Stephanie, your reaction to this deal well, and I think.

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<v Speaker 5>You hit it when you said this was an unexpected

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<v Speaker 5>announcement and it's making ways for the industry, and I

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<v Speaker 5>think it's huge. It's a breakthrough moment for Rivian. As

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<v Speaker 5>you know, we've been following Rivian also, and although they've

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<v Speaker 5>made some really good progress in the market with their products,

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<v Speaker 5>with their customer experience, you know, being becoming profitable has

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<v Speaker 5>been a big issue, and so this investment is huge.

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<v Speaker 5>It's going to help them really become get on that

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<v Speaker 5>road to profitability, especially as they're trying to launch the

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<v Speaker 5>n R two, which is a very critical vehicle for

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<v Speaker 5>them in terms of affordability in the marketplace and kind

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<v Speaker 5>of in that segment where there's more volume. So I

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<v Speaker 5>think this is a huge moment and I think for

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<v Speaker 5>VW as well. Right having access to that cutting edge technology,

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<v Speaker 5>and I think the opportunities for a global expansion for

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<v Speaker 5>both companies is really really going to be a positive

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<v Speaker 5>for both.

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<v Speaker 3>When the news broke last night, I took a few

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<v Speaker 3>phone calls and What was so interesting is very quickly

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<v Speaker 3>a few folks close to Rivian and at Rivian and

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<v Speaker 3>elsewhere in the industry would point out to me Volkswagen's

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<v Speaker 3>software strategy has not gone that well. They kind of

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<v Speaker 3>formed carry AD, the unit and the carry AD platform.

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<v Speaker 3>I'm told they face some major issues. How much do

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<v Speaker 3>you think this is sort of Volkswagen reacting to that

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<v Speaker 3>versus actually pretty much an acknowledgment that Rivian is good

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<v Speaker 3>at software.

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<v Speaker 5>Yeah, I think it's I think it's both what Volkswagen's

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<v Speaker 5>you know, acknowledging that Rivine has his cutting into technology

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<v Speaker 5>is going to really help them to scale. And I

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<v Speaker 5>even think about broader, like if you think about the

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<v Speaker 5>Chinese outmakers and just kind of with the penetration that

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<v Speaker 5>they've had and the technology that they've had. So I

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<v Speaker 5>think this is going to really help VW not only

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<v Speaker 5>in the North American market, but globally as well. So

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<v Speaker 5>I think they really saw that this is something that's

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<v Speaker 5>really going to help their brand and really scale, help

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<v Speaker 5>them scale faster and more efficiently.

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<v Speaker 3>I have to be honest with you, Stephanie, Rivian's track

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<v Speaker 3>record in joint ventures is not good. You know, I've

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<v Speaker 3>been covering this company since the moment that RJA was

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<v Speaker 3>on stage at the LA Auto Show and revealed to

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<v Speaker 3>the world that he had to pick up an suv.

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<v Speaker 3>And within you know, three or four years after that,

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<v Speaker 3>the Ford JV had been and gone. Ford invested five

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<v Speaker 3>hundred million in Rivian and then they plan to build

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<v Speaker 3>a Lincoln together. They scrapped it. They plan to build

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<v Speaker 3>a joint venture EV together, they scrapped it. The Mercedes

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<v Speaker 3>relationship on commercial vans lasted three months. How much of

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<v Speaker 3>a cautionarytail is that for Volkswagen.

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<v Speaker 2>No.

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<v Speaker 5>I definitely think they need to be cautious, especially in

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<v Speaker 5>it's two distinct companies, right, and they need to constantly

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<v Speaker 5>make sure that their strategic goals are aligned. So I

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<v Speaker 5>think to your point, it's going to be you know,

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<v Speaker 5>it's going to be a long bumpy road, but I

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<v Speaker 5>think they're going to have to be very focused on

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<v Speaker 5>making sure they're aligned and kind of what you just

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<v Speaker 5>mentioned about some of the failures in the past. So

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<v Speaker 5>I think it's definitely something a risk, right that they

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<v Speaker 5>need to clo closely follow and make sure that they're aligned.

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<v Speaker 3>You and I spoke very recently about market share, so

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<v Speaker 3>Rivian is going to come to market in twenty twenty

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<v Speaker 3>six with R two and that probably will be a

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<v Speaker 3>competitor for existing models like the Model Why. But at

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<v Speaker 3>the same time, Tesla is seeding some market share in

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<v Speaker 3>North America and other markets, there's more models join the market.

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<v Speaker 3>How are you tracking that and how do you see

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<v Speaker 3>that going?

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<v Speaker 5>Yeah, I definitely see like all about product right, customers

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<v Speaker 5>like new product, and with Rivian having the R two

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<v Speaker 5>R three adding more vehicles into the marketplace, I think

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<v Speaker 5>that's going to really in terms of like Tesla not

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<v Speaker 5>having anything other than recently the cyber truck and no

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<v Speaker 5>definitive timeline for the more vehicle, I think Tesla definitely

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<v Speaker 5>has more and more competition, and not only with Rivi

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<v Speaker 5>and VW but other makes as well. So I definitely

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<v Speaker 5>think Tesla is really going to need to get some

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<v Speaker 5>product into the market to maintain that share that they've

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<v Speaker 5>had for many, many years.

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<v Speaker 3>I've got a stat for you for the twelve months

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<v Speaker 3>through May, Tesla sold six hundred and eighteen thousand electric

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<v Speaker 3>vehicles in the United States. All of the other manufacturers

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<v Speaker 3>combined sold ABV five hundred and ninety seven thousand, so

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<v Speaker 3>at some point, I.

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<v Speaker 4>Think we expect that to cross, right.

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<v Speaker 3>But the question it raises is one that Scarringe has

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<v Speaker 3>argued with me about over many years. He says that

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<v Speaker 3>this isn't an issue of interest rates or necessarily or

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<v Speaker 3>tepid consumer appetite towards EBS. Generally, he argues, we need

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<v Speaker 3>more models. The more models we have on the market,

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<v Speaker 3>the better the market will be.

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<v Speaker 4>Do you share that thesis?

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<v Speaker 5>Yeah, I think we need more models, but more affordable markets. Right,

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<v Speaker 5>if we want mass adoption, we need to have more

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<v Speaker 5>affordable models. Price is the top barrier for consumer adoption,

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<v Speaker 5>and so as we have more and more affordable markets

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<v Speaker 5>our models in the marketplace, that's going to help with adoption.

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<v Speaker 5>So I think I agree with that more models, but

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<v Speaker 5>more affordable models is going to be critical.

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<v Speaker 3>Cost your eye to the future. What happens with Ribby

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<v Speaker 3>and Stephanie.

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<v Speaker 5>I'm betting on them. I think they have a lot

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<v Speaker 5>of good brand equity in the marketplace. I think the

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<v Speaker 5>VW partnership is really a lot of great potential, and

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<v Speaker 5>I think their collaboration can really evolve this whole connected up,

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<v Speaker 5>devined vehicle technology, and so I think I think it's promising,

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<v Speaker 5>but like being just mentioned, I think they just need

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<v Speaker 5>to be careful that their strategic goals are aligned in

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<v Speaker 5>their lockstep in.

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<v Speaker 3>True definitely about as Stephanie, about as Stretty of cocksurces motive.

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<v Speaker 3>I just appreciate your insight, not just to Rivian VW,

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<v Speaker 3>which I think caught us by surprise, but the industry

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<v Speaker 3>at large as well.

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<v Speaker 4>Thank you so much.

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<v Speaker 3>Okay, let's turn to some breaking news that's come out

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<v Speaker 3>in the last hour. The Supreme Court cleared the Biden

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<v Speaker 3>administration to communicate freely with social media companies in an

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<v Speaker 3>election year, which rules that bolsters the government's ability to

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<v Speaker 3>seek removal of what official seat is misinformation. I want

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<v Speaker 3>to bring in Bloombergs Katie Lions out of Washington, DC. Kaylee,

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<v Speaker 3>you know I saw the headline cross and I've just

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<v Speaker 3>read the interest to you, and I'm trying to understand

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<v Speaker 3>the mechanics and bigger picture of this story.

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<v Speaker 4>Explain it to me, Well, technically.

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<v Speaker 6>This is a win for the White House. You're exactly why,

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<v Speaker 6>and that it leaves the door open for them to

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<v Speaker 6>communicate freely with social media companies about content that they

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<v Speaker 6>see as misinformation that could potentially be harmful to the public.

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<v Speaker 6>This case all started with questions around the administration's activity

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<v Speaker 6>with social media companies and trying to control information related

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<v Speaker 6>to the COVID nineteen pandemic and the twenty twenty election,

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<v Speaker 6>and the plaintiffs in this case essentially argued that they

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<v Speaker 6>overstepped the constitutional bounds of the right to free speech.

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<v Speaker 6>The thing is, in this ruling, which was six to three,

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<v Speaker 6>the majority opinion, written by Justice Amy Coney Barrett, doesn't

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<v Speaker 6>actually talk about the merits of the case. It's about standing.

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<v Speaker 6>They essentially argue that the plaintiffs, which included two states

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<v Speaker 6>and a handful of residents within those states, did not

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<v Speaker 6>have the standing to be bringing this case because they

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<v Speaker 6>couldn't demonstrate that they were directly injured by the defendants, which,

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<v Speaker 6>of course, in this case is is the Biden administration.

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<v Speaker 6>So this is kind of similar to the myth ofpristone

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<v Speaker 6>ruling we got earlier this month, where they didn't actually

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<v Speaker 6>decide necessarily definitively on access to that abortion pill. It

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<v Speaker 6>was just that the individuals, the people that brought the case,

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<v Speaker 6>did not have standing, which is why they ruled in

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<v Speaker 6>favor of keeping access to it, so it leaves the

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<v Speaker 6>door open ed for this question to still be raised

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<v Speaker 6>again in the future, technically by plaintiffs who may have

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<v Speaker 6>more firm ground to stand on.

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<v Speaker 3>There's an interesting case of what happens next because per

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<v Speaker 3>the ruling, you know, the administration could go out and

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<v Speaker 3>engage with the companies and talk to them freely. That

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<v Speaker 3>is the top line of the story. Whether they do

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<v Speaker 3>or not remains to be seen, because in October there

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<v Speaker 3>was a temporary holp per the courts, and as we

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<v Speaker 3>keep going out it is an election year, what does

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<v Speaker 3>Biden and co.

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<v Speaker 7>Do?

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<v Speaker 6>It's an excellent question ed, and we're just going to

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<v Speaker 6>have to wait and see, because of course all of

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<v Speaker 6>this is going to be viewed through a political lens.

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<v Speaker 6>There is a huge conservative thought in which the three

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<v Speaker 6>ultra conservative justices who dissented in this decision, Thomas Alito

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<v Speaker 6>and Neil Gorsich that do think the administration may be

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<v Speaker 6>violating the race of free speech, specifically restricting the speech

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<v Speaker 6>of the right and of more conservatives. And this is

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<v Speaker 6>something that we see trickling through all all through American

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<v Speaker 6>politics at this time, all the way up to the

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<v Speaker 6>presumptive Republican nominee Donald Trump. So these decisions for the

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<v Speaker 6>administration to be engaging with social media companies on what

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<v Speaker 6>content can be propagated and seen by the people is

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<v Speaker 6>very much politically tingent. I would just note ed it

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<v Speaker 6>isn't just about what the administration does, but what social

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<v Speaker 6>media companies themselves do. And I would point you to

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<v Speaker 6>the fact that we are still waiting and ruling this

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<v Speaker 6>term from the Supreme Court, so it should come within

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<v Speaker 6>the next several days on laws in the states of

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<v Speaker 6>Texas and Florida that restrict the ability of the social

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<v Speaker 6>media companies themselves to police misinformation in the Court has

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<v Speaker 6>yet to rule on that particular question.

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<v Speaker 3>Bloombo's Katie Lyons, co host of Balance of Power, I

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<v Speaker 3>watch Balance of Power and our Bloomberg Technology audience should

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<v Speaker 3>as well.

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<v Speaker 4>Thank you so much. Kay. Coming up on this show,

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<v Speaker 4>we're going to be joined.

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<v Speaker 3>By Jack Maller's CEO Strike to discuss the launch of

0:11:49.960 --> 0:11:54.439
<v Speaker 3>the global Bitcoin app in my home country, the United Kingdom.

0:11:54.800 --> 0:11:56.960
<v Speaker 3>I'm also taking a look at shares of guess what

0:11:57.600 --> 0:12:01.040
<v Speaker 3>in Nvidia actually softer again down too point seven percent.

0:12:01.600 --> 0:12:04.000
<v Speaker 3>Let's call it a rollercoaster ride. We were down three

0:12:04.120 --> 0:12:09.160
<v Speaker 3>days straight with a technical correction. We rebounded and now

0:12:09.200 --> 0:12:11.840
<v Speaker 3>we're down again two point five percent. There is the

0:12:11.880 --> 0:12:16.600
<v Speaker 3>Annual General Meeting taking place straight after this program. Usually

0:12:16.640 --> 0:12:20.560
<v Speaker 3>it's not a news event. Usually it's not that closely followed.

0:12:20.600 --> 0:12:23.400
<v Speaker 3>But I wonder if this time it may well be.

0:12:23.480 --> 0:12:25.240
<v Speaker 3>I'll be on hand, and so will Bloomberg Zy and

0:12:25.320 --> 0:12:39.640
<v Speaker 3>King be right back. This is Bloomberg Technology. Okay, time

0:12:39.679 --> 0:12:43.320
<v Speaker 3>for talking tech and first st up CME readies for trading.

0:12:43.280 --> 0:12:44.040
<v Speaker 4>Via the cloud.

0:12:44.280 --> 0:12:46.920
<v Speaker 3>Google will work with the exchange operator to build out

0:12:46.920 --> 0:12:50.000
<v Speaker 3>a new network that would move futures and options trading

0:12:50.240 --> 0:12:53.280
<v Speaker 3>to the cloud. The two firms will develop new facilities

0:12:53.360 --> 0:12:57.200
<v Speaker 3>next to CMEs existing data centers, with construction due to

0:12:57.240 --> 0:13:02.760
<v Speaker 3>start later this year. Plus Bank's AI ambition start with healthcare.

0:13:02.840 --> 0:13:06.040
<v Speaker 3>Founder Massaoshi's son is set to host a panel with

0:13:06.240 --> 0:13:10.000
<v Speaker 3>doctors and medical professionals on way to harness AI for

0:13:10.160 --> 0:13:13.480
<v Speaker 3>the health sector. One company he's expected to bring up

0:13:13.679 --> 0:13:16.760
<v Speaker 3>is tempers Ai, a US startup that's backed by some

0:13:16.840 --> 0:13:21.240
<v Speaker 3>of a soft bank that analyzes medical data. And South

0:13:21.320 --> 0:13:24.160
<v Speaker 3>Korean chipmakers are about to get a financial boost. The

0:13:24.160 --> 0:13:27.640
<v Speaker 3>country is going to inject nineteen billion dollars in support

0:13:27.760 --> 0:13:28.600
<v Speaker 3>to build out.

0:13:28.440 --> 0:13:29.720
<v Speaker 4>The semiconductor industry.

0:13:29.760 --> 0:13:33.120
<v Speaker 3>Starting in July, eligible firms could tap the program at

0:13:33.120 --> 0:13:36.400
<v Speaker 3>the market's lowest rates. This comes as countries worldwide and

0:13:36.520 --> 0:13:40.880
<v Speaker 3>moving to make chips locally due to global supply chain concerns.

0:13:41.400 --> 0:13:42.960
<v Speaker 3>Those are some of the news stories we're following. I

0:13:42.960 --> 0:13:45.480
<v Speaker 3>want to get to the world of crypto. The global

0:13:45.520 --> 0:13:50.160
<v Speaker 3>bitcoin app Strike has now launched in the United Kingdom.

0:13:50.200 --> 0:13:53.600
<v Speaker 3>Delighted to say that Strike CEO Jack Mallers joins us

0:13:53.600 --> 0:13:56.359
<v Speaker 3>now here on Bloomberg Technology. I found this so interesting

0:13:57.720 --> 0:13:59.959
<v Speaker 3>without boring you with it. You know, I moved to

0:14:00.120 --> 0:14:02.880
<v Speaker 3>America six years ago, but at that time when I

0:14:02.920 --> 0:14:07.160
<v Speaker 3>was covering technology, London in particular, I would say, and

0:14:07.240 --> 0:14:10.160
<v Speaker 3>the consumer base was much more focus on fintech and

0:14:10.240 --> 0:14:14.840
<v Speaker 3>crypto than perhaps other areas of technology. Six years on,

0:14:14.960 --> 0:14:16.800
<v Speaker 3>you guys have made the move to that market.

0:14:16.840 --> 0:14:17.040
<v Speaker 4>Why.

0:14:19.160 --> 0:14:22.280
<v Speaker 7>I think, simply put, we view bitcoin as a paradigm shift.

0:14:22.520 --> 0:14:25.720
<v Speaker 7>I think bitcoin is the first time humans have come

0:14:25.760 --> 0:14:28.880
<v Speaker 7>across perfect money as we know it, and the world

0:14:28.920 --> 0:14:32.040
<v Speaker 7>needs a global bitcoin company that's going to help them

0:14:32.080 --> 0:14:35.320
<v Speaker 7>and provide them the financial services to adopt it. And

0:14:35.360 --> 0:14:38.400
<v Speaker 7>so I think we are the most accessible, global and

0:14:38.560 --> 0:14:42.280
<v Speaker 7>most performant bitcoin business in the world, like compared to

0:14:42.320 --> 0:14:45.280
<v Speaker 7>a coinbase. We don't focus on a thousand other cryptos

0:14:45.320 --> 0:14:47.720
<v Speaker 7>and our own blockchains and stuff. We just make sure

0:14:47.720 --> 0:14:50.120
<v Speaker 7>that people have an amazing experience adopting the best money

0:14:50.120 --> 0:14:52.360
<v Speaker 7>of all time. So that's why the people in the

0:14:52.480 --> 0:14:53.440
<v Speaker 7>UK need bitcoin.

0:14:53.520 --> 0:14:56.560
<v Speaker 3>Brother come on, well, well, Jack, I find that interesting though.

0:14:56.560 --> 0:14:58.960
<v Speaker 3>So if you think about Strike as a platform or

0:14:59.000 --> 0:15:02.160
<v Speaker 3>an app, what you will You can do several things, right,

0:15:02.160 --> 0:15:04.960
<v Speaker 3>You can buy and sell bitcoin, you can make lightning payments,

0:15:05.120 --> 0:15:09.200
<v Speaker 3>there's other functionality. But is there a specific use case

0:15:09.240 --> 0:15:12.400
<v Speaker 3>that you think people of the United Kingdom will use most?

0:15:12.440 --> 0:15:14.600
<v Speaker 3>In other words, was there a clear demand for a

0:15:14.640 --> 0:15:17.280
<v Speaker 3>specific function Yeah?

0:15:17.320 --> 0:15:20.200
<v Speaker 7>Well, I think bitcoin's the best performance asset in the

0:15:20.240 --> 0:15:23.880
<v Speaker 7>history of our species, and so people want the best experience.

0:15:24.000 --> 0:15:26.240
<v Speaker 7>That's kind of our baseline and we've become that and

0:15:26.280 --> 0:15:28.400
<v Speaker 7>that's why we've been on such a tear expanding globally

0:15:28.400 --> 0:15:30.240
<v Speaker 7>as everyone wants our product.

0:15:30.520 --> 0:15:31.840
<v Speaker 4>I think that where we.

0:15:31.760 --> 0:15:35.040
<v Speaker 7>Are in this market cycle, given the geopolitical backdrop and

0:15:35.080 --> 0:15:37.840
<v Speaker 7>the macroeconomics and this upcoming election, is people need to

0:15:37.840 --> 0:15:39.840
<v Speaker 7>buy it. There's gonna be a lot of new capital

0:15:39.880 --> 0:15:41.560
<v Speaker 7>that is going to come into this asset class.

0:15:41.560 --> 0:15:42.440
<v Speaker 4>It's my prediction.

0:15:42.480 --> 0:15:44.440
<v Speaker 7>I've told you I think bitcoin's going to land somewhere

0:15:44.440 --> 0:15:46.640
<v Speaker 7>between two hundred and fifty thousand to a million dollars

0:15:46.640 --> 0:15:50.480
<v Speaker 7>per coin over the next twelve months or so. And

0:15:50.560 --> 0:15:53.040
<v Speaker 7>so that is the highest volume product we have is

0:15:53.040 --> 0:15:55.000
<v Speaker 7>people that call us and say, I need this thing?

0:15:55.080 --> 0:15:55.640
<v Speaker 4>Can you help?

0:15:57.240 --> 0:16:00.400
<v Speaker 3>One of the headwinds or challenges what you've hauted lined

0:16:00.400 --> 0:16:02.640
<v Speaker 3>and yes you've outlined it before on the kind of

0:16:02.680 --> 0:16:07.160
<v Speaker 3>direction of travel bitcoin is regulation and oversight. You know,

0:16:07.400 --> 0:16:10.160
<v Speaker 3>we're focused on the UK. It's just one market in

0:16:09.960 --> 0:16:12.560
<v Speaker 3>the one hundred or so you operate in. But what

0:16:12.640 --> 0:16:15.880
<v Speaker 3>was that experience like launching in the UK having to

0:16:15.960 --> 0:16:20.720
<v Speaker 3>work with post Brexit regulators who, as we've discussed a

0:16:20.760 --> 0:16:24.520
<v Speaker 3>lot on this Showjack, they have tried to be strong right,

0:16:24.800 --> 0:16:27.960
<v Speaker 3>particularly on newer areas of markets or nascent technology.

0:16:28.960 --> 0:16:31.480
<v Speaker 7>You know what, Ed listen, I think that there's everyone

0:16:31.480 --> 0:16:33.800
<v Speaker 7>can agree, both regulators and us. There's a lot of

0:16:33.840 --> 0:16:36.960
<v Speaker 7>work to do on education, and there's definitely efficiencies and

0:16:37.000 --> 0:16:39.280
<v Speaker 7>progress we can all make. But the fact that we're

0:16:39.320 --> 0:16:43.120
<v Speaker 7>bitcoin only, I can say, was huge. No one is

0:16:43.160 --> 0:16:45.680
<v Speaker 7>diligencing the fact that we're creating our own tokens. If

0:16:45.680 --> 0:16:49.480
<v Speaker 7>something is a security, if I'm acting unethically, I build

0:16:49.640 --> 0:16:52.560
<v Speaker 7>and sell the most honest performance money in the history

0:16:52.560 --> 0:16:54.600
<v Speaker 7>of our species. And it's a very simple business. It's

0:16:54.600 --> 0:16:57.400
<v Speaker 7>a very honest business. It's a very moral and integral business.

0:16:57.600 --> 0:17:01.160
<v Speaker 7>And so it's been rather simple. While other businesses are

0:17:01.160 --> 0:17:04.480
<v Speaker 7>retracting from markets and getting sued by regulators, we're not.

0:17:05.400 --> 0:17:06.760
<v Speaker 7>And I think it has a lot to do with

0:17:06.800 --> 0:17:09.439
<v Speaker 7>the fact that we're built on principle and I founded

0:17:09.440 --> 0:17:11.119
<v Speaker 7>this business because I think bitcoin's going to change the

0:17:11.119 --> 0:17:14.360
<v Speaker 7>world and I want to help. And so with that context,

0:17:14.920 --> 0:17:17.119
<v Speaker 7>it was fine. It was fine, and we're pleased with

0:17:17.119 --> 0:17:17.560
<v Speaker 7>the launch.

0:17:19.040 --> 0:17:21.800
<v Speaker 3>Jack really quickly. We never really talk about Strike as

0:17:21.800 --> 0:17:24.320
<v Speaker 3>a company. Are you going to be employing people in

0:17:24.359 --> 0:17:26.760
<v Speaker 3>the UK? Have you've grown your staffing there? Have you

0:17:26.760 --> 0:17:28.639
<v Speaker 3>got yourself a nice office? What does it look like?

0:17:29.680 --> 0:17:31.040
<v Speaker 4>Yes, we will.

0:17:31.359 --> 0:17:35.359
<v Speaker 7>Strike's growing a lot. We though, take this approach where

0:17:35.400 --> 0:17:37.600
<v Speaker 7>we have two businesses. We have our operating company and

0:17:37.600 --> 0:17:40.000
<v Speaker 7>then we have our treasury business, and we buy as

0:17:40.080 --> 0:17:43.040
<v Speaker 7>much bitcoin as we possibly can. So Strikes a profitable,

0:17:43.080 --> 0:17:46.320
<v Speaker 7>growing business and we sweep those profits into bitcoin over

0:17:46.520 --> 0:17:50.000
<v Speaker 7>ninety percent of our treasury is actually in bitcoin, so

0:17:50.359 --> 0:17:53.560
<v Speaker 7>the cost of capital is against bitcoin, so we only

0:17:53.720 --> 0:17:56.960
<v Speaker 7>deploy capital and the things that we think can outcompete bitcoin,

0:17:57.160 --> 0:17:59.840
<v Speaker 7>which is at an annualized average of sixty three percent

0:17:59.840 --> 0:18:02.600
<v Speaker 7>of the last ten years. So we're delicate with how

0:18:02.640 --> 0:18:04.800
<v Speaker 7>we invest. But of course I mean Strokes and Monster

0:18:05.560 --> 0:18:07.199
<v Speaker 7>and we're going to keep porn capital and do it

0:18:07.240 --> 0:18:10.240
<v Speaker 7>as long as people keep medcoining us strike.

0:18:10.320 --> 0:18:12.919
<v Speaker 3>CEO Jack Mallards appreciate your time as always, Thank you

0:18:12.960 --> 0:18:25.600
<v Speaker 3>so much time now for our weekly AI in Action segment,

0:18:25.640 --> 0:18:27.879
<v Speaker 3>and today we're looking at the field of legal AI.

0:18:28.119 --> 0:18:32.520
<v Speaker 3>Robin Ai works to enhance efficiency by automating much of

0:18:32.560 --> 0:18:35.840
<v Speaker 3>the due diligence process that's involved in M and A.

0:18:35.960 --> 0:18:39.159
<v Speaker 3>The company also announced their new product line, robin Ai

0:18:39.320 --> 0:18:40.639
<v Speaker 3>Reports this month.

0:18:41.000 --> 0:18:41.440
<v Speaker 4>Delighted.

0:18:41.560 --> 0:18:44.520
<v Speaker 3>Welcome back to the program, CEO Richard Robinson.

0:18:45.000 --> 0:18:46.480
<v Speaker 4>I think you and i've discussed this in the past.

0:18:46.480 --> 0:18:48.720
<v Speaker 3>Like I am a student of the law, went to

0:18:48.800 --> 0:18:52.480
<v Speaker 3>law school, family of attorneys, and thank goodness I didn't

0:18:52.480 --> 0:18:56.919
<v Speaker 3>become one, but I get the point of robin Ai.

0:18:57.200 --> 0:18:59.920
<v Speaker 3>Let's start with the new product line, the Reports l

0:19:00.520 --> 0:19:02.160
<v Speaker 3>What is it and why did you feel the need

0:19:02.200 --> 0:19:03.399
<v Speaker 3>to bring it out.

0:19:03.560 --> 0:19:04.040
<v Speaker 2>Yeah. Sure.

0:19:04.359 --> 0:19:06.600
<v Speaker 8>When I was a lawyer, one of the most painful

0:19:06.640 --> 0:19:08.960
<v Speaker 8>things I ever had to do is something most lawyers

0:19:08.960 --> 0:19:13.000
<v Speaker 8>spend their time doing is working through hundreds and hundreds

0:19:13.000 --> 0:19:16.760
<v Speaker 8>of contracts trying to summarize those agreements.

0:19:16.160 --> 0:19:16.960
<v Speaker 2>For our clients.

0:19:17.560 --> 0:19:20.240
<v Speaker 8>People want to know what's inside all of these documents

0:19:20.280 --> 0:19:23.760
<v Speaker 8>before they do a transaction, and unfortunately in the past,

0:19:23.800 --> 0:19:26.040
<v Speaker 8>we've just never had technology to help us, and so

0:19:26.440 --> 0:19:30.439
<v Speaker 8>we employ armies of associates through the night, week in,

0:19:30.640 --> 0:19:34.440
<v Speaker 8>week out to basically go through these documents line by

0:19:34.520 --> 0:19:38.000
<v Speaker 8>line looking for risks that they can report. And so

0:19:38.359 --> 0:19:41.160
<v Speaker 8>we said, why can't we build something that uses AI

0:19:41.720 --> 0:19:44.199
<v Speaker 8>to do that for us? That's essentially what our reports

0:19:44.200 --> 0:19:44.800
<v Speaker 8>product does.

0:19:45.760 --> 0:19:53.119
<v Speaker 3>The field of legal AI is widely discussed. We recognize

0:19:53.160 --> 0:19:56.600
<v Speaker 3>a two horse race. Basically, you have an association with Anthropic.

0:19:57.240 --> 0:19:59.679
<v Speaker 3>There is another legal AI named Harvey. We've had on

0:19:59.720 --> 0:20:03.000
<v Speaker 3>this closely aligned to open Ai. In fact, I think

0:20:03.040 --> 0:20:06.920
<v Speaker 3>open ai made it an equity investment in them.

0:20:07.040 --> 0:20:08.879
<v Speaker 4>You're going to win that race, of course.

0:20:09.280 --> 0:20:12.920
<v Speaker 8>I mean we are legal AI for business and Harvey

0:20:12.960 --> 0:20:16.000
<v Speaker 8>and open ai are really focused on law firms, and

0:20:16.080 --> 0:20:19.359
<v Speaker 8>we think that's interesting but what motivates us is trying

0:20:19.359 --> 0:20:23.800
<v Speaker 8>to help companies like Bloomberg, like General Electric, like PwC,

0:20:24.400 --> 0:20:29.200
<v Speaker 8>helping them do their work faster, unleashing them to grow

0:20:29.280 --> 0:20:31.800
<v Speaker 8>in ways that they can't today because in the absence

0:20:31.840 --> 0:20:35.840
<v Speaker 8>of the right technology, managing legal risks is just time consuming.

0:20:35.880 --> 0:20:38.720
<v Speaker 8>It's expensive. But if you use tools like ours, we

0:20:38.840 --> 0:20:40.880
<v Speaker 8>have customers saving ninety.

0:20:40.600 --> 0:20:41.480
<v Speaker 4>Percent at the time.

0:20:41.880 --> 0:20:43.720
<v Speaker 3>Could I have some data, then, how many M and

0:20:43.760 --> 0:20:47.400
<v Speaker 3>A transactions has robin Ai facilitated for example?

0:20:47.720 --> 0:20:50.080
<v Speaker 8>Yeah, I mean we've been involved. It's worth saying we've

0:20:50.080 --> 0:20:52.320
<v Speaker 8>been doing this for nearly five years now. I mean

0:20:52.359 --> 0:20:55.119
<v Speaker 8>we support M and A transactions. We've fort about one

0:20:55.119 --> 0:20:58.840
<v Speaker 8>thousand transactions a month already for some of the world's

0:20:58.840 --> 0:21:02.000
<v Speaker 8>biggest companies, for five of the Fortune five hundred, for

0:21:02.320 --> 0:21:04.800
<v Speaker 8>seven of the top one hundred funds.

0:21:04.440 --> 0:21:05.040
<v Speaker 1>In the world.

0:21:05.680 --> 0:21:10.040
<v Speaker 8>We've been really working with business since twenty nineteen, long

0:21:10.080 --> 0:21:13.760
<v Speaker 8>before LMS, to help them use AI to accelerate deals,

0:21:14.440 --> 0:21:17.600
<v Speaker 8>and working with Anthropic has just helped us expand our

0:21:17.640 --> 0:21:18.520
<v Speaker 8>reach and focus.

0:21:20.000 --> 0:21:22.919
<v Speaker 3>Robin Ai CEO, Richard Robinson, it's great to have you

0:21:22.960 --> 0:21:25.440
<v Speaker 3>back on the program and keeping us up to date.

0:21:25.480 --> 0:21:26.600
<v Speaker 4>Thank you so much coming up.

0:21:27.040 --> 0:21:29.280
<v Speaker 3>Mike Run's out with earnings later today, and we have

0:21:29.320 --> 0:21:31.639
<v Speaker 3>all the details on what to expect next, plus getting

0:21:31.640 --> 0:21:34.680
<v Speaker 3>a bit hands on with some of the tech. We're

0:21:34.720 --> 0:21:37.760
<v Speaker 3>also looking at shares of Paramount, a headline out this

0:21:37.840 --> 0:21:44.240
<v Speaker 3>morning discussion about Paramount looking at global options global partnerships

0:21:44.520 --> 0:21:47.920
<v Speaker 3>for streaming services. The saga continues about the future of Paramount,

0:21:47.960 --> 0:21:51.520
<v Speaker 3>its assets, ownership and what happens. But for now, the

0:21:51.560 --> 0:21:53.520
<v Speaker 3>stock's down one point three percent in the session.

0:21:53.560 --> 0:21:54.119
<v Speaker 4>It's a story.

0:21:54.160 --> 0:21:57.160
<v Speaker 3>I'm sure we'll continue to track in the next few

0:21:57.200 --> 0:21:59.600
<v Speaker 3>weeks because from an m and A perspective, or even

0:21:59.600 --> 0:22:01.720
<v Speaker 3>just a street of perspective, is something that I know

0:22:01.800 --> 0:22:02.960
<v Speaker 3>audience really cares about.

0:22:03.280 --> 0:22:04.960
<v Speaker 4>Stay with us a lot more to come on the show.

0:22:05.000 --> 0:22:05.680
<v Speaker 4>This is Bloomberg.

0:22:17.160 --> 0:22:20.000
<v Speaker 3>We got hands on with Nvidia's AI accelerator, the H

0:22:20.040 --> 0:22:21.200
<v Speaker 3>one hundred, but this.

0:22:21.119 --> 0:22:23.120
<v Speaker 4>Little one is pretty important too.

0:22:23.520 --> 0:22:27.359
<v Speaker 3>It's Micron's HBM three E, the high bandwidth memory chip

0:22:27.480 --> 0:22:30.639
<v Speaker 3>used to power AI workloads. The text revolutionary for the

0:22:30.640 --> 0:22:34.320
<v Speaker 3>industry because it allows for high speed data transfers and

0:22:34.400 --> 0:22:38.639
<v Speaker 3>more capacity, both bottlenecks in developing AI. Producing the chips

0:22:38.680 --> 0:22:41.959
<v Speaker 3>is complex, but the payoff is great for Micron, Samsung,

0:22:42.200 --> 0:22:45.080
<v Speaker 3>and other players. The Micron chip's smaller and thinner than

0:22:45.119 --> 0:22:49.040
<v Speaker 3>a penny. It's key to training lllms for generative AI. Basically,

0:22:49.240 --> 0:22:51.800
<v Speaker 3>the more data you can serve up more quickly, the

0:22:51.880 --> 0:22:54.760
<v Speaker 3>better the model gets. There are eight layers of DRAM

0:22:54.920 --> 0:22:57.520
<v Speaker 3>or memory, stacked on top of each other. Each layer

0:22:57.600 --> 0:23:01.320
<v Speaker 3>is three gigabytes, so together you get twenty four gigabytes.

0:23:01.400 --> 0:23:04.879
<v Speaker 3>The reason that Micron's HBM three or high Bowandwidth memory

0:23:04.960 --> 0:23:07.960
<v Speaker 3>is important is that in the AI context, it solves

0:23:07.960 --> 0:23:10.080
<v Speaker 3>for a problem called the memory wall.

0:23:10.280 --> 0:23:11.880
<v Speaker 4>To train the lms.

0:23:11.440 --> 0:23:14.040
<v Speaker 3>Behind chat GPT, for example, you need to be able

0:23:14.040 --> 0:23:16.480
<v Speaker 3>to process a large amount of data very quickly.

0:23:16.560 --> 0:23:18.119
<v Speaker 4>As AI workloads.

0:23:17.640 --> 0:23:21.240
<v Speaker 3>Increase and in Vidia releases new higher performance AI chips

0:23:21.320 --> 0:23:25.480
<v Speaker 3>like Blackwell, the memory demands also increase. This year, Micron

0:23:25.520 --> 0:23:28.879
<v Speaker 3>also released a higher capacity chip that stacks twelve layers

0:23:28.880 --> 0:23:31.520
<v Speaker 3>of d rams, so thirty six gigabytes of memory. The

0:23:31.520 --> 0:23:35.040
<v Speaker 3>two look identical when placed side by side. Each layer

0:23:35.080 --> 0:23:38.280
<v Speaker 3>is made thinner to provide more memory without taking up

0:23:38.280 --> 0:23:42.720
<v Speaker 3>more physical space. The next in our series of getting

0:23:42.760 --> 0:23:45.639
<v Speaker 3>hands on with semiconductors, a quick look at Micron shares

0:23:45.920 --> 0:23:49.399
<v Speaker 3>softer be half a percentage point. Micron is scheduled to

0:23:49.680 --> 0:23:52.760
<v Speaker 3>release its third quarter results after the market closes today,

0:23:53.119 --> 0:23:55.439
<v Speaker 3>and a big focus on like, when's the AI story

0:23:55.520 --> 0:23:58.800
<v Speaker 3>going to hit in top line growth here with expectations

0:23:58.840 --> 0:24:02.280
<v Speaker 3>is Bloomberg Intelligence and Jake Silverman, you know, we focus

0:24:02.440 --> 0:24:05.320
<v Speaker 3>HBM three or high bandwidth memory, but that's where the

0:24:05.359 --> 0:24:06.280
<v Speaker 3>street's looking as well.

0:24:06.359 --> 0:24:10.560
<v Speaker 9>Right, Yes, certainly investors are definitely going to be looking

0:24:10.600 --> 0:24:15.240
<v Speaker 9>at expectations for high bandwidth memory growth for Micron, both

0:24:15.920 --> 0:24:18.960
<v Speaker 9>in fiscal twenty four but also looking at calendar twenty

0:24:19.000 --> 0:24:23.480
<v Speaker 9>twenty five. Micron's management has we think is a pretty

0:24:23.520 --> 0:24:27.040
<v Speaker 9>reasonable goal of reaching mid twenty percent bitchhare for HBM

0:24:27.880 --> 0:24:28.880
<v Speaker 9>by twenty twenty five.

0:24:29.720 --> 0:24:32.600
<v Speaker 3>So historically, Jake, you know, memory is a kind of

0:24:32.680 --> 0:24:39.000
<v Speaker 3>highly cyclical and almost commoditized piece of technology. Does AI

0:24:39.160 --> 0:24:42.520
<v Speaker 3>change that, because in the context of AI accelerators or GPUs,

0:24:42.800 --> 0:24:47.160
<v Speaker 3>we just talk about this addressable market and exponential growth curve.

0:24:48.119 --> 0:24:49.399
<v Speaker 4>Yeah, so it's definitely different.

0:24:49.720 --> 0:24:54.359
<v Speaker 9>You definitely don't have the same commodity like cycles, the

0:24:54.400 --> 0:24:57.960
<v Speaker 9>same commodity like expectations for HBM that we would typically

0:24:58.000 --> 0:25:02.600
<v Speaker 9>see with memory markets. This is definitely a secular trend

0:25:03.040 --> 0:25:07.280
<v Speaker 9>that's really being driven by AI, and in terms of

0:25:07.640 --> 0:25:11.560
<v Speaker 9>HBM capacity, they're actually supply cans train right now memory suppliers,

0:25:11.640 --> 0:25:16.800
<v Speaker 9>so they're getting they're getting margin advantages right now relative

0:25:16.840 --> 0:25:22.240
<v Speaker 9>to standard DRAMs. So as as HBM continues to grow

0:25:22.560 --> 0:25:24.720
<v Speaker 9>in terms of revenue, that should also lead to margin

0:25:24.840 --> 0:25:26.520
<v Speaker 9>expansion for memory suppliers as well.

0:25:27.320 --> 0:25:31.159
<v Speaker 3>I'm really interested in how much Sanjay Morotra, the CEO,

0:25:31.200 --> 0:25:33.280
<v Speaker 3>gives us a crystal ball into the future because in

0:25:33.320 --> 0:25:36.200
<v Speaker 3>the first day instance, HBM three goes with H two

0:25:36.280 --> 0:25:41.080
<v Speaker 3>hundred generation of Nvidia's AI accelerator. But in the future, yeah, Blackwell, Like,

0:25:41.320 --> 0:25:43.679
<v Speaker 3>maybe he'll tell us how much money they make. But

0:25:43.720 --> 0:25:46.680
<v Speaker 3>I'm interested in the landscape. You know, Samsung is looking

0:25:46.720 --> 0:25:49.720
<v Speaker 3>at high band with memory. You have sk Heinex. You

0:25:49.760 --> 0:25:53.280
<v Speaker 3>know what where does Micron sit in that competitive field?

0:25:54.000 --> 0:25:54.160
<v Speaker 2>Yeah?

0:25:54.240 --> 0:25:57.920
<v Speaker 9>Yeah, so sk Heinix has been the leader. They've really

0:25:57.960 --> 0:26:01.080
<v Speaker 9>been sort of the sole supplier to in Vida's H

0:26:01.160 --> 0:26:04.000
<v Speaker 9>one hundred chip. But as we look at H two hundred,

0:26:04.520 --> 0:26:07.200
<v Speaker 9>Micron seems to have gained a decent amount of shared there,

0:26:07.400 --> 0:26:10.040
<v Speaker 9>and we're expecting Micron to gain share into their Blackwell

0:26:10.119 --> 0:26:12.439
<v Speaker 9>chip as well. But that's not the only opportunity for

0:26:12.520 --> 0:26:14.959
<v Speaker 9>Micron as well, they can continue to gain share in

0:26:15.359 --> 0:26:19.160
<v Speaker 9>other GPUs accelerators. There's a lot of options AMDs as

0:26:19.160 --> 0:26:23.080
<v Speaker 9>well as one example, Google's TPU is another opportunity. All

0:26:23.119 --> 0:26:25.040
<v Speaker 9>of those chips require high BANDWTH memory.

0:26:26.400 --> 0:26:28.800
<v Speaker 3>There is some other stuff that we should talk about,

0:26:28.880 --> 0:26:32.359
<v Speaker 3>I mean, DRAM generally nand or flash memory. What are

0:26:32.359 --> 0:26:34.840
<v Speaker 3>some of the other important areas of Micron's business.

0:26:35.080 --> 0:26:38.280
<v Speaker 9>Yeah, so there's also i mean, you know, staying on

0:26:38.320 --> 0:26:41.879
<v Speaker 9>the topic of AI as well. Aside from HBM, they

0:26:41.920 --> 0:26:44.760
<v Speaker 9>actually still have products that are related to AI growth,

0:26:45.480 --> 0:26:50.399
<v Speaker 9>high capacity memory modules for DRAM, enterprise SSDs, all of

0:26:50.400 --> 0:26:53.679
<v Speaker 9>those are starting to see an inflection related to AI revenue.

0:26:54.080 --> 0:26:56.720
<v Speaker 9>But generally speaking, the market just looks a lot healthier

0:26:58.119 --> 0:27:02.399
<v Speaker 9>as we think about supply construs and limited capacity this

0:27:02.480 --> 0:27:06.080
<v Speaker 9>year and potentially into next year as well, we're expecting

0:27:06.080 --> 0:27:10.960
<v Speaker 9>pricing to continue to increase for non eight AI related

0:27:11.000 --> 0:27:11.959
<v Speaker 9>products for Micron.

0:27:13.520 --> 0:27:14.639
<v Speaker 4>Okay, put you on the spot.

0:27:14.680 --> 0:27:16.400
<v Speaker 3>What are we expecting that give me the top line

0:27:16.440 --> 0:27:19.080
<v Speaker 3>growth numbers and where b I sees the print this evening.

0:27:19.200 --> 0:27:22.359
<v Speaker 9>Yeah, so we think that Micron will report above the

0:27:22.400 --> 0:27:25.280
<v Speaker 9>mid range of guidance for both revenue and earnings, and

0:27:25.359 --> 0:27:29.560
<v Speaker 9>as prices continue to increase throughout this year, that could

0:27:29.640 --> 0:27:34.080
<v Speaker 9>lead to upward estimate revisions across the street for this

0:27:34.200 --> 0:27:37.159
<v Speaker 9>year and potentially next year as well.

0:27:37.720 --> 0:27:40.440
<v Speaker 3>You are new to the show BlueBag Technology, but we're

0:27:40.480 --> 0:27:42.479
<v Speaker 3>grateful to have you. What else are you working on

0:27:42.520 --> 0:27:44.880
<v Speaker 3>in the field of memory right now? You know, it's

0:27:44.920 --> 0:27:48.280
<v Speaker 3>a big coverage area. We talked about how historically it

0:27:48.320 --> 0:27:51.919
<v Speaker 3>behaves like a commodity, and it's also a global industry

0:27:51.960 --> 0:27:52.359
<v Speaker 3>as well.

0:27:53.440 --> 0:27:57.280
<v Speaker 9>Yeah, so we've already done an HBM sort of market

0:27:57.320 --> 0:27:59.960
<v Speaker 9>forecast that goes out five years to twenty twenty eight,

0:28:00.200 --> 0:28:02.880
<v Speaker 9>So that's something that we're continuously tracking and looking at.

0:28:03.040 --> 0:28:05.920
<v Speaker 9>But on top of that, we're also just looking at

0:28:06.080 --> 0:28:09.359
<v Speaker 9>for non AI related products, what capacity is going to

0:28:09.359 --> 0:28:12.240
<v Speaker 9>look like throughout this year and next year, to try

0:28:12.240 --> 0:28:14.679
<v Speaker 9>to understand what that supply demand balance looks like.

0:28:14.720 --> 0:28:15.240
<v Speaker 1>So that's just.

0:28:15.240 --> 0:28:18.400
<v Speaker 9>Ongoing work that we're continuously looking at how that impacts

0:28:18.800 --> 0:28:22.560
<v Speaker 9>pricing and ultimately demand for the company's products.

0:28:23.040 --> 0:28:25.560
<v Speaker 3>Bloomberg Intelligence analyst Jake Silman. As you can tell, I

0:28:25.560 --> 0:28:27.800
<v Speaker 3>could talk about the memory market all day long.

0:28:27.920 --> 0:28:28.320
<v Speaker 4>Thank you.

0:28:28.400 --> 0:28:31.320
<v Speaker 3>Now, Bloomberg invest is underway in New York. Let's get

0:28:31.359 --> 0:28:34.040
<v Speaker 3>to the live event. Our very own Caroline Hide is

0:28:34.080 --> 0:28:37.520
<v Speaker 3>sitting down with Canvas Ventures Rebecca Lynch and Licos Globals

0:28:37.560 --> 0:28:39.480
<v Speaker 3>Management's Nick Laster.

0:28:40.640 --> 0:28:59.680
<v Speaker 1>And general partner at Canvas Ventures with Bloomberg's Caroline Hide.

0:29:00.320 --> 0:29:03.840
<v Speaker 10>To have two people kind of at either end of

0:29:03.840 --> 0:29:06.720
<v Speaker 10>the spectrum here when it comes to private investing, going

0:29:06.760 --> 0:29:10.719
<v Speaker 10>into public investing and I want to sort of launch

0:29:10.760 --> 0:29:12.720
<v Speaker 10>trade in what on earth it is like to be

0:29:12.760 --> 0:29:15.280
<v Speaker 10>writing checks at either rent at the moment. So with

0:29:15.320 --> 0:29:17.840
<v Speaker 10>the Lucas of course, Nick, you are looking much more

0:29:17.920 --> 0:29:21.680
<v Speaker 10>at the late stage rounds IPOs maybe just very recently

0:29:21.680 --> 0:29:24.400
<v Speaker 10>gone public companies. And then Rebecca with you you're more in

0:29:24.440 --> 0:29:25.600
<v Speaker 10>the series A the series B.

0:29:25.840 --> 0:29:29.160
<v Speaker 11>So Rebecca kick us off. Yeah. Is it competitive?

0:29:29.440 --> 0:29:32.560
<v Speaker 12>You know it is competitive, But for how we approach

0:29:32.600 --> 0:29:34.560
<v Speaker 12>the market, we we really have a lot of runway

0:29:34.600 --> 0:29:36.200
<v Speaker 12>in front of us because we spend a lot of

0:29:36.240 --> 0:29:39.720
<v Speaker 12>time on our core investment thesis. And now with Jenai,

0:29:39.840 --> 0:29:40.960
<v Speaker 12>which who hasn't heard of that.

0:29:41.080 --> 0:29:42.400
<v Speaker 11>I've never heard of it, never heard of it.

0:29:43.000 --> 0:29:46.840
<v Speaker 12>There are so many really interesting opportunities from founders that

0:29:46.880 --> 0:29:50.000
<v Speaker 12>have done multiple exits in the past, multiple companies and

0:29:50.080 --> 0:29:52.440
<v Speaker 12>so we've done three this year and the pricing is

0:29:52.520 --> 0:29:55.000
<v Speaker 12>back down to wait, you know, pre twenty one levels,

0:29:55.000 --> 0:29:57.440
<v Speaker 12>all with the Jenai focus. But you have to really

0:29:57.520 --> 0:29:58.960
<v Speaker 12>know what you're looking for and you have to know

0:29:58.960 --> 0:29:59.520
<v Speaker 12>what to avoid.

0:30:00.000 --> 0:30:03.280
<v Speaker 10>Okay, So, Nick, if we're looking at Lucas's approach right now,

0:30:03.920 --> 0:30:06.960
<v Speaker 10>of course come out of soare us raising our own

0:30:07.000 --> 0:30:09.840
<v Speaker 10>fund already? In call we for example, which is one

0:30:09.880 --> 0:30:10.760
<v Speaker 10>of the pin ups in Ai.

0:30:11.280 --> 0:30:14.120
<v Speaker 11>Was that a hustle to get into How competitive it was?

0:30:14.320 --> 0:30:17.080
<v Speaker 13>I think it's the earnest is on investors to do

0:30:17.120 --> 0:30:19.880
<v Speaker 13>something other than just write a check, because capital is

0:30:19.920 --> 0:30:24.959
<v Speaker 13>something of a commodity for us, and particularly with Corey I, Mike, Brandon, Bryan,

0:30:26.080 --> 0:30:28.800
<v Speaker 13>it came down to our ability to help them tell

0:30:28.840 --> 0:30:30.480
<v Speaker 13>their story in a way that was going to resonate

0:30:30.840 --> 0:30:32.720
<v Speaker 13>as they transitioned to public markets.

0:30:32.800 --> 0:30:33.280
<v Speaker 11>Job net.

0:30:35.560 --> 0:30:37.160
<v Speaker 2>But no, it's an exceptional asset.

0:30:37.200 --> 0:30:40.840
<v Speaker 13>We were humble to partner with them, but it requires

0:30:40.840 --> 0:30:43.840
<v Speaker 13>investors to hone and clearly articulate their value prop.

0:30:44.640 --> 0:30:47.840
<v Speaker 10>So we already have brought up jen Ai. So, Nick,

0:30:48.280 --> 0:30:52.560
<v Speaker 10>if a company right now is that the upper ends

0:30:52.600 --> 0:30:56.120
<v Speaker 10>of raising money actually might even be eyeing the public markets,

0:30:56.520 --> 0:30:58.800
<v Speaker 10>does jenerator, AI have to be in their story. That's

0:30:58.840 --> 0:31:01.000
<v Speaker 10>your key selling point, and you can help companies tell

0:31:01.040 --> 0:31:01.400
<v Speaker 10>a story.

0:31:01.400 --> 0:31:02.800
<v Speaker 11>Does that have to pH b at AI story?

0:31:02.840 --> 0:31:04.000
<v Speaker 2>It certainly doesn't hurt.

0:31:05.320 --> 0:31:09.640
<v Speaker 13>I think companies that have AI exposure credible AI story

0:31:10.280 --> 0:31:14.320
<v Speaker 13>are certainly in a very different situation when it comes

0:31:14.320 --> 0:31:17.720
<v Speaker 13>to IPO demand. If you look at deals this year

0:31:18.320 --> 0:31:21.800
<v Speaker 13>to come to mind both successes Reddit and a Steri

0:31:21.920 --> 0:31:27.440
<v Speaker 13>Labs march IPOs Astera was a pure play AI narrative

0:31:27.560 --> 0:31:30.440
<v Speaker 13>and Reddit was a complimentary AI narrative.

0:31:30.480 --> 0:31:32.040
<v Speaker 2>They're up sixty to eighty percent.

0:31:32.360 --> 0:31:36.120
<v Speaker 13>But irrespective of whether or not you have a credible

0:31:36.200 --> 0:31:40.200
<v Speaker 13>AI story, if you're a CEO, if you're a founder

0:31:40.680 --> 0:31:42.920
<v Speaker 13>thinking about growing public in the next two to three years,

0:31:43.960 --> 0:31:49.120
<v Speaker 13>I think the things that really matter identifying partners that

0:31:49.320 --> 0:31:53.640
<v Speaker 13>you can see yourself growing with, building a robust finance function,

0:31:54.040 --> 0:31:56.760
<v Speaker 13>and identifying the KPIs that are going to drive value

0:31:56.840 --> 0:32:00.720
<v Speaker 13>not only today but going forward always going to be

0:32:01.160 --> 0:32:04.280
<v Speaker 13>public market demand AI or not for businesses that have

0:32:04.400 --> 0:32:07.680
<v Speaker 13>durable growth, strong unit economics, and a MINUSIGHTE on free

0:32:07.680 --> 0:32:08.160
<v Speaker 13>cash flow.

0:32:08.480 --> 0:32:12.880
<v Speaker 10>Does that also ring true in the Series A Series

0:32:12.960 --> 0:32:15.320
<v Speaker 10>B Space in the moment back how much you looking

0:32:15.400 --> 0:32:20.000
<v Speaker 10>at the public valuations and having to either downround it

0:32:20.160 --> 0:32:22.880
<v Speaker 10>or actually a company is managing to grow into their

0:32:22.960 --> 0:32:24.160
<v Speaker 10>valuations in that stage.

0:32:24.400 --> 0:32:26.960
<v Speaker 12>Oh for our for our companies. So for us, we're

0:32:27.000 --> 0:32:29.200
<v Speaker 12>early growth, so we're Series A and B when the

0:32:29.240 --> 0:32:31.760
<v Speaker 12>companies have a product we can get our hands on,

0:32:32.240 --> 0:32:34.240
<v Speaker 12>and then what we're really good at is helping them

0:32:34.280 --> 0:32:35.800
<v Speaker 12>scale and develop.

0:32:35.480 --> 0:32:37.920
<v Speaker 11>Their go to market and that like a strategic consultant.

0:32:37.960 --> 0:32:42.800
<v Speaker 12>Just like you said, companies now really, especially the experienced CEOs,

0:32:42.880 --> 0:32:45.640
<v Speaker 12>more than ever, are looking for investors, whether it be

0:32:45.720 --> 0:32:48.280
<v Speaker 12>my stage or ors that can really be a partner

0:32:48.280 --> 0:32:51.120
<v Speaker 12>with them and help them strategically go through the process right.

0:32:51.560 --> 0:32:53.800
<v Speaker 12>And so it's very important for us that you know,

0:32:53.840 --> 0:32:55.640
<v Speaker 12>I always tell founders they need to know where they

0:32:55.640 --> 0:32:57.720
<v Speaker 12>would land the plane if they had to, right.

0:32:58.000 --> 0:32:59.240
<v Speaker 11>And how that would work.

0:32:59.280 --> 0:33:01.680
<v Speaker 12>And so we work very early on and like what

0:33:01.720 --> 0:33:03.120
<v Speaker 12>would it mean to be profitable?

0:33:03.760 --> 0:33:05.480
<v Speaker 11>What people in our ecosystem do?

0:33:05.520 --> 0:33:08.360
<v Speaker 12>We need to actually partner with very early and we

0:33:08.480 --> 0:33:11.400
<v Speaker 12>encourage our founders to go out and do that years

0:33:11.440 --> 0:33:14.560
<v Speaker 12>before the IPO word even comes into their into their

0:33:14.600 --> 0:33:16.960
<v Speaker 12>board deck, you know, to really think outside of their

0:33:17.080 --> 0:33:18.840
<v Speaker 12>existing company and think very strategically.

0:33:19.120 --> 0:33:19.560
<v Speaker 4>Rebecca.

0:33:19.640 --> 0:33:24.600
<v Speaker 10>On that note, how often are those partnerships becoming MNA

0:33:24.720 --> 0:33:28.040
<v Speaker 10>opportunities rather than actually going public vira Ipo.

0:33:28.040 --> 0:33:31.400
<v Speaker 12>Well, and MNA opportunity almost always comes from a partnership.

0:33:31.520 --> 0:33:34.240
<v Speaker 12>It almost never comes from a cold start in a

0:33:34.320 --> 0:33:37.320
<v Speaker 12>sale process. And just last year a case text was

0:33:37.360 --> 0:33:41.000
<v Speaker 12>bought by Thompson Reuters right for six hundred and fifty million, biginning,

0:33:41.240 --> 0:33:44.440
<v Speaker 12>playing big probably I would say the most still the

0:33:44.440 --> 0:33:49.160
<v Speaker 12>most robust implementation of GPT four that exist, and they

0:33:49.160 --> 0:33:52.040
<v Speaker 12>did that because of partnership opportunities, both with all of

0:33:52.080 --> 0:33:55.560
<v Speaker 12>the AILM players. They've been in that space for a decade, right,

0:33:55.680 --> 0:33:58.360
<v Speaker 12>so they were they had the sandbox of GPT four

0:33:58.400 --> 0:34:02.120
<v Speaker 12>in July twenty two, and that comes from these really

0:34:02.160 --> 0:34:06.920
<v Speaker 12>strategic outreach outreach emotions that they did, and then Thomson

0:34:06.960 --> 0:34:09.319
<v Speaker 12>Reuters knew them well just because of you know, their

0:34:09.600 --> 0:34:11.520
<v Speaker 12>outreach they had done and the partnerships they'd done.

0:34:11.600 --> 0:34:14.400
<v Speaker 10>This in the ecosystem, what's interesting is we're seeing some

0:34:14.520 --> 0:34:17.920
<v Speaker 10>rather novel types of partnerships and normal types of M

0:34:18.000 --> 0:34:20.279
<v Speaker 10>and A actually going from at the moment, Nick, I mean,

0:34:20.480 --> 0:34:22.480
<v Speaker 10>you're in core weave. As we mentioned, they're trying to

0:34:22.520 --> 0:34:25.200
<v Speaker 10>acquire an asset at the moment, but more than looking

0:34:25.239 --> 0:34:29.920
<v Speaker 10>at the large language model plays open AI having relationships

0:34:29.960 --> 0:34:33.680
<v Speaker 10>with Microsoft and others, but then you're also seeing anthropic

0:34:33.880 --> 0:34:37.920
<v Speaker 10>being funded by Google and Amazon and having partnerships. Then

0:34:37.960 --> 0:34:40.280
<v Speaker 10>you get acquihires like we've just seen in Inflection.

0:34:40.320 --> 0:34:42.680
<v Speaker 12>I think it's called AI money laundering is one of

0:34:42.760 --> 0:34:43.759
<v Speaker 12>the posts that came out.

0:34:43.760 --> 0:34:45.440
<v Speaker 11>Right, I love that item.

0:34:45.640 --> 0:34:49.160
<v Speaker 12>She said, there were some there were some you know

0:34:49.360 --> 0:34:51.480
<v Speaker 12>articles out there about that that were pretty interesting.

0:34:51.560 --> 0:34:54.320
<v Speaker 10>Actually, what would you say of these partnerships and M

0:34:54.360 --> 0:34:56.719
<v Speaker 10>and A opportunities of this at the later stage.

0:34:56.880 --> 0:35:00.359
<v Speaker 13>Yeah, I think look in aggregate it speaks to how

0:35:00.440 --> 0:35:06.440
<v Speaker 13>integral these smaller private players are to hyper scale AI

0:35:06.440 --> 0:35:11.440
<v Speaker 13>platforms and offering end to end solutions and capabilities to

0:35:11.520 --> 0:35:16.719
<v Speaker 13>their customers. As it relates to the Inflection and Microsoft,

0:35:16.800 --> 0:35:19.960
<v Speaker 13>I think it also speaks to the regulatory climate, right

0:35:21.040 --> 0:35:24.880
<v Speaker 13>that was positioned and structured as an investment to license

0:35:26.000 --> 0:35:29.760
<v Speaker 13>their model. You're also seeing a pickup in deal terms,

0:35:30.920 --> 0:35:34.520
<v Speaker 13>you know, regulatory break freeze and the like. It's going

0:35:34.600 --> 0:35:36.160
<v Speaker 13>to be harder for big tech to do big M.

0:35:36.200 --> 0:35:36.400
<v Speaker 3>And A.

0:35:38.400 --> 0:35:40.440
<v Speaker 11>Is it regulatory well, And we saw that too with

0:35:40.520 --> 0:35:40.839
<v Speaker 11>case Tex.

0:35:40.920 --> 0:35:44.080
<v Speaker 12>I mean, Thomson Reuters came out just months beforehand and

0:35:44.120 --> 0:35:48.520
<v Speaker 12>said that AI would completely disrupt their entire business, and

0:35:48.560 --> 0:35:51.640
<v Speaker 12>they acquired case tax and case tex by the way,

0:35:51.640 --> 0:35:53.280
<v Speaker 12>I already had ten thousand of their own.

0:35:53.200 --> 0:35:55.480
<v Speaker 11>Users, but they needed.

0:35:55.320 --> 0:35:58.520
<v Speaker 12>That experience in that platform really for their business going forward.

0:35:58.520 --> 0:35:59.919
<v Speaker 12>And I think we're going to see more and more

0:36:00.160 --> 0:36:03.239
<v Speaker 12>tech M and A or for that reason from these

0:36:03.320 --> 0:36:04.879
<v Speaker 12>very big players.

0:36:04.880 --> 0:36:08.720
<v Speaker 10>Interesting, let's use case text as a case study, because

0:36:09.160 --> 0:36:12.360
<v Speaker 10>you what wrote the check into that in twenty sixteen.

0:36:12.840 --> 0:36:16.080
<v Speaker 10>So this isn't an overnight success. But we do feel

0:36:16.080 --> 0:36:18.120
<v Speaker 10>that general to AI has sprung off out of nothing,

0:36:18.160 --> 0:36:19.879
<v Speaker 10>and so I mean there's a fight to get into

0:36:19.880 --> 0:36:24.200
<v Speaker 10>these companies and valuations that just feel so extreme. How

0:36:24.239 --> 0:36:26.920
<v Speaker 10>are you rationalizing what is a good AI opportunity or not?

0:36:27.160 --> 0:36:28.320
<v Speaker 11>Yeah, no, it's a great question.

0:36:28.360 --> 0:36:31.760
<v Speaker 12>So we've been in let's say, not jenab Ai machine

0:36:31.840 --> 0:36:34.959
<v Speaker 12>learning since we did theory when we're the first investors there,

0:36:35.000 --> 0:36:38.040
<v Speaker 12>and then we've had a number of outcomes including figure

0:36:38.080 --> 0:36:42.799
<v Speaker 12>eight Luminar innai. And you know, although it feels like

0:36:43.000 --> 0:36:46.400
<v Speaker 12>it came out overnight, right and really the algorithms started

0:36:46.440 --> 0:36:49.440
<v Speaker 12>like twenty seventeen and so the companies that were best

0:36:49.440 --> 0:36:53.320
<v Speaker 12>positioned to take advantage of GPT four were companies that

0:36:53.360 --> 0:36:55.839
<v Speaker 12>were already in the space. I mean, case texts because

0:36:55.840 --> 0:36:58.480
<v Speaker 12>they were taking the place of a legal counsel had

0:36:58.520 --> 0:37:01.040
<v Speaker 12>to be really the bleeding edge of because they were

0:37:01.360 --> 0:37:05.200
<v Speaker 12>writing text right and so they had access into all

0:37:05.200 --> 0:37:07.480
<v Speaker 12>of that, and it was an evolution over time. But

0:37:07.480 --> 0:37:09.759
<v Speaker 12>I've got to tell you GPT four was just like

0:37:09.800 --> 0:37:12.560
<v Speaker 12>a light switch. And the best comp and explanation I

0:37:12.600 --> 0:37:15.840
<v Speaker 12>have is the case text team had tried to pass

0:37:15.920 --> 0:37:19.000
<v Speaker 12>the California Bar with GPT three point five and the

0:37:19.040 --> 0:37:21.360
<v Speaker 12>best they could ever get it to do was roughly

0:37:22.080 --> 0:37:26.040
<v Speaker 12>thirty percent, you know, score pathetic, although the California State

0:37:26.040 --> 0:37:28.600
<v Speaker 12>Bar and the average of sixty eight so also not great.

0:37:28.400 --> 0:37:29.720
<v Speaker 11>Thanks the excelloise exactly.

0:37:30.760 --> 0:37:33.000
<v Speaker 12>But when they put GPT four against it, it was

0:37:33.120 --> 0:37:36.000
<v Speaker 12>ninety four percent, which was better than the lawyers.

0:37:36.080 --> 0:37:38.480
<v Speaker 11>And that was in a very very short period of time.

0:37:38.520 --> 0:37:42.040
<v Speaker 12>So I think we just saw this step change incredibly suddenly,

0:37:42.360 --> 0:37:44.680
<v Speaker 12>and the company's best position to take advantage of it

0:37:44.719 --> 0:37:46.920
<v Speaker 12>were companies like a ship, they already in steerage and

0:37:46.960 --> 0:37:49.360
<v Speaker 12>momentum going into it, and they could pick up the

0:37:49.400 --> 0:37:52.800
<v Speaker 12>technology and plug it into their existing systems and customer

0:37:52.840 --> 0:37:53.600
<v Speaker 12>base rapidly.

0:37:54.000 --> 0:37:55.719
<v Speaker 10>Look, it was a light switch, and it was so

0:37:55.760 --> 0:37:57.840
<v Speaker 10>a light switch for many a market valuation. And we

0:37:58.000 --> 0:38:00.480
<v Speaker 10>talk about Nvidia day in, day out, now more than

0:38:00.520 --> 0:38:02.839
<v Speaker 10>three trillion. I mean it was at one trillion when

0:38:02.840 --> 0:38:04.880
<v Speaker 10>we started the year. I mean, this is a phenomenal

0:38:04.960 --> 0:38:09.120
<v Speaker 10>rate of growth. Nick, have you seen equivalents of this?

0:38:09.280 --> 0:38:11.719
<v Speaker 10>How do you explain this to the LPs coming into

0:38:11.719 --> 0:38:14.440
<v Speaker 10>your fund as to what the opportunity is for market

0:38:14.440 --> 0:38:15.480
<v Speaker 10>capitalization growth?

0:38:15.680 --> 0:38:15.879
<v Speaker 2>Yeah?

0:38:16.120 --> 0:38:19.680
<v Speaker 13>I think if you zoom out and you put this

0:38:19.760 --> 0:38:24.560
<v Speaker 13>into context, from twenty twelve to twenty twenty one, on

0:38:24.640 --> 0:38:28.400
<v Speaker 13>the back of extraordinarily low rates, you had USVC investment

0:38:28.480 --> 0:38:30.799
<v Speaker 13>grow eightfold. It was three hundred and thirty billion and

0:38:30.840 --> 0:38:35.600
<v Speaker 13>twenty one. You had more unicorns created in twenty twenty

0:38:35.600 --> 0:38:37.920
<v Speaker 13>one than you had in the prior five years combined.

0:38:38.640 --> 0:38:40.799
<v Speaker 13>So there are a number of companies that have been

0:38:41.000 --> 0:38:45.120
<v Speaker 13>over capitalized, if you will, at a different cost of capital,

0:38:45.200 --> 0:38:49.160
<v Speaker 13>yesterday's cost of when it was Yeah, about half of

0:38:49.200 --> 0:38:52.880
<v Speaker 13>the unicorns last raised when rates were below one percent. Well,

0:38:53.160 --> 0:38:57.799
<v Speaker 13>so those valuations, while stale, can persist as long as

0:38:57.880 --> 0:39:02.359
<v Speaker 13>cash burn and cash runways permit. There's some good data

0:39:02.560 --> 0:39:04.839
<v Speaker 13>that's come out recently. They would suggest that about half

0:39:04.880 --> 0:39:07.160
<v Speaker 13>of the seven hundred and forty unicorns in the US

0:39:08.120 --> 0:39:10.239
<v Speaker 13>will need to raise by December. So I think it's

0:39:10.239 --> 0:39:12.880
<v Speaker 13>a question of when, not if.

0:39:13.640 --> 0:39:17.560
<v Speaker 10>And are they rebecca the right ones to be betting

0:39:17.600 --> 0:39:20.440
<v Speaker 10>if they're running out of cash, but they have valuations

0:39:20.440 --> 0:39:23.960
<v Speaker 10>that I mean need to be downgraded. Who are you

0:39:24.000 --> 0:39:26.560
<v Speaker 10>looking at that designing the public market but just can't

0:39:26.640 --> 0:39:28.560
<v Speaker 10>at the last round that they.

0:39:28.520 --> 0:39:31.920
<v Speaker 12>Raised that I see, I'm sorry, And yeah, So companies

0:39:31.920 --> 0:39:35.440
<v Speaker 12>that are in this situation right are going to face

0:39:35.640 --> 0:39:40.759
<v Speaker 12>just really one of two consequences or three. Unfortunately, one

0:39:41.000 --> 0:39:43.439
<v Speaker 12>they take their medicine and they take a massive down

0:39:43.520 --> 0:39:46.040
<v Speaker 12>round and hopefully the investors are on board with a

0:39:46.080 --> 0:39:49.440
<v Speaker 12>complete recapitalization which restructures the entire company.

0:39:49.840 --> 0:39:50.680
<v Speaker 11>And that's one option.

0:39:51.760 --> 0:39:54.520
<v Speaker 12>And we're seeing thirty percent of company or fundraising right

0:39:54.560 --> 0:39:56.960
<v Speaker 12>now on that later stage actually be down round and

0:39:58.000 --> 0:40:02.879
<v Speaker 12>largely inside lead are disclosed. The ones that are disclosed, yes,

0:40:02.960 --> 0:40:05.160
<v Speaker 12>other things, other are ways they are doing this. I

0:40:05.160 --> 0:40:07.920
<v Speaker 12>would say it's much bigger than that. People are just doing.

0:40:07.800 --> 0:40:11.840
<v Speaker 11>You know, a note document right which is not disclosed

0:40:12.440 --> 0:40:14.640
<v Speaker 11>explain that sort of bridge fund. Yeah, so it's bridge funny.

0:40:14.680 --> 0:40:17.200
<v Speaker 12>So they do it instead of doing like an equity

0:40:17.239 --> 0:40:20.160
<v Speaker 12>financing and disclosing that, they do more of a safe

0:40:20.200 --> 0:40:22.160
<v Speaker 12>note or a bridge of some sort where it's really

0:40:22.200 --> 0:40:24.080
<v Speaker 12>sort of you know, debt capital going into it more

0:40:24.160 --> 0:40:26.880
<v Speaker 12>or less, but will take the form of equity. And

0:40:26.920 --> 0:40:30.239
<v Speaker 12>then the other option is they sell the company to

0:40:31.680 --> 0:40:32.320
<v Speaker 12>a public company.

0:40:32.360 --> 0:40:33.719
<v Speaker 11>Now the problem with that is these.

0:40:33.600 --> 0:40:37.320
<v Speaker 12>Companies having incredibly high burn rates, typically not ours, because

0:40:37.320 --> 0:40:39.879
<v Speaker 12>we try to manage that very well because we've seen

0:40:39.920 --> 0:40:42.600
<v Speaker 12>the show a couple of times. But you know, company

0:40:42.640 --> 0:40:45.799
<v Speaker 12>is not going to acquire a company for what the house,

0:40:45.920 --> 0:40:48.200
<v Speaker 12>you know, is burning five million dollars a month, which some.

0:40:48.160 --> 0:40:48.879
<v Speaker 11>Of these still are.

0:40:49.480 --> 0:40:51.640
<v Speaker 12>And then the third option is sort of the least favorable,

0:40:51.680 --> 0:40:53.360
<v Speaker 12>as they just close, they go out and kind of

0:40:53.400 --> 0:40:54.920
<v Speaker 12>quietly quietly go.

0:40:54.920 --> 0:40:59.399
<v Speaker 11>Away, right, a big company camp quietly go away. No.

0:40:59.480 --> 0:41:01.839
<v Speaker 12>I mean we saw Convoy, you know, not that long ago,

0:41:02.000 --> 0:41:04.279
<v Speaker 12>you know, go to zero overnight, and so I think

0:41:04.280 --> 0:41:05.040
<v Speaker 12>we'll see more of that.

0:41:06.280 --> 0:41:09.160
<v Speaker 10>What we might see though, is actually companies taking their

0:41:09.200 --> 0:41:12.760
<v Speaker 10>medicine nick and deciding to go public at a slightly

0:41:12.800 --> 0:41:16.239
<v Speaker 10>different valuation than was the previous and we've actually seen

0:41:16.280 --> 0:41:19.279
<v Speaker 10>that already in Stacar swallowed that bitter pill came to

0:41:19.320 --> 0:41:22.360
<v Speaker 10>the market and well, people my question as to how

0:41:22.400 --> 0:41:25.040
<v Speaker 10>well they've traded since. But I'm interested as to how

0:41:25.080 --> 0:41:28.080
<v Speaker 10>much you see the opportunity for companies to make that

0:41:28.160 --> 0:41:30.640
<v Speaker 10>bold step to decide to go public, to become a

0:41:30.640 --> 0:41:33.080
<v Speaker 10>publicly traded company with all the scrutiny that goes with it.

0:41:33.400 --> 0:41:37.320
<v Speaker 13>Yeah, I think there's certainly pros and cons to it.

0:41:37.520 --> 0:41:38.839
<v Speaker 2>Look, it's a long road.

0:41:38.880 --> 0:41:43.040
<v Speaker 13>I don't think you know an IPO is the end

0:41:43.080 --> 0:41:45.440
<v Speaker 13>in itself. It's a milestone on a multi year journey,

0:41:45.440 --> 0:41:47.920
<v Speaker 13>and ultimately, you know their success will be proven out

0:41:47.960 --> 0:41:52.719
<v Speaker 13>in public markets as they execute. There has been a

0:41:52.880 --> 0:41:56.759
<v Speaker 13>very acute, if not my opic, focus on headline valuations,

0:41:56.840 --> 0:42:01.360
<v Speaker 13>but I think slowly you're you're starting to see people

0:42:01.440 --> 0:42:04.399
<v Speaker 13>reorient and valuation expectations recalibrate.

0:42:05.200 --> 0:42:05.879
<v Speaker 4>How long did you.

0:42:05.800 --> 0:42:07.600
<v Speaker 10>Stay in a company once it's going public?

0:42:07.800 --> 0:42:10.080
<v Speaker 13>Yeah, it's hard to generalize, but look, we like to

0:42:10.120 --> 0:42:14.040
<v Speaker 13>think about businesses in terms of years, not quarters, and

0:42:15.200 --> 0:42:18.480
<v Speaker 13>duration is a competitive advantage for us. It's a competitive

0:42:18.520 --> 0:42:21.400
<v Speaker 13>advantage for CEOs as they try to build something enduring.

0:42:22.880 --> 0:42:25.520
<v Speaker 10>How painful is that? And I'm going to bring up

0:42:25.520 --> 0:42:30.040
<v Speaker 10>a relatively interesting case study of yours. You made your

0:42:30.120 --> 0:42:33.000
<v Speaker 10>name in many ways, some really incredible bets you made

0:42:33.000 --> 0:42:35.960
<v Speaker 10>with Soros and the companies that then went public, one

0:42:35.960 --> 0:42:38.359
<v Speaker 10>of them being Rivian. Now today is a very good

0:42:38.400 --> 0:42:40.879
<v Speaker 10>news day for Rivian shares a popping about forty percent

0:42:40.920 --> 0:42:42.880
<v Speaker 10>last time. I look, because they've done a deal with VW,

0:42:43.160 --> 0:42:45.720
<v Speaker 10>but it's been pretty painful in the interim. How long

0:42:46.120 --> 0:42:48.000
<v Speaker 10>did you understand that, Look, you've got to stay with

0:42:48.040 --> 0:42:50.000
<v Speaker 10>this company for the long term. RJ is going to

0:42:50.000 --> 0:42:51.840
<v Speaker 10>get us there, but it's not an overnight success.

0:42:52.000 --> 0:42:52.239
<v Speaker 2>Yeah.

0:42:52.280 --> 0:42:54.839
<v Speaker 13>I think, Look, you're going to find out what type

0:42:54.840 --> 0:42:57.560
<v Speaker 13>of investors you have when things are not going well.

0:42:58.719 --> 0:43:03.400
<v Speaker 13>I think that the smart CEOs, the right founders appreciate

0:43:03.440 --> 0:43:07.160
<v Speaker 13>the value of staying power. There will be missteps, Inevitably,

0:43:07.960 --> 0:43:12.120
<v Speaker 13>there will be execution faults, but I think the onus

0:43:12.160 --> 0:43:14.399
<v Speaker 13>is on those companies to communicate in a way where

0:43:14.400 --> 0:43:18.759
<v Speaker 13>they're straightforward and they're clear and they're transparent. That's what

0:43:18.840 --> 0:43:21.800
<v Speaker 13>being a public company CEO entails. CFO two part.

0:43:21.640 --> 0:43:24.040
<v Speaker 12>And part of your your staying power probably is driven

0:43:24.040 --> 0:43:26.319
<v Speaker 12>by really knowing the company well and the market and

0:43:26.320 --> 0:43:29.320
<v Speaker 12>having a really informed pisis about how.

0:43:29.120 --> 0:43:29.719
<v Speaker 11>You're seeing it.

0:43:29.760 --> 0:43:32.120
<v Speaker 12>And I think that's important for any investor, you know,

0:43:32.200 --> 0:43:34.920
<v Speaker 12>for for a CEO, to really find an investor that

0:43:35.160 --> 0:43:38.280
<v Speaker 12>understands that space, that does their own work, that actually

0:43:38.280 --> 0:43:41.600
<v Speaker 12>goes out and talks to the consumers of that product,

0:43:41.680 --> 0:43:43.840
<v Speaker 12>I think is so important. And so a few investors

0:43:43.960 --> 0:43:48.040
<v Speaker 12>actually do that. But that's really what builds conviction for us.

0:43:48.120 --> 0:43:51.640
<v Speaker 12>Either early stage or later stage. We can often sell really,

0:43:51.680 --> 0:43:53.800
<v Speaker 12>you know, earlier, or we have to make.

0:43:53.680 --> 0:43:56.200
<v Speaker 11>The choice, you know, with case text with figure eight with.

0:43:56.200 --> 0:43:59.600
<v Speaker 12>Gabby, with you know, with with Future Advisor. You know,

0:43:59.640 --> 0:44:02.560
<v Speaker 12>we ought we had term sheets to finance it. And

0:44:02.600 --> 0:44:05.600
<v Speaker 12>the question is do we finance it and keep going or.

0:44:05.520 --> 0:44:07.720
<v Speaker 11>Do we sell? And this is this price the right price?

0:44:07.920 --> 0:44:10.600
<v Speaker 12>And that's that's a question that you can only answer

0:44:10.680 --> 0:44:12.560
<v Speaker 12>if you do the work, just like when you're a

0:44:12.560 --> 0:44:16.520
<v Speaker 12>public market investor. And it's interesting that, you know, we

0:44:16.600 --> 0:44:19.600
<v Speaker 12>do see the bad behavior now of investors that were

0:44:19.640 --> 0:44:22.080
<v Speaker 12>sort of you know, tourist investors that came in and

0:44:22.400 --> 0:44:24.799
<v Speaker 12>thought it was just you know, you know, throw in

0:44:24.840 --> 0:44:26.279
<v Speaker 12>some money and cook.

0:44:26.120 --> 0:44:29.040
<v Speaker 11>Right, and it's not. It takes a lot of work

0:44:29.080 --> 0:44:30.120
<v Speaker 11>and you have to really enjoy the.

0:44:30.120 --> 0:44:34.600
<v Speaker 10>Job talking of well startups in actually the going public space.

0:44:34.640 --> 0:44:36.040
<v Speaker 10>I just got a quick poll for you. You've only

0:44:36.080 --> 0:44:37.520
<v Speaker 10>got a couple of minutes, but you've got a couple

0:44:37.560 --> 0:44:40.759
<v Speaker 10>of minutes to have an audience participation moment. I want

0:44:40.760 --> 0:44:42.279
<v Speaker 10>to ask you a question and what you thought about

0:44:42.320 --> 0:44:46.800
<v Speaker 10>this Texas exchange, which, of course I think Citadel's behind

0:44:46.800 --> 0:44:49.279
<v Speaker 10>it some other key players. Do you think the newly

0:44:49.320 --> 0:44:52.719
<v Speaker 10>announced Texas Stock Exchange could potentially compete in the New

0:44:52.800 --> 0:44:54.600
<v Speaker 10>York Stock Exchange in the NASDAC. I want you to

0:44:54.600 --> 0:44:56.960
<v Speaker 10>get voting, use your phones, use the QR code. I

0:44:56.960 --> 0:44:58.840
<v Speaker 10>oh no, if you think it's not a chance, we

0:44:58.880 --> 0:45:02.520
<v Speaker 10>could see some market share move southwest. Companies should welcome

0:45:02.960 --> 0:45:03.759
<v Speaker 10>the competition.

0:45:04.560 --> 0:45:05.480
<v Speaker 11>And it's interesting.

0:45:05.520 --> 0:45:09.920
<v Speaker 10>We've got a few companies, big privately run companies and

0:45:10.040 --> 0:45:13.799
<v Speaker 10>publicly run companies moving to Texas or Musks behind.

0:45:13.520 --> 0:45:14.000
<v Speaker 11>A lot of them.

0:45:14.000 --> 0:45:15.920
<v Speaker 10>And I'm sure he might well be a player of

0:45:15.960 --> 0:45:18.560
<v Speaker 10>taking companies public over there. But Nick, is it good

0:45:18.600 --> 0:45:21.600
<v Speaker 10>to have competition in the exchange space as well as

0:45:21.680 --> 0:45:23.480
<v Speaker 10>competition and actually companies going public?

0:45:23.560 --> 0:45:27.719
<v Speaker 13>Look, I think innovation, you know, markets, venues, structures, this

0:45:27.840 --> 0:45:31.040
<v Speaker 13>is all good for markets, it's good for investors, it's

0:45:31.040 --> 0:45:34.080
<v Speaker 13>healthy for companies. I think what's interesting about the Texas

0:45:34.080 --> 0:45:38.120
<v Speaker 13>Stock Exchange it's twofold, it's it's one in attempt to

0:45:38.200 --> 0:45:41.120
<v Speaker 13>provide public capital to private companies, but it also speaks

0:45:41.160 --> 0:45:44.400
<v Speaker 13>to some of the onerous burdens of being a public

0:45:44.400 --> 0:45:48.680
<v Speaker 13>company from a regulatory standpoint on the NYC or NASDAQ.

0:45:49.600 --> 0:45:52.439
<v Speaker 11>Great, and sometimes you need that safety net there.

0:45:52.640 --> 0:45:54.440
<v Speaker 10>Interestingly, I think we have a few New Yorkers in

0:45:54.440 --> 0:45:57.560
<v Speaker 10>the run forty percent. The majority of that is not

0:45:57.600 --> 0:45:59.920
<v Speaker 10>a chance the company is a going to move to

0:46:00.760 --> 0:46:05.160
<v Speaker 10>Texas to go public. But just as we wind up

0:46:05.160 --> 0:46:07.319
<v Speaker 10>this conversation, I want you both to give a piece

0:46:07.320 --> 0:46:09.080
<v Speaker 10>of advice to those who are looking at doing their

0:46:09.160 --> 0:46:11.960
<v Speaker 10>due diligence, who are wanting to perhaps either get into

0:46:12.000 --> 0:46:14.759
<v Speaker 10>the private space or into indeed companies that are about

0:46:14.760 --> 0:46:17.520
<v Speaker 10>to IPO. What due diligence should they be doing. How

0:46:17.560 --> 0:46:20.280
<v Speaker 10>to ensure that they're not tourists as you labeled them.

0:46:20.200 --> 0:46:22.600
<v Speaker 11>Rebecca, I think you have to talk to the customers.

0:46:22.920 --> 0:46:26.239
<v Speaker 12>You have to really understand why the customer, whether it's

0:46:26.600 --> 0:46:30.840
<v Speaker 12>consumer or enterprise, why the customer is using that product

0:46:30.880 --> 0:46:33.520
<v Speaker 12>and what their go to market motion truly is significant scale.

0:46:33.880 --> 0:46:37.320
<v Speaker 10>It might be easier for a riven or an instacart

0:46:37.520 --> 0:46:39.840
<v Speaker 10>consumer than perhaps some of the more deep in the

0:46:39.920 --> 0:46:42.680
<v Speaker 10>weeds ai trades. But Nick, as you're out there sort

0:46:42.719 --> 0:46:46.440
<v Speaker 10>of crossing the t's donning eyes on LP's committing to

0:46:46.480 --> 0:46:48.879
<v Speaker 10>your fund, what's your piece of advice that you're saying

0:46:48.920 --> 0:46:50.879
<v Speaker 10>to them to commit capital you? What would you say

0:46:50.960 --> 0:46:52.640
<v Speaker 10>for their story you're about to tell?

0:46:52.800 --> 0:46:55.960
<v Speaker 13>Well, look, I think everything is downstream of competitive advantage,

0:46:56.040 --> 0:47:00.399
<v Speaker 13>and that's true for investors, it's true for companies. Aware

0:47:00.440 --> 0:47:03.680
<v Speaker 13>of your circle of competence and kind of sticking to

0:47:03.840 --> 0:47:07.799
<v Speaker 13>that is the onness is on investors to do so.

0:47:08.520 --> 0:47:11.280
<v Speaker 13>If you don't have an edge, shouldn't be participating.

0:47:12.200 --> 0:47:14.760
<v Speaker 10>Keep bringing your edges to Bloomberg, keep coming on Bloomberg

0:47:14.800 --> 0:47:17.840
<v Speaker 10>Technology and across all of our bandwidth and our platforms.

0:47:17.880 --> 0:47:19.360
<v Speaker 10>It's been enjoyed to be with both of you in

0:47:19.360 --> 0:47:20.759
<v Speaker 10>front of this wonderful audience today.

0:47:20.760 --> 0:47:22.880
<v Speaker 11>Thank you for your participation as well. We love it.

0:47:23.200 --> 0:47:25.600
<v Speaker 10>We want to thank Rebecca Linn and Nick Lancaster.

0:47:25.680 --> 0:47:26.279
<v Speaker 11>Thank you very much.

0:47:26.280 --> 0:47:30.560
<v Speaker 3>Indeed, thank you Carelin That was Canvas Ventures. Rebecca Lynn

0:47:30.760 --> 0:47:33.839
<v Speaker 3>and lecos Goobal Management. Nick laster along with our own

0:47:33.920 --> 0:47:36.640
<v Speaker 3>Caroline Hyde. Let's get back very quickly and check on

0:47:36.680 --> 0:47:39.680
<v Speaker 3>shares of Rivian. Actually, we've paired much of the incredible

0:47:39.719 --> 0:47:42.200
<v Speaker 3>gain we saw in reven shares after an up to

0:47:42.320 --> 0:47:47.360
<v Speaker 3>five billion dollar deal JV formation with Volkswagen giving Volkswagen

0:47:47.440 --> 0:47:50.879
<v Speaker 3>access Serrivian software in tech. That's a two day chart,

0:47:50.920 --> 0:47:52.920
<v Speaker 3>but in the moment we're up around twenty seven percent.

0:47:53.200 --> 0:47:56.719
<v Speaker 3>Even so, shares trading at their highest level since February.

0:47:56.800 --> 0:47:59.480
<v Speaker 3>Of course, this is a stock that's had a precipitous

0:47:59.640 --> 0:48:03.640
<v Speaker 3>plumbs decline. Since it's November twenty twenty one, IPO will

0:48:03.640 --> 0:48:06.359
<v Speaker 3>continue to track it. That does it though, for this

0:48:06.520 --> 0:48:10.600
<v Speaker 3>edition of Bloomberg Technology. But this Friday, we have Vivek

0:48:10.680 --> 0:48:16.040
<v Speaker 3>Ramaswami joining me here on Bloomberg Technology. Following the presidential debates.

0:48:16.560 --> 0:48:20.799
<v Speaker 3>This is interesting. I've reported that Vivek was an intermediary,

0:48:21.000 --> 0:48:26.600
<v Speaker 3>a conduit between Elon Musk re engaging with former President

0:48:26.640 --> 0:48:28.680
<v Speaker 3>Donald Trump. I'm going to ask Vivec about that, and

0:48:28.719 --> 0:48:32.319
<v Speaker 3>I'm going to ask him about his ambitions for a

0:48:32.360 --> 0:48:37.719
<v Speaker 3>position in government should former President Trump gain reelection. This

0:48:37.880 --> 0:48:40.400
<v Speaker 3>was a pretty pretty big show that we had today.

0:48:40.600 --> 0:48:43.520
<v Speaker 3>We went really big on the Rivian story. We had

0:48:43.600 --> 0:48:48.720
<v Speaker 3>fantastic guest in Coxword's Moses, but we also can recap

0:48:48.760 --> 0:48:52.480
<v Speaker 3>on the podcast. Find it on the Terminal online, Apple, Spotify,

0:48:52.920 --> 0:48:56.920
<v Speaker 3>and also on iHeart on the Bloomberg platforms. Gosh, what

0:48:56.960 --> 0:48:59.840
<v Speaker 3>a week has been. Stay with us. This is Bloomberg technology.

0:49:00.760 --> 0:49:03.640
<v Speaker 2>He didn't hate it and he didn't help it.

0:49:03.960 --> 0:49:05.640
<v Speaker 10>But he didn't help it.