WEBVTT - Oracle's Biggest Gain Since 2022 and Bitcoin's Record Rise

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<v Speaker 1>We're from Mahard where innovation, money and power. Collie in

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<v Speaker 1>Silicon Vallet NBN. This is Bloomberg Technology with Caroline Hyde

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<v Speaker 1>and Ed Ludlow.

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<v Speaker 2>Amed Ludlow in San Francisco carries off on assignment.

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<v Speaker 3>This is Bloomberg Technology.

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<v Speaker 2>Coming up, We're going to talk earnings as Oracle posts

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<v Speaker 2>its biggest gain in two years amid a spiking bookings

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<v Speaker 2>in its cloud computing business. Details ahead, plus Bitcoin continuing

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<v Speaker 2>its record breaking run as two point seven billion dollars

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<v Speaker 2>flowed into crypto assets last week. We'll discuss with the

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<v Speaker 2>Delta Blockchain Fund CEO, and legislation that would force TikTok's

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<v Speaker 2>parent company to sell it or face a ban in

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<v Speaker 2>the US is picking up speed in Congress. We'll discuss

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<v Speaker 2>that and so much more throughout the hour. Let's get

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<v Speaker 2>right to market. Said it was a hotter than expected

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<v Speaker 2>CPI print that drove the narrative this morning. Actually in

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<v Speaker 2>the equity space, it was kind of a negative reaction

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<v Speaker 2>at first. We haven't really changed our mind about the

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<v Speaker 2>idea that if a rate cut is coming from the

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<v Speaker 2>Federal Reserve, it isn't coming till June. But actually look

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<v Speaker 2>at the Nazak one hundred. We're now up by more

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<v Speaker 2>than a percentage point. A lot of the legwork coming

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<v Speaker 2>from some of the earning story that we're going to

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<v Speaker 2>get into. Semiconductors also higher, outperforming one point four percent, even.

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<v Speaker 3>As you do see rates creep high.

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<v Speaker 2>US ten y yield was up about five basis points

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<v Speaker 2>four point one four percent, and now Bitcoin is down

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<v Speaker 2>one point three six percent at this moment in time,

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<v Speaker 2>just below or above sorry, seventy one thousand US dollars

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<v Speaker 2>per token. I talked about the kind of upside inequities

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<v Speaker 2>Nazak one hundred. It's probably Oracle that accounts for a

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<v Speaker 2>lot of that. At one point in the session, on

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<v Speaker 2>course for its biggest jump since the end of December

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<v Speaker 2>twenty twenty one, the story twenty five percent top line

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<v Speaker 2>growth in its cloud business. If you look at all

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<v Speaker 2>of the analyst notes, there is an AI tailwind here

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<v Speaker 2>is Oracle tries to compete with the hyperscalers. Let's get

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<v Speaker 2>right to that conversation and bring in Bloomberg's Brody Ford,

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<v Speaker 2>the Oracle whisperer in chief.

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<v Speaker 3>I mean that for me was the story right, you know.

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<v Speaker 2>Overall top line growth seven percent matched estimates, but that

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<v Speaker 2>performance in the cloud unit that was pretty good.

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<v Speaker 4>Yeah, they booked a lot more business than anybody expected.

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<v Speaker 4>And the executives attributed that to the cloud business, saying

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<v Speaker 4>that right now everybody needs more cloud computing power. Era

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<v Speaker 4>of AI training models plus just mass digitization means that

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<v Speaker 4>there's not enough computing power to go around. And a

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<v Speaker 4>lot of folks are signing that piece of paper with

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<v Speaker 4>Oracle and we should see that turned into revenue in

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<v Speaker 4>the coming quarters.

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<v Speaker 2>Brody, one of the great things about you is you

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<v Speaker 2>can take any technology company that on paper, I'm saying

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<v Speaker 2>on paper can be a bit dry, right. They used

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<v Speaker 2>all this jargon that we don't fully understand. In Oracles case,

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<v Speaker 2>remaining performance obligation. If anyone phones you up and said

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<v Speaker 2>that you'd hang up, you fall asleep. But actually, in

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<v Speaker 2>Oracles case, this is a mighty impressive backlog of business,

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<v Speaker 2>and the street's really paying attention.

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<v Speaker 4>Yeah, absolutely, it is the backlog, as you said, right,

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<v Speaker 4>it's business that's been signed. And what's interesting about that

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<v Speaker 4>is the reason it's a backlog is because they don't

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<v Speaker 4>have the physical space, right, I mean, the cloud isn't

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<v Speaker 4>this infinite thing in the Sky. It's data centers in Virginia, right,

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<v Speaker 4>and they need to build more of them. They said

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<v Speaker 4>that in the next year they're going to spend ten

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<v Speaker 4>billion dollars building out their data center presence around the country.

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<v Speaker 4>And think about that capex compared to a couple of

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<v Speaker 4>years ago, it was two billion. I mean, this is

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<v Speaker 4>a huge increase and that's what's giving investors confidence that

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<v Speaker 4>they truly are building out their footprint in response to

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<v Speaker 4>customer demand.

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<v Speaker 2>So I talked about the AI tailwind. That is what

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<v Speaker 2>the bulls see here. These Oracles AI story, Where did

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<v Speaker 2>they fit in and everything that's going on.

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<v Speaker 4>Yeah, I mean every software company wants to say that

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<v Speaker 4>any outperformance is due to AI Oracles no different. It's

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<v Speaker 4>hard to exactly parts how much is coming from it.

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<v Speaker 4>But there is some real third party voices here saying

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<v Speaker 4>that Oracle's cloud is particularly good for training and influencing

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<v Speaker 4>these AI models, which are notoriously resource intensive, right, And

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<v Speaker 4>so we've heard of a lot of folks going to

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<v Speaker 4>Oracle to train their models, and yeah, so that has

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<v Speaker 4>been fueling some of this demand, but there is some skepticism, right.

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<v Speaker 4>Brent phil was on here yesterday saying that the actual

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<v Speaker 4>current amount of revenue coming from AI workloads is not massive,

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<v Speaker 4>but the idea is that in the coming quarters, in

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<v Speaker 4>the coming year, as AI becomes a more mainstream part

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<v Speaker 4>of the tech stack, that that will increase.

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<v Speaker 2>All right, Bloomberg's Brady Ford and as we talked about earlier,

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<v Speaker 2>Oracle a real kind of contribute to to the upside

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<v Speaker 2>we see in ectees, particularly in the tech sector.

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<v Speaker 3>This morning. Good Seamate.

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<v Speaker 2>Now let's turn to another top story we've been tracking

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<v Speaker 2>for about a week, latest in Elon Musk's lawsuit against

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<v Speaker 2>open ai and Sam Outman. Open Ai saying in a

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<v Speaker 2>court filing that the billionaires claims quote rest on convoluted,

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<v Speaker 2>often incoherent, factual premises. Let's bring in Bloomberg's AI reporter

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<v Speaker 2>Rachel Metz. What is it that open ai is trying

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<v Speaker 2>to say here in normal people speak.

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<v Speaker 5>Rachel, Open ai is actually echoing in this corre filing

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<v Speaker 5>a number of the things that they said previously in

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<v Speaker 5>a blog post that they put up that had a

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<v Speaker 5>lot of juicy emails. This was last week, and also

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<v Speaker 5>some internal memos that we got a hold of recently. Basically,

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<v Speaker 5>they're saying there was no agreement for us to do

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<v Speaker 5>what you said, what you're saying is incorrect, and you

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<v Speaker 5>know a few other tidbits of just saying as you

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<v Speaker 5>say said, your argument is incoherent. And what's funny about

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<v Speaker 5>this is it is a procedural filing that they were

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<v Speaker 5>putting in this filing to say that we want this

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<v Speaker 5>court case to be classified as what's known as a

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<v Speaker 5>complex case in California and then I'll give it a

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<v Speaker 5>tiny bit of treatment in a different way by a

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<v Speaker 5>judge who you know can understand this stuff and also

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<v Speaker 5>like get things done quickly.

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<v Speaker 3>Well, there's also a reason why.

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<v Speaker 2>So Vinode Koestler, who is one of the early open

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<v Speaker 2>ai investors, was on the show yesterday and one of

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<v Speaker 2>the things that he was arguing for was that, you know,

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<v Speaker 2>open ai is critically important from a national security context,

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<v Speaker 2>right if America wants to be competitive in AI, then

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<v Speaker 2>we need to support open ai in doing that. And

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<v Speaker 2>I my understanding is that one of the things open

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<v Speaker 2>ai did with this filing is basically to say, hey,

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<v Speaker 2>if we go through with this lawsuit, the discovery process

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<v Speaker 2>will give away all our secrets in the context of AI.

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<v Speaker 3>Yeah.

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<v Speaker 5>See, they did argue that although to be fair.

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<v Speaker 3>One could argue that.

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<v Speaker 5>Any discovery process might have a risk of bringing up

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<v Speaker 5>things that you don't watch over at the public grade.

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<v Speaker 5>I mean, that's part of what makes it just interesting

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<v Speaker 5>to the rest of us. Right, What comes out in

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<v Speaker 5>the discovery process can be very interesting. That could be,

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<v Speaker 5>But hopefully we'll get some interesting information and some of

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<v Speaker 5>the things that they are hoping to keep a prietary

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<v Speaker 5>will beget proprietary.

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<v Speaker 1>All right.

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<v Speaker 2>Bloombers Rachel Metz covering a story that we've been covering

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<v Speaker 2>almost daily for a week now, and we will continue

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<v Speaker 2>to do so. Another big story in the world of

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<v Speaker 2>technology and video and Data Bricks are facing copyright infringement

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<v Speaker 2>lawsuits from a group of authors alleging the company's respective

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<v Speaker 2>AI models are trained on their books without permission. The

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<v Speaker 2>pair of proposed class actions, filed in San Francisco Federal court,

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<v Speaker 2>alleged Nvidia and Data Bricks built their models on a

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<v Speaker 2>library of pirated digital e books known as Books three.

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<v Speaker 2>The suits were filed in March eighth, and they joined

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<v Speaker 2>dozens of authors and copyright owners around the country suing

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<v Speaker 2>top AI companies, and those include open ai and Meta

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<v Speaker 2>all Right. Coming up on Bloomberg Technology Bitcoin hovers near

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<v Speaker 2>that all time high. Can the cryptocurrency run be sustained?

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<v Speaker 2>Seventy one six nine two dollars per token right now,

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<v Speaker 2>we're also taking a look at shares of ARM, the

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<v Speaker 2>chip design firm.

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<v Speaker 3>'tis a story as old as time.

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<v Speaker 2>The lockup is ending, and the concern from shareholders is

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<v Speaker 2>that those insiders that are now free to sell shares

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<v Speaker 2>will do so. Of course, it's a story that happens

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<v Speaker 2>for many in the immediate post IPO and aftermath. And

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<v Speaker 2>think about the number of technius that have listed in

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<v Speaker 2>the last six months or so. Continue tracking that soft

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<v Speaker 2>three tens to one percent on on. This is Bloomberg

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<v Speaker 2>Technology Bitcoin's record breaking run, showing few signs of slowing,

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<v Speaker 2>with large amounts of capital inflows strong demand for the cryptocurrencies,

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<v Speaker 2>so it reached an all time high of seventy two,

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<v Speaker 2>eight hundred and eighty one dollars on Monday, with some

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<v Speaker 2>investors eyeing a target of eighty thousand US dollars in

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<v Speaker 2>the medium term. Meanwhile, Gray Scale Investments is looking to

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<v Speaker 2>launch a clone of the world's largest bitcoin fund after

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<v Speaker 2>it saw more than eleven billion dollars of outflows from

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<v Speaker 2>its GBTC fund, the analysis from Cavita Gupta, Delta Blockchain

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<v Speaker 2>fun founder and general partner. So there's something going on

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<v Speaker 2>in the short term, and then there's the debate about

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<v Speaker 2>what's going on in the long term. Let's start with

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<v Speaker 2>the short term. The flows data seems to imply sustained

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<v Speaker 2>momentum behind at least institutional interest right in bitcoin. Just

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<v Speaker 2>give me your assessment of the hear in the now.

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<v Speaker 6>So if I look at the short term, ed I

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<v Speaker 6>really see that the Bitcoin ETF demand has surpassed a

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<v Speaker 6>lot of people's expectations. I mean, traditionally we have always

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<v Speaker 6>expected that before bitcoin having the prices always goes up.

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<v Speaker 6>But even when we see the sell pressure from the market,

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<v Speaker 6>people who have been through the beer had actually hold it,

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<v Speaker 6>we see the buy is just too much. So it's

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<v Speaker 6>been a very interesting cycle for bitcoin.

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<v Speaker 2>Something that I've been bringing up on air in the

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<v Speaker 2>last few days, if not weeks, is that there is

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<v Speaker 2>a scenario where those that are bullish from cryptocurrencies, particularly bitcoin,

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<v Speaker 2>and those that are bearish on bitcoin, seem to agree

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<v Speaker 2>on one thing. That is, from where we are now,

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<v Speaker 2>it is likely Bitcoin goes to a higher milestone we

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<v Speaker 2>just talked about eighty thousand as a medium term call.

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<v Speaker 2>I've also seen one hundred thousand, but there are many

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<v Speaker 2>that agree that it will then pull back. What's your

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<v Speaker 2>understand the why behind that?

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<v Speaker 6>I think combination of things. The first thing is after

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<v Speaker 6>the bitcoin having we always see some sort of a

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<v Speaker 6>plateau or ten to twenty percent pull in squeeze. We

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<v Speaker 6>are also expecting a lot of people in the market

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<v Speaker 6>are expecting interest rate to be cut down before elections,

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<v Speaker 6>and I think the elections being this year in the

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<v Speaker 6>United States going to really define how the political roadmap,

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<v Speaker 6>whether pro crypto or not that much procrypto, going to define.

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<v Speaker 6>But beyond bitcoin, we have already started seeing the technology rally,

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<v Speaker 6>which is with et and Polygon and Solana, so I

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<v Speaker 6>think that's also going to define this roadmap of bitcoin prices.

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<v Speaker 2>There is an interesting news story this very morning where

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<v Speaker 2>the Risbank governor, a central banker, gave his opinion that

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<v Speaker 2>he wanted to minimize bitcoins I guess influence presence in

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<v Speaker 2>the financial sector. He said, I want as little bitcoin

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<v Speaker 2>as possible in the Swedish financial system. What do you

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<v Speaker 2>make of the central bank governor weighing in like that.

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<v Speaker 6>I mean, we have seen that again and again every

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<v Speaker 6>bull cycle. We see some country or some influential Web

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<v Speaker 6>two world institution coming and saying this could be a problem,

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<v Speaker 6>and then in the bear market they're like, we told

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<v Speaker 6>you it's a problem. And then more institutional adoption, more

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<v Speaker 6>retail adoption, and then more and more states and countries

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<v Speaker 6>started using it. I mean, so it's not new said that.

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<v Speaker 6>I think it's beyond any particular state, city, country at

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<v Speaker 6>this point of time, all the way to us where

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<v Speaker 6>now we do have bitcoin ETFs. We are only three

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<v Speaker 6>years back, the question was bitcoin will be even legal

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<v Speaker 6>or will it exist or not?

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<v Speaker 3>Back in twenty one twenty.

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<v Speaker 2>Two itself, the central bank governor's argument was that it's

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<v Speaker 2>not a threat to financial stability, but he's worried about

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<v Speaker 2>the impact on consumers that may or may choose to hold.

0:13:01.040 --> 0:13:02.880
<v Speaker 3>That as a risk asset.

0:13:03.280 --> 0:13:06.280
<v Speaker 2>What is the big picture that's happening here beyond bitcoin?

0:13:06.720 --> 0:13:09.120
<v Speaker 2>Where what is the state of industry and right now

0:13:09.120 --> 0:13:11.520
<v Speaker 2>for Cryptakeovita, I.

0:13:11.440 --> 0:13:14.160
<v Speaker 6>Think it's all about technology. We usually it like you

0:13:14.200 --> 0:13:16.720
<v Speaker 6>and me have talked about this before. We always talked

0:13:16.720 --> 0:13:19.400
<v Speaker 6>about just the bitcoin and the prices, Like even when

0:13:19.440 --> 0:13:22.000
<v Speaker 6>we talk about anything in this space, we always talk

0:13:22.040 --> 0:13:24.880
<v Speaker 6>about whatever has caught height, like oh, NFT is done by.

0:13:24.760 --> 0:13:26.160
<v Speaker 3>Some Hollywood actor.

0:13:26.559 --> 0:13:28.920
<v Speaker 6>But the real thing out here is the technology, the

0:13:28.960 --> 0:13:32.520
<v Speaker 6>decentralization of things, which are now used by some of

0:13:32.559 --> 0:13:36.000
<v Speaker 6>the biggest companies, some of the biggest institutions globally, and

0:13:36.040 --> 0:13:38.600
<v Speaker 6>that's why you see ethereum rally as the second biggest

0:13:38.640 --> 0:13:39.559
<v Speaker 6>asset currency.

0:13:39.840 --> 0:13:40.880
<v Speaker 3>Then you're seeing.

0:13:40.600 --> 0:13:43.760
<v Speaker 6>All coins which I want to call technology tokens. Actually,

0:13:44.000 --> 0:13:47.640
<v Speaker 6>whether it's Polygon, whether it's Solana, whether it's arbitrum. Optimism

0:13:47.720 --> 0:13:50.000
<v Speaker 6>is doing very well, which is letting the transaction per

0:13:50.080 --> 0:13:54.400
<v Speaker 6>second to be way much more scalable and much less

0:13:54.480 --> 0:13:57.800
<v Speaker 6>cost So I think it is about the technology that

0:13:57.920 --> 0:14:00.839
<v Speaker 6>which is not just Web three native, but adoption and

0:14:00.920 --> 0:14:06.000
<v Speaker 6>supply chains, adoption in international remittances, adoption and stable coin yields.

0:14:06.280 --> 0:14:08.440
<v Speaker 6>And I think we need to start talking in the

0:14:08.480 --> 0:14:12.560
<v Speaker 6>mainstream media more about the underlining tech than just the

0:14:12.559 --> 0:14:16.120
<v Speaker 6>price movement. It's really amazing when we have trillion dollars

0:14:16.160 --> 0:14:19.200
<v Speaker 6>to talk about, but I think the technology should start

0:14:19.240 --> 0:14:20.720
<v Speaker 6>making the highlights now.

0:14:22.160 --> 0:14:26.880
<v Speaker 2>On the technology and the long term there seems to

0:14:27.000 --> 0:14:34.560
<v Speaker 2>be bipartisan not support, but probably acknowledgment of what's happening

0:14:34.560 --> 0:14:38.600
<v Speaker 2>with cryptocurrencies and the underlying blockchain technologies. Do you agree

0:14:38.600 --> 0:14:41.360
<v Speaker 2>with that that that's what's happening in DC in particular.

0:14:42.480 --> 0:14:45.600
<v Speaker 6>Yeah, but I also feel like DC is much more

0:14:45.680 --> 0:14:48.440
<v Speaker 6>informed today than what it was five years or four

0:14:48.520 --> 0:14:51.560
<v Speaker 6>years back. But at the same time, we should look

0:14:51.560 --> 0:14:54.480
<v Speaker 6>at blockchain as a more of a trusted technology than

0:14:54.640 --> 0:14:57.080
<v Speaker 6>just oh, whether it's a cash currency bitcoin. So just

0:14:57.120 --> 0:14:58.720
<v Speaker 6>to give you a quick example, because you were just

0:14:58.760 --> 0:15:02.840
<v Speaker 6>talking about open AI today, you can scrap data from anywhere,

0:15:02.880 --> 0:15:05.680
<v Speaker 6>but doing the verification of that data has always been

0:15:05.720 --> 0:15:08.240
<v Speaker 6>a problem with the social media and the AI chat

0:15:08.280 --> 0:15:11.280
<v Speaker 6>GPT process, and that's what gives you on blockchain, the

0:15:11.360 --> 0:15:14.920
<v Speaker 6>verification of the data, the ownership of that content and

0:15:15.000 --> 0:15:16.960
<v Speaker 6>whom to give it back to if it's their an

0:15:16.960 --> 0:15:20.240
<v Speaker 6>ip right associated with it. Very similar to what New

0:15:20.320 --> 0:15:22.640
<v Speaker 6>York Times and a lot of news media actually tried

0:15:22.680 --> 0:15:25.200
<v Speaker 6>to blame and see open GPT. I think we are

0:15:25.200 --> 0:15:28.400
<v Speaker 6>forgetting that at the end of the day, whether it's ethereum,

0:15:28.400 --> 0:15:32.040
<v Speaker 6>where it's blockchain, any of those things. Bitcoin, we are

0:15:32.080 --> 0:15:38.520
<v Speaker 6>talking about the underlining traceability, verification, decentralization technology, and I

0:15:38.560 --> 0:15:41.720
<v Speaker 6>think going back to DC. More and more people are

0:15:41.720 --> 0:15:44.880
<v Speaker 6>getting informed about it, but just the charm of talking

0:15:44.880 --> 0:15:48.920
<v Speaker 6>about INDK Bitcoin prices are just too difficult to get

0:15:48.960 --> 0:15:49.720
<v Speaker 6>away from.

0:15:50.320 --> 0:15:52.240
<v Speaker 2>We didn't get to Ethereum, but I would note that

0:15:52.280 --> 0:15:55.760
<v Speaker 2>there are lots of headlines about investment into the Ethereum ecosystem,

0:15:55.840 --> 0:15:58.760
<v Speaker 2>which you'd point out Cavita, Gitta, the Delta blockchain. Find

0:15:58.760 --> 0:15:59.200
<v Speaker 2>great to have.

0:15:59.160 --> 0:15:59.680
<v Speaker 3>You on the show.

0:16:07.600 --> 0:16:09.880
<v Speaker 2>Okay, it's time for talking tech and first up, Jamie

0:16:09.920 --> 0:16:13.800
<v Speaker 2>Diamond has once again hailed artificial intelligence, pointing to the

0:16:13.840 --> 0:16:18.360
<v Speaker 2>technologies quote unbelievable potential for the banking industry. The JP

0:16:18.480 --> 0:16:23.400
<v Speaker 2>Morgan CEO says ais use across functions like risk, fraud, marketing,

0:16:23.520 --> 0:16:27.200
<v Speaker 2>customer relations has caused it to grow in importance within

0:16:27.600 --> 0:16:31.520
<v Speaker 2>the company. And Jaomi, a Beijing based electronics firm best

0:16:31.600 --> 0:16:34.720
<v Speaker 2>known for its smartphones, had its biggest intra day share

0:16:34.760 --> 0:16:37.520
<v Speaker 2>gain in more than a year after the company announced

0:16:37.560 --> 0:16:41.000
<v Speaker 2>it will start selling its long awaited electric.

0:16:40.640 --> 0:16:42.120
<v Speaker 3>Vehicles this month.

0:16:42.320 --> 0:16:45.720
<v Speaker 2>The company's multi billion dollar bet marks its entry into

0:16:45.720 --> 0:16:48.880
<v Speaker 2>a red hot contest in China's EV market, which is led,

0:16:48.920 --> 0:16:53.360
<v Speaker 2>of course by Tesla and BYD plus. Legislation that would

0:16:53.400 --> 0:16:57.280
<v Speaker 2>force TikTok's Chinese parent to sell itself. All face of

0:16:57.360 --> 0:17:00.480
<v Speaker 2>ban in the US is picking up speeding Congress, posing

0:17:00.520 --> 0:17:05.000
<v Speaker 2>a dilemma for Republican lawmakers after former President Donald Trump

0:17:05.320 --> 0:17:09.080
<v Speaker 2>reversed his previous stance and suggested the app should not

0:17:09.160 --> 0:17:12.959
<v Speaker 2>be banned, after saying all young TikTok users would quote

0:17:13.280 --> 0:17:17.359
<v Speaker 2>go crazy without it. Let's stick with TikTok, and let's

0:17:17.359 --> 0:17:20.320
<v Speaker 2>turn to its current place in the political landscape. Every

0:17:20.359 --> 0:17:24.240
<v Speaker 2>election cycle, one social media platform emerges ahead of the

0:17:24.280 --> 0:17:27.280
<v Speaker 2>rest as a means of connecting with young voters. In

0:17:27.280 --> 0:17:32.320
<v Speaker 2>this cycle, all signs point to TikTok, but is campaigning

0:17:32.359 --> 0:17:37.360
<v Speaker 2>on TikTok even worth it. Bloomberg's Alex Barrinka has done

0:17:37.400 --> 0:17:41.760
<v Speaker 2>the hands on and scientific reporting of examining Katie Porter's

0:17:41.800 --> 0:17:44.800
<v Speaker 2>campaign for a run for the Senate seat right here

0:17:44.840 --> 0:17:48.000
<v Speaker 2>in California, which did rely heavily on TikTok.

0:17:48.320 --> 0:17:50.120
<v Speaker 3>Explain your epidology, Alex.

0:17:50.560 --> 0:17:54.480
<v Speaker 7>Yeah, So, I looked at Katie Porter and opponent Adam Shift,

0:17:54.480 --> 0:17:58.160
<v Speaker 7>who was the front market runner, and their performance on TikTok.

0:17:58.400 --> 0:18:01.480
<v Speaker 7>Porter is known as kind of a below of TikToker.

0:18:01.920 --> 0:18:06.240
<v Speaker 7>Her engagement rates are better than even the best influencers,

0:18:06.440 --> 0:18:08.399
<v Speaker 7>so I wanted to see how that played out in

0:18:08.440 --> 0:18:12.040
<v Speaker 7>the open race for the Senate primary, which goes to

0:18:12.080 --> 0:18:15.320
<v Speaker 7>the top two vote getters regardless of party. While on TikTok,

0:18:15.400 --> 0:18:18.560
<v Speaker 7>Katie Porter well outperformed out of shift. She posted half

0:18:18.600 --> 0:18:21.919
<v Speaker 7>as many videos but had twice as many views total.

0:18:22.200 --> 0:18:25.439
<v Speaker 7>Her engagement rates were stellar, and going into the primary

0:18:26.600 --> 0:18:31.879
<v Speaker 7>in early March, she was pulling incredibly well with young voters.

0:18:32.040 --> 0:18:35.439
<v Speaker 7>The vast majority of voters under thirty preferred Porter. The

0:18:35.560 --> 0:18:39.760
<v Speaker 7>problem with campaigning on social media was laid bare though

0:18:39.840 --> 0:18:42.159
<v Speaker 7>with the results. Porter came in third, which means she

0:18:42.200 --> 0:18:46.199
<v Speaker 7>will not be on the ballot in November. Why ed, Well,

0:18:46.320 --> 0:18:50.000
<v Speaker 7>those young people on TikTok didn't show up to the polls.

0:18:50.200 --> 0:18:52.200
<v Speaker 7>Only ten percent of voters were under the age of

0:18:52.240 --> 0:18:55.639
<v Speaker 7>thirty in the primary, forty seven percent were over the

0:18:55.680 --> 0:18:58.119
<v Speaker 7>age of sixty five, And Ed, I just don't know

0:18:58.160 --> 0:19:00.200
<v Speaker 7>if those folks are spending a lot of their time

0:19:00.280 --> 0:19:00.840
<v Speaker 7>on TikTok.

0:19:02.040 --> 0:19:04.040
<v Speaker 2>I go from being the host of the technology shows

0:19:04.040 --> 0:19:06.480
<v Speaker 2>being the one time political reporter, and I was up

0:19:06.520 --> 0:19:09.879
<v Speaker 2>on Super Tuesday. Hear at the desk covering California.

0:19:10.040 --> 0:19:10.680
<v Speaker 3>Is so right?

0:19:11.080 --> 0:19:13.600
<v Speaker 2>There are the same number of voters in California over

0:19:13.720 --> 0:19:17.000
<v Speaker 2>age sixty five as under thirty five. The difference is

0:19:17.040 --> 0:19:19.560
<v Speaker 2>the under thirty fives didn't show up, and in Katie

0:19:19.600 --> 0:19:22.439
<v Speaker 2>Porter's case, TikTok didn't work. But clearly it has a

0:19:22.480 --> 0:19:25.320
<v Speaker 2>place in this election, right And I think there's about

0:19:25.320 --> 0:19:28.159
<v Speaker 2>one hundred and seventy million US users of TikTok. I

0:19:28.200 --> 0:19:30.800
<v Speaker 2>think I'm right in saying Alex So just put that

0:19:30.840 --> 0:19:33.200
<v Speaker 2>into perspective here in the context of this bill that's

0:19:33.240 --> 0:19:34.160
<v Speaker 2>playing out in DC.

0:19:35.160 --> 0:19:37.800
<v Speaker 7>There are and it really kind of this this primary

0:19:37.920 --> 0:19:41.200
<v Speaker 7>lays bear also a pain point of the Democrats. They

0:19:41.240 --> 0:19:43.159
<v Speaker 7>really need young voters to show up. They showed up

0:19:43.200 --> 0:19:45.560
<v Speaker 7>in hordes for Biden. They showed up in the midterms

0:19:45.600 --> 0:19:48.840
<v Speaker 7>and the last cycle and stopped that prophesized red wave.

0:19:49.160 --> 0:19:52.000
<v Speaker 7>So for those one hundred and seventy million Americans, forty

0:19:52.040 --> 0:19:54.119
<v Speaker 7>three percent of them say they often get their news

0:19:54.160 --> 0:19:58.280
<v Speaker 7>on TikTok. So this is certainly a place for politicians

0:19:58.320 --> 0:20:02.280
<v Speaker 7>to spend their time because those traditional TV AD dollars,

0:20:02.320 --> 0:20:05.040
<v Speaker 7>they're looking away from those to reach younger voters. I

0:20:05.040 --> 0:20:08.480
<v Speaker 7>think the important thing in November, particularly for a camp

0:20:08.520 --> 0:20:11.640
<v Speaker 7>like Biden who's now on TikTok with a campaign account

0:20:11.880 --> 0:20:14.840
<v Speaker 7>is not only reaching them, not only speaking the Internet

0:20:14.960 --> 0:20:17.960
<v Speaker 7>language like Katie Porter was so good at with memes

0:20:18.040 --> 0:20:21.639
<v Speaker 7>and references to pop culture, but also getting those folks

0:20:21.640 --> 0:20:24.720
<v Speaker 7>to not just agitate online but get them into the polls.

0:20:24.960 --> 0:20:28.800
<v Speaker 7>Bridging that gap is what political experts and digital strategists

0:20:28.840 --> 0:20:31.760
<v Speaker 7>told me is going to be the absolute hardest thing,

0:20:32.119 --> 0:20:35.359
<v Speaker 7>And for Biden in particular, as he battles some of

0:20:35.400 --> 0:20:38.520
<v Speaker 7>the narrative around his age, TikTok seems to be a

0:20:38.520 --> 0:20:42.320
<v Speaker 7>place where he can kind of be relatable, be authentic,

0:20:42.680 --> 0:20:44.000
<v Speaker 7>be a candidate.

0:20:43.520 --> 0:20:44.360
<v Speaker 3>For those voters.

0:20:44.480 --> 0:20:46.399
<v Speaker 7>Again, he's going to have to clear some of the

0:20:46.440 --> 0:20:49.320
<v Speaker 7>bars to get them to not just vote with their fingers,

0:20:49.400 --> 0:20:51.840
<v Speaker 7>with their likes and comments, but to get on their

0:20:51.880 --> 0:20:53.199
<v Speaker 7>feet and head out to the polls.

0:20:54.119 --> 0:20:55.480
<v Speaker 3>Bloomberg A xiety's for Rinkov.

0:20:55.600 --> 0:20:58.520
<v Speaker 2>I really recommend you read that reporting on Katie Porter

0:20:58.880 --> 0:20:59.600
<v Speaker 2>on Bloomberg.

0:21:00.160 --> 0:21:01.200
<v Speaker 3>Coming up on the show, we're going to.

0:21:01.119 --> 0:21:04.480
<v Speaker 2>Take the pulse of the IPO market and Reddit with

0:21:04.640 --> 0:21:06.720
<v Speaker 2>Raymaker Securities Greg Martin.

0:21:06.800 --> 0:21:08.560
<v Speaker 3>Let's check a look of the markets.

0:21:08.560 --> 0:21:10.960
<v Speaker 2>These are your major indices that we're looking at, and

0:21:10.960 --> 0:21:12.640
<v Speaker 2>I think the story is after we got that hot

0:21:12.640 --> 0:21:16.280
<v Speaker 2>CPI print markets and traders were braced for the worst

0:21:16.280 --> 0:21:20.320
<v Speaker 2>case scenario, but in reality, nothing's really changed. The market

0:21:20.359 --> 0:21:23.800
<v Speaker 2>is still betting that a first rate cut would come

0:21:23.840 --> 0:21:26.280
<v Speaker 2>in June, if at all. And you look at the

0:21:26.880 --> 0:21:30.560
<v Speaker 2>NASDAK one hundreds of example slight outperformance relative d S

0:21:30.600 --> 0:21:32.320
<v Speaker 2>and P five hundred. A big part of that, as

0:21:32.320 --> 0:21:35.920
<v Speaker 2>we know, is Oracle and it's strong earnings. This is

0:21:35.920 --> 0:21:50.440
<v Speaker 2>Bloomberg Technology. Welcome back to Bloomberg Technology, Ed Ludlow here

0:21:50.720 --> 0:21:54.560
<v Speaker 2>in San Francisco, Okay. Reddit's IPO is still the talk

0:21:54.600 --> 0:21:58.680
<v Speaker 2>of well Reddit. Last night the company posted an ama

0:21:58.840 --> 0:22:01.840
<v Speaker 2>or in this case and our ask me almost anything,

0:22:02.000 --> 0:22:06.280
<v Speaker 2>and in it, reddit admins invited redditors to ask questions

0:22:06.480 --> 0:22:10.080
<v Speaker 2>to the CEO, COO, and CFO through the end of

0:22:10.160 --> 0:22:13.440
<v Speaker 2>March twelfth. Reddit then plans to take a selection of

0:22:13.480 --> 0:22:16.560
<v Speaker 2>the highest up voted posts and respond to them on

0:22:16.600 --> 0:22:20.320
<v Speaker 2>March eighteenth in a video, because legally it can't respond

0:22:20.359 --> 0:22:21.600
<v Speaker 2>to them in the comments section.

0:22:21.640 --> 0:22:22.200
<v Speaker 3>Here's the thing.

0:22:22.680 --> 0:22:26.320
<v Speaker 2>As of this morning, the most upvoted post by redditors

0:22:26.400 --> 0:22:31.800
<v Speaker 2>posed this question quote the general consensus vibe among Reddit

0:22:31.880 --> 0:22:34.919
<v Speaker 2>users about the IPO and what it portends for the

0:22:34.960 --> 0:22:37.879
<v Speaker 2>future of the site seems to be extremely negative.

0:22:38.280 --> 0:22:40.960
<v Speaker 3>Why do you think that is? Question mark?

0:22:41.480 --> 0:22:45.040
<v Speaker 2>It speaks to the historically combative relationship redditors have on

0:22:45.080 --> 0:22:47.720
<v Speaker 2>the site. And remember, redditors are going to be able

0:22:47.760 --> 0:22:50.560
<v Speaker 2>to claim eight percent of the shares on offer in

0:22:50.680 --> 0:22:54.360
<v Speaker 2>reddits IPO. Let's talk about the listing with Greg Martin,

0:22:54.440 --> 0:22:58.600
<v Speaker 2>co founder and managing director of Rainmaker Securities.

0:22:58.720 --> 0:22:59.400
<v Speaker 3>Let's start with.

0:22:59.280 --> 0:23:03.440
<v Speaker 2>Ba greg reaction to the idea that this social media

0:23:03.480 --> 0:23:05.680
<v Speaker 2>company is trying to market eight percent of the offering

0:23:05.720 --> 0:23:09.719
<v Speaker 2>to redditors who don't seem to like the company offering them.

0:23:10.080 --> 0:23:11.560
<v Speaker 8>Well, thank you for having me ed and good to

0:23:11.560 --> 0:23:14.880
<v Speaker 8>see again. You know it's smart. Clearly, there's a risk

0:23:14.960 --> 0:23:18.600
<v Speaker 8>that Reddit sees with you know, just being a commercial

0:23:18.720 --> 0:23:22.000
<v Speaker 8>enterprise at all, and now you know, selling themselves, you know,

0:23:22.080 --> 0:23:24.720
<v Speaker 8>as a public company and you know, trying to maximize

0:23:24.720 --> 0:23:25.360
<v Speaker 8>for profits.

0:23:25.480 --> 0:23:26.400
<v Speaker 1>It's kind of.

0:23:26.400 --> 0:23:29.639
<v Speaker 8>Violates, you know, the relationship that they have with their users,

0:23:29.680 --> 0:23:33.920
<v Speaker 8>who contribute a vast amount of content for free, and

0:23:34.160 --> 0:23:37.440
<v Speaker 8>now they're potentially you know, the commercialization becomes a risk factor.

0:23:37.480 --> 0:23:40.920
<v Speaker 8>And so how do they mitigate that risk. They make

0:23:41.000 --> 0:23:44.280
<v Speaker 8>their users and their content generators part of the company.

0:23:44.280 --> 0:23:47.480
<v Speaker 1>They give them an economic incentive to say, you.

0:23:47.400 --> 0:23:50.880
<v Speaker 8>Know, positive things about Reddit, because you know, now they're

0:23:50.920 --> 0:23:53.520
<v Speaker 8>hopefully going to be i PO share owners, and they're

0:23:53.520 --> 0:23:56.800
<v Speaker 8>going to be motivated to you know, speak well of Reddit.

0:23:56.880 --> 0:23:58.760
<v Speaker 1>So I think it's smart in what they're doing.

0:23:58.800 --> 0:24:02.080
<v Speaker 8>But there's still a risk that that the Reddit backlash,

0:24:02.320 --> 0:24:04.240
<v Speaker 8>you know, from people who don't own shares, or are

0:24:04.320 --> 0:24:07.359
<v Speaker 8>people who you know, shirk the opportunity to own shares

0:24:07.400 --> 0:24:10.360
<v Speaker 8>because they want to remain on this you know, bohemian community.

0:24:10.440 --> 0:24:12.280
<v Speaker 8>There's still that risk. But I think it's smart what

0:24:12.320 --> 0:24:13.040
<v Speaker 8>Reddit is doing.

0:24:14.080 --> 0:24:16.640
<v Speaker 2>I've been reflecting in the last twenty four forty eight

0:24:16.680 --> 0:24:18.960
<v Speaker 2>hours on the timing of all of this. Now, I

0:24:19.040 --> 0:24:23.119
<v Speaker 2>remember back in twenty twenty one when they confidentially filed.

0:24:23.200 --> 0:24:25.359
<v Speaker 2>Twenty twenty one was like the banner year for the

0:24:25.480 --> 0:24:29.399
<v Speaker 2>USIPO market, and I just wonder how you frame the

0:24:29.440 --> 0:24:32.960
<v Speaker 2>timing of whether they missed the boat or actually they

0:24:32.960 --> 0:24:36.040
<v Speaker 2>were right to wait until this point.

0:24:37.760 --> 0:24:37.920
<v Speaker 1>Yeah.

0:24:38.000 --> 0:24:39.600
<v Speaker 8>Well, I mean, listen, it would have been it would

0:24:39.600 --> 0:24:41.280
<v Speaker 8>have been great if they could have gone out, you know,

0:24:41.359 --> 0:24:44.720
<v Speaker 8>maybe in twenty nineteen, twenty twenty, and you know, had

0:24:45.400 --> 0:24:48.000
<v Speaker 8>a few years of the zero interest rate environment that

0:24:48.000 --> 0:24:50.879
<v Speaker 8>we had and and sort of you know, shored things up,

0:24:50.920 --> 0:24:53.720
<v Speaker 8>short up their after market performance. But I think going

0:24:53.760 --> 0:24:55.399
<v Speaker 8>public at the end of twenty one would have been

0:24:55.400 --> 0:24:58.360
<v Speaker 8>a big mistake. Obviously twenty twenty two was a significant

0:24:58.359 --> 0:25:01.320
<v Speaker 8>down year. I think their value would have been hammered.

0:25:01.359 --> 0:25:04.040
<v Speaker 8>They would have lost all of the halo effect of

0:25:04.040 --> 0:25:07.520
<v Speaker 8>being a new public company. They were clearly, you know,

0:25:08.200 --> 0:25:11.439
<v Speaker 8>way behind in terms of revenues at that point. They

0:25:11.440 --> 0:25:13.840
<v Speaker 8>didn't have an AI story like they're trying to really

0:25:13.880 --> 0:25:16.840
<v Speaker 8>tell now to beep up their valuation. So I think

0:25:16.840 --> 0:25:18.479
<v Speaker 8>it's a good thing that they didn't go public.

0:25:18.520 --> 0:25:18.680
<v Speaker 1>Then.

0:25:19.080 --> 0:25:22.000
<v Speaker 8>I think the markets are more favorable now for more

0:25:22.040 --> 0:25:25.840
<v Speaker 8>of a long term successful story, and I think they're

0:25:25.880 --> 0:25:28.800
<v Speaker 8>going to price their IPO at a much more reasonable

0:25:29.320 --> 0:25:31.800
<v Speaker 8>valuation now than they would have in twenty twenty one.

0:25:32.960 --> 0:25:34.879
<v Speaker 2>I want to talk about the valuation, but I also

0:25:34.960 --> 0:25:37.560
<v Speaker 2>do want to talk about AI. You said that they're

0:25:37.600 --> 0:25:41.239
<v Speaker 2>now telling the story. That story is essentially what we

0:25:41.280 --> 0:25:47.440
<v Speaker 2>could do is license the content to those who want

0:25:47.440 --> 0:25:51.440
<v Speaker 2>the data to train large language models or foundation models.

0:25:54.000 --> 0:25:57.320
<v Speaker 2>How does that sell to somebody deciding whether or not

0:25:57.359 --> 0:25:58.439
<v Speaker 2>to buy into an IPO.

0:26:00.119 --> 0:26:01.720
<v Speaker 1>Well, that's the million dollar question.

0:26:02.440 --> 0:26:05.600
<v Speaker 8>There's there's no doubt that the company today is ninety

0:26:05.600 --> 0:26:09.160
<v Speaker 8>eight percent revenue advertising revenue. So it's a media company

0:26:09.200 --> 0:26:12.240
<v Speaker 8>and it should trade more like a pinterest or a Snapchat,

0:26:12.920 --> 0:26:16.040
<v Speaker 8>but they are trying to trying to push the narrative

0:26:16.119 --> 0:26:18.920
<v Speaker 8>to sell more like an AI data company. They do

0:26:19.000 --> 0:26:22.359
<v Speaker 8>have a lot of proprietary data that's this user generated

0:26:22.400 --> 0:26:25.800
<v Speaker 8>content around various interest groups, whether it's stocks or cars

0:26:25.880 --> 0:26:28.080
<v Speaker 8>or all kinds of interest groups, so that they do

0:26:28.119 --> 0:26:30.520
<v Speaker 8>have a lot of content that their users are generating

0:26:31.080 --> 0:26:35.719
<v Speaker 8>and it's proprietary. And so they've done deals already with Google.

0:26:35.760 --> 0:26:38.480
<v Speaker 8>They've talked about you know, two hundred million of sort

0:26:38.480 --> 0:26:41.160
<v Speaker 8>of this data revenue over the next three years, including

0:26:41.240 --> 0:26:43.639
<v Speaker 8>us you know, around a sixty million dollar deal with Google.

0:26:44.080 --> 0:26:48.040
<v Speaker 8>So they do have actual revenue associated with this you

0:26:48.040 --> 0:26:51.159
<v Speaker 8>know AI training, you know model, you know the AI

0:26:51.760 --> 0:26:55.200
<v Speaker 8>coming onto their site, you know, crawling through their data

0:26:55.240 --> 0:26:57.280
<v Speaker 8>and training itself. So there is a there is a

0:26:57.280 --> 0:27:00.760
<v Speaker 8>story there, but it also again runs the risk of

0:27:01.040 --> 0:27:04.800
<v Speaker 8>inflaving their users who are like, hey, you're selling my data, You're.

0:27:04.680 --> 0:27:06.840
<v Speaker 1>Having an AI train on me, and I'm not getting

0:27:06.880 --> 0:27:07.480
<v Speaker 1>paid for it.

0:27:07.560 --> 0:27:09.960
<v Speaker 8>So there's there's a risk of that strategy as well,

0:27:09.960 --> 0:27:11.960
<v Speaker 8>But I think they're trying to get away from the

0:27:12.160 --> 0:27:15.000
<v Speaker 8>just being a pure advertising revenue narrative, and I think

0:27:15.040 --> 0:27:17.120
<v Speaker 8>it's a good strategy if they want to lift their valuation.

0:27:17.960 --> 0:27:20.480
<v Speaker 2>Okay, so valuation at the upper end of the range

0:27:20.520 --> 0:27:23.600
<v Speaker 2>thirty four dollars a share on a diluted basis, taking

0:27:23.640 --> 0:27:28.440
<v Speaker 2>into account RSUs and whatnot. Six point four billion. How

0:27:28.560 --> 0:27:31.280
<v Speaker 2>marketable is that? You know, people pay a lot of

0:27:31.320 --> 0:27:33.800
<v Speaker 2>attention to a headline figure on valuation.

0:27:35.640 --> 0:27:35.800
<v Speaker 1>Yeah.

0:27:35.840 --> 0:27:38.240
<v Speaker 8>Well, the company did about eight hundred million of revenue

0:27:38.280 --> 0:27:41.200
<v Speaker 8>last year, grew about twenty percent, so you know, kind

0:27:41.240 --> 0:27:44.879
<v Speaker 8>of pedestrian growth. Ninety eight percent of that revenue is advertising.

0:27:44.920 --> 0:27:47.360
<v Speaker 8>If you just were to apply a you know, five

0:27:47.400 --> 0:27:49.800
<v Speaker 8>to seven x multiple to that, which is where their

0:27:49.840 --> 0:27:52.680
<v Speaker 8>comps Pinterest and Snapchat, would you know, sort of trade

0:27:52.680 --> 0:27:54.399
<v Speaker 8>in that range, you'd come up with a four to

0:27:54.920 --> 0:27:58.000
<v Speaker 8>six billion dollar valuation. So six at the very high end,

0:27:58.080 --> 0:28:02.000
<v Speaker 8>and frankly probably should be closer to five. We're seeing

0:28:02.080 --> 0:28:04.159
<v Speaker 8>you know, trades on our platform, you know, at the

0:28:04.160 --> 0:28:06.480
<v Speaker 8>four point eight to five billion rangeing on the private

0:28:06.520 --> 0:28:07.480
<v Speaker 8>market before.

0:28:07.200 --> 0:28:08.960
<v Speaker 1>They went hit the road this week.

0:28:09.320 --> 0:28:13.199
<v Speaker 8>So I think that it's a stretch and again, I

0:28:13.200 --> 0:28:15.760
<v Speaker 8>think it's a question of whether the market will buy

0:28:15.880 --> 0:28:19.720
<v Speaker 8>into this emerging you know, data AI story that they're

0:28:19.720 --> 0:28:21.760
<v Speaker 8>trying to tell. They do have some contracts, they do

0:28:21.840 --> 0:28:24.760
<v Speaker 8>have some revenue, and in order to you know, push

0:28:24.840 --> 0:28:28.919
<v Speaker 8>clear of a traditional social media multiple, that's what the

0:28:28.960 --> 0:28:31.560
<v Speaker 8>market's going to have to believe. And that's why you know,

0:28:31.640 --> 0:28:35.320
<v Speaker 8>they speak up of Sam Altman, you know, with his

0:28:35.400 --> 0:28:38.280
<v Speaker 8>investment and him being involved with the company, and there's

0:28:38.280 --> 0:28:40.520
<v Speaker 8>a lot around the AI story in order to push

0:28:40.600 --> 0:28:42.080
<v Speaker 8>that multiple up. But I think it's going to be

0:28:42.120 --> 0:28:42.800
<v Speaker 8>a challenge.

0:28:43.720 --> 0:28:45.520
<v Speaker 2>I did note that I don't think there's a single

0:28:45.600 --> 0:28:48.280
<v Speaker 2>mention of Alexis o'hanian, one of the other co founders

0:28:48.280 --> 0:28:49.840
<v Speaker 2>in the S one, and when he's next on the show,

0:28:49.840 --> 0:28:52.200
<v Speaker 2>I'm certainly going to ask him about that. Greg Martin,

0:28:52.280 --> 0:28:56.680
<v Speaker 2>co founder managing director Raymaker Securities, always knows the pulse

0:28:56.680 --> 0:29:07.920
<v Speaker 2>of what's going on in the ground. All right, let's

0:29:07.960 --> 0:29:10.840
<v Speaker 2>get some news. Venture capital firm Excel is backing an

0:29:10.840 --> 0:29:16.840
<v Speaker 2>AIS startup that's using the technology to kill finance paperwork, Nananetes,

0:29:16.840 --> 0:29:20.840
<v Speaker 2>which uses artificial intelligence to help businesses square accounts and

0:29:20.880 --> 0:29:23.960
<v Speaker 2>manage budgets, raised twenty nine million dollars in an early

0:29:24.040 --> 0:29:28.440
<v Speaker 2>round led by Excel India, Y Combinator and Elevation Capital,

0:29:28.640 --> 0:29:31.200
<v Speaker 2>and others took part in the Series B round, which

0:29:31.240 --> 0:29:35.160
<v Speaker 2>brings the San Francisco based startups total funding to forty

0:29:35.600 --> 0:29:38.440
<v Speaker 2>million dollars. Let's talk a little bit more about startups

0:29:38.480 --> 0:29:41.960
<v Speaker 2>and venture with Selil Deshpande on today's VC Spotlight. He

0:29:42.600 --> 0:29:45.680
<v Speaker 2>is the founder and general partner of Uncorrelated Ventures, which

0:29:45.760 --> 0:29:49.160
<v Speaker 2>raised a new three hundred and fifteen million dollar fund

0:29:49.440 --> 0:29:52.960
<v Speaker 2>just a few weeks ago to focus on software and crypto.

0:29:53.520 --> 0:29:56.480
<v Speaker 2>And we'd point out that for a solo GP, that's

0:29:56.520 --> 0:30:01.440
<v Speaker 2>a pretty big chunk of change. Two focuses software crypto,

0:30:02.000 --> 0:30:03.360
<v Speaker 2>which is the bigger focus.

0:30:03.960 --> 0:30:07.040
<v Speaker 9>Infrastructure software is a larger focus. That's eighty percent. Why

0:30:07.120 --> 0:30:11.440
<v Speaker 9>crypto is twenty percent, Well, partly it's my background. It's

0:30:11.440 --> 0:30:16.360
<v Speaker 9>all been in infrastructure software, and a lot of crypto

0:30:16.440 --> 0:30:20.160
<v Speaker 9>is infrastructure software. Not all of it is, but portions

0:30:20.200 --> 0:30:23.320
<v Speaker 9>of it are just decentralized infrastructure software.

0:30:24.480 --> 0:30:29.080
<v Speaker 2>How much I don't know how to put this feel good?

0:30:29.480 --> 0:30:35.480
<v Speaker 2>Does spaces like infrastructure software SaaS get from what's happening

0:30:35.480 --> 0:30:38.040
<v Speaker 2>in AI? As far as I can tell, the very

0:30:38.080 --> 0:30:42.640
<v Speaker 2>basic pitch for AI is that it is a value

0:30:42.720 --> 0:30:44.600
<v Speaker 2>add to existing software platforms.

0:30:45.360 --> 0:30:45.560
<v Speaker 1>Well.

0:30:45.600 --> 0:30:49.320
<v Speaker 9>AI is a subset of infrastructure software, so it gets

0:30:49.400 --> 0:30:52.560
<v Speaker 9>a lot of feel good value from AI. Infrastructure software

0:30:52.600 --> 0:30:59.160
<v Speaker 9>is just software that is not application software. So AI

0:30:58.080 --> 0:31:05.720
<v Speaker 9>is very, very mean friendly right now, it's the principally,

0:31:06.040 --> 0:31:07.800
<v Speaker 9>it's the sentiment is too positive.

0:31:08.240 --> 0:31:09.080
<v Speaker 1>It's a hot mess.

0:31:09.600 --> 0:31:12.080
<v Speaker 9>Where I'd like to be investing is in the tools

0:31:12.080 --> 0:31:17.080
<v Speaker 9>and tool chains layer, but they are just too many companies,

0:31:17.120 --> 0:31:21.800
<v Speaker 9>it's too crowded, evaluations are high. The lower layer hardware

0:31:21.840 --> 0:31:24.520
<v Speaker 9>is off limits to venture investors, right that's the realm

0:31:24.560 --> 0:31:28.160
<v Speaker 9>of larger companies. The layer above that, the foundation models.

0:31:29.000 --> 0:31:33.240
<v Speaker 9>Those are also tough to invest in because they're more

0:31:33.320 --> 0:31:38.520
<v Speaker 9>like operating systems, which are tougher to monetize, than like databases,

0:31:38.520 --> 0:31:41.400
<v Speaker 9>which are easier to monetize. So the third layer, tools

0:31:41.400 --> 0:31:45.160
<v Speaker 9>and tool chains, is the best area for venture investors

0:31:45.160 --> 0:31:48.360
<v Speaker 9>to be investing in, but it's a hot mess. The

0:31:48.400 --> 0:31:52.000
<v Speaker 9>fourth layer, which is just using AI or leveraging AI,

0:31:52.600 --> 0:31:57.120
<v Speaker 9>that's been so far a bit easier for me to invest.

0:31:57.400 --> 0:32:00.360
<v Speaker 2>He keeps saying that it's a hot mess. Be an

0:32:00.360 --> 0:32:03.160
<v Speaker 2>opportunity or a way for you to navigate the hot

0:32:03.200 --> 0:32:07.360
<v Speaker 2>mess because you've raised a sizeable fund and the LPs

0:32:07.440 --> 0:32:10.480
<v Speaker 2>must back your vision to invest in that layer.

0:32:11.320 --> 0:32:15.200
<v Speaker 9>Yeah, there are a lot of great opportunities. There are

0:32:15.240 --> 0:32:18.360
<v Speaker 9>just so many companies that it's tough to weed through

0:32:19.440 --> 0:32:21.800
<v Speaker 9>all of them and find the right ones. And when

0:32:21.800 --> 0:32:24.640
<v Speaker 9>you find the right ones, the valuations are very high,

0:32:24.680 --> 0:32:28.160
<v Speaker 9>the rounds are very hot, they close fast, so it's

0:32:28.200 --> 0:32:31.840
<v Speaker 9>just tougher to prosecute. I do have half a dozen

0:32:31.960 --> 0:32:34.920
<v Speaker 9>or so seed investments in that area, but we'll see

0:32:34.920 --> 0:32:35.520
<v Speaker 9>how well they do.

0:32:35.560 --> 0:32:36.240
<v Speaker 3>But that's a good point.

0:32:36.280 --> 0:32:38.080
<v Speaker 2>So my next question would have been, well, at what

0:32:38.240 --> 0:32:41.960
<v Speaker 2>stage and where geographically are you finding my success?

0:32:42.120 --> 0:32:48.320
<v Speaker 9>Initially seed Series A, small checks and Series B, and

0:32:48.640 --> 0:32:54.120
<v Speaker 9>geographically US or world markets with an exception for India.

0:32:55.240 --> 0:32:58.880
<v Speaker 2>The other focus of the fund is crypto, and I'm

0:32:58.920 --> 0:33:02.680
<v Speaker 2>guessing crypto j and startups that they're working more likely

0:33:02.720 --> 0:33:06.760
<v Speaker 2>on the underlying technology. Is that right, well as opposed

0:33:06.760 --> 0:33:08.160
<v Speaker 2>to digital tokens themselves.

0:33:09.640 --> 0:33:12.320
<v Speaker 9>Well, yes, although sometimes the only way to invest in

0:33:12.360 --> 0:33:15.240
<v Speaker 9>the projects is to buy the token. Sometimes you buy

0:33:15.280 --> 0:33:20.120
<v Speaker 9>equity right and eventually the equity converts to tokens. But yeah,

0:33:20.160 --> 0:33:23.239
<v Speaker 9>to the extent that it is decentralized infrastructure. It's in

0:33:23.480 --> 0:33:27.000
<v Speaker 9>scope for me. Not all of crypto is infrastructure, though.

0:33:27.320 --> 0:33:31.880
<v Speaker 2>Three hundred and fifteen million dollars is a sizeable fund.

0:33:32.280 --> 0:33:35.840
<v Speaker 2>And I'm really interested in this economic environment, in this

0:33:36.000 --> 0:33:39.360
<v Speaker 2>rates environment, what the LPs look like. You know where

0:33:39.400 --> 0:33:42.560
<v Speaker 2>you were able to raise those funds from and how

0:33:42.680 --> 0:33:44.000
<v Speaker 2>quickly you were able to do it.

0:33:45.560 --> 0:33:50.480
<v Speaker 9>They were mostly institutional, so seventy seventy five percent is institutional,

0:33:50.720 --> 0:33:54.920
<v Speaker 9>and there's a long tail of family offices and individuals.

0:33:54.920 --> 0:33:58.160
<v Speaker 9>For the rest. There are four sovereign wealth funds. There's

0:33:58.200 --> 0:34:08.160
<v Speaker 9>one university endowment. The fundraising was not too bad, it

0:34:07.200 --> 0:34:09.120
<v Speaker 9>was it was pretty smooth.

0:34:09.840 --> 0:34:11.520
<v Speaker 3>Let's really quickly go back to AI.

0:34:11.880 --> 0:34:16.640
<v Speaker 2>You expressed your concerns about AI valuations right now, or

0:34:16.680 --> 0:34:20.400
<v Speaker 2>at least the impact of the interest in AI on valuations.

0:34:21.440 --> 0:34:23.799
<v Speaker 2>Do you feel like that that is something that will

0:34:23.840 --> 0:34:27.560
<v Speaker 2>continue throughout the year or investors have kind of had

0:34:27.600 --> 0:34:32.279
<v Speaker 2>their fill of the high multiple AI names that they've

0:34:32.320 --> 0:34:33.120
<v Speaker 2>gone into.

0:34:34.080 --> 0:34:37.680
<v Speaker 9>AI is a huge long term opportunity, it's going to

0:34:37.760 --> 0:34:42.160
<v Speaker 9>change everything. Everyone's going to leverage AI, and AI is

0:34:42.200 --> 0:34:47.919
<v Speaker 9>available to everybody through an API call. But short term,

0:34:47.960 --> 0:34:51.000
<v Speaker 9>I'm a little worried the positive sentiment makes me a

0:34:51.040 --> 0:34:57.760
<v Speaker 9>little nervous and hoping for the trough of disillusionment to

0:34:57.800 --> 0:35:00.759
<v Speaker 9>invest more. But I think beyond the traph of disillusionment,

0:35:00.960 --> 0:35:04.920
<v Speaker 9>it'll it'll be you know, it'll be an upcrend again.

0:35:05.760 --> 0:35:09.400
<v Speaker 2>An AI landscape that is a hot mess and underpinned

0:35:09.440 --> 0:35:12.640
<v Speaker 2>by a trough of disillusionment. Salil Deshpande, founder and general

0:35:12.680 --> 0:35:16.839
<v Speaker 2>partner of Uncorrelated Adventures, really appreciate that conversation.

0:35:17.440 --> 0:35:19.000
<v Speaker 3>Let's get a quick update.

0:35:19.200 --> 0:35:21.879
<v Speaker 2>Earlier in the show, we reported on open AI's court

0:35:21.920 --> 0:35:26.480
<v Speaker 2>filing calling must suit against them incoherent. During the show,

0:35:26.719 --> 0:35:31.080
<v Speaker 2>Musk emailed me his response to say, quote, open ai

0:35:31.719 --> 0:35:32.400
<v Speaker 2>is a lie.

0:35:32.440 --> 0:35:35.120
<v Speaker 3>And that's all that. His response to the story.

0:35:34.880 --> 0:35:46.120
<v Speaker 2>Said, Rent the Runway, a platform where customers can subscribe

0:35:46.280 --> 0:35:49.280
<v Speaker 2>rent items a la carte and shop resale from hundreds

0:35:49.280 --> 0:35:53.040
<v Speaker 2>of designer brands, is gifting one million dollars in free

0:35:53.040 --> 0:35:56.719
<v Speaker 2>subscriptions Throughout this Women's History Month, two women who have

0:35:56.800 --> 0:35:59.480
<v Speaker 2>recently reached a new milestone in their careers, such as

0:35:59.600 --> 0:36:03.360
<v Speaker 2>a promote job, successful launch, or new campaign.

0:36:03.480 --> 0:36:04.440
<v Speaker 3>Here are the details.

0:36:04.880 --> 0:36:08.160
<v Speaker 2>CEO Jennifer Hyman, and this is also a collaboration with

0:36:08.239 --> 0:36:12.160
<v Speaker 2>LinkedIn on the platform side, just explain why you're doing it.

0:36:13.640 --> 0:36:13.879
<v Speaker 3>Well.

0:36:13.960 --> 0:36:17.040
<v Speaker 10>I recently had an experience where I had my third child,

0:36:17.200 --> 0:36:23.200
<v Speaker 10>and it was fascinating because I received more personal congratulations

0:36:23.520 --> 0:36:28.200
<v Speaker 10>and love than when I ipo'd Runt the Runway back

0:36:28.239 --> 0:36:31.440
<v Speaker 10>in kind of twenty twenty one, and I started thinking

0:36:31.440 --> 0:36:34.440
<v Speaker 10>about the fact that within the context of our culture,

0:36:35.200 --> 0:36:38.480
<v Speaker 10>it is kind of part of the game that women

0:36:38.520 --> 0:36:42.960
<v Speaker 10>feel more comfortable sharing their personal milestones and personal accomplishments

0:36:43.040 --> 0:36:46.600
<v Speaker 10>than their professional ones. And given that we live in

0:36:46.640 --> 0:36:49.400
<v Speaker 10>a world that the more senior you get in an organization,

0:36:50.040 --> 0:36:53.600
<v Speaker 10>the more your ability to rise is based on your brand,

0:36:54.120 --> 0:36:58.319
<v Speaker 10>the stories that you yourself tell about yourself, and the

0:36:58.360 --> 0:37:01.600
<v Speaker 10>stories that others tell about you. This is a campaign

0:37:01.680 --> 0:37:05.240
<v Speaker 10>to encourage more women to feel comfortable sharing their professional

0:37:05.280 --> 0:37:08.520
<v Speaker 10>accomplishments on a platform like LinkedIn where it matters.

0:37:09.640 --> 0:37:11.600
<v Speaker 2>Jen, as you know and as I've disclosed on this

0:37:11.600 --> 0:37:14.319
<v Speaker 2>program before, we are a Rent the Runway household. My

0:37:14.360 --> 0:37:18.360
<v Speaker 2>wife is a longtime subscriber, user, customer of Rent the Runway.

0:37:18.719 --> 0:37:20.560
<v Speaker 2>But I think back to a year ago when you're

0:37:20.560 --> 0:37:23.560
<v Speaker 2>on the show in particularly in the summer of twenty

0:37:23.600 --> 0:37:27.799
<v Speaker 2>twenty three, you cut back on incentives and discounts like this,

0:37:27.920 --> 0:37:30.600
<v Speaker 2>and the logic you outlined at the time was that

0:37:30.719 --> 0:37:34.120
<v Speaker 2>those new users or subscribers that sign up in the

0:37:34.160 --> 0:37:37.520
<v Speaker 2>face of lower discount are likely to stay longer. So

0:37:37.600 --> 0:37:41.680
<v Speaker 2>what's the strategy here with this incentive in the context

0:37:41.719 --> 0:37:42.760
<v Speaker 2>of subscriber growth.

0:37:43.880 --> 0:37:47.680
<v Speaker 10>Our brand has always been known as really a power

0:37:47.719 --> 0:37:51.880
<v Speaker 10>tool for working women. So one of the main reasons

0:37:51.920 --> 0:37:54.279
<v Speaker 10>why someone signs up for rent the Runway is to

0:37:54.360 --> 0:37:59.120
<v Speaker 10>feel empowered and confident every single day at work. So

0:37:59.239 --> 0:38:03.040
<v Speaker 10>the fact now that women are going to be referring

0:38:03.680 --> 0:38:08.200
<v Speaker 10>their colleagues, their peers, their friends for an accolade that

0:38:08.239 --> 0:38:12.880
<v Speaker 10>they recently deserve in their career and to receive a

0:38:12.960 --> 0:38:16.759
<v Speaker 10>Rent the Runway subscription, we feel that this is exactly

0:38:16.840 --> 0:38:20.040
<v Speaker 10>how we want to bring our brand kind of back

0:38:20.040 --> 0:38:24.400
<v Speaker 10>into the universe and create momentum around our brand being

0:38:24.840 --> 0:38:26.839
<v Speaker 10>a brand that supports professional women.

0:38:27.840 --> 0:38:30.400
<v Speaker 2>When I posted on social media you were coming on

0:38:30.440 --> 0:38:33.200
<v Speaker 2>the show, a lot of people brought up a Newly

0:38:33.480 --> 0:38:35.799
<v Speaker 2>and they point out that this is a younger platform,

0:38:36.239 --> 0:38:37.160
<v Speaker 2>but it has more.

0:38:37.040 --> 0:38:40.319
<v Speaker 3>Subscribers than Rent the Runway has, and they.

0:38:40.239 --> 0:38:44.120
<v Speaker 2>Ask if you've learned any lessons from Newly and taken

0:38:44.160 --> 0:38:46.840
<v Speaker 2>anything from their experience that you think you might now

0:38:46.920 --> 0:38:48.080
<v Speaker 2>apply to Rent the Runway.

0:38:49.520 --> 0:38:53.960
<v Speaker 10>I think that it's incredible that a market that we

0:38:54.239 --> 0:38:59.600
<v Speaker 10>created around renting clothes is now a real market in

0:38:59.640 --> 0:39:03.280
<v Speaker 10>the US, that millions of women per year are renting

0:39:03.320 --> 0:39:07.400
<v Speaker 10>fashion subscribing to fashion, and there are different platforms and

0:39:07.440 --> 0:39:10.680
<v Speaker 10>different choices that provide different kinds of designer brands and

0:39:10.719 --> 0:39:14.880
<v Speaker 10>different aesthetics. Rent the Runway is about catering to a

0:39:14.920 --> 0:39:20.640
<v Speaker 10>woman who is accelerating in her career, who also you know,

0:39:20.719 --> 0:39:23.960
<v Speaker 10>wants to socialize, who is also traveling, who's trying to

0:39:24.000 --> 0:39:29.480
<v Speaker 10>optimize her own time. So I think that really focusing

0:39:29.560 --> 0:39:32.960
<v Speaker 10>in on who our core customer is this campaign being

0:39:33.280 --> 0:39:37.080
<v Speaker 10>a exemplifier of who that customer is is a critical

0:39:37.120 --> 0:39:41.239
<v Speaker 10>part of us continuing to grow and accelerate. I think

0:39:41.320 --> 0:39:44.719
<v Speaker 10>Newly has done a really great job at targeting, you know,

0:39:44.920 --> 0:39:47.720
<v Speaker 10>a significantly younger customer than Rent the Runway.

0:39:49.480 --> 0:39:56.800
<v Speaker 3>Jim, what's the AI story. We've Rent the Runway.

0:39:54.520 --> 0:39:59.120
<v Speaker 10>So AI is really an important part of how women

0:39:59.480 --> 0:40:03.000
<v Speaker 10>search for product on our site. We launched AI enabled

0:40:03.120 --> 0:40:06.680
<v Speaker 10>kind of search and styling earlier in the year that

0:40:07.040 --> 0:40:11.040
<v Speaker 10>enable women to have a long tail use case like

0:40:11.360 --> 0:40:14.319
<v Speaker 10>what should I wear to the tailors Swift concert and

0:40:14.400 --> 0:40:17.840
<v Speaker 10>to get back a whole host of suggestions that.

0:40:17.840 --> 0:40:19.839
<v Speaker 3>Are kind of tailor made for her.

0:40:20.400 --> 0:40:24.600
<v Speaker 10>So you'll see us continuing to iterate on styling in

0:40:24.680 --> 0:40:29.000
<v Speaker 10>general and search because part of our platform is about

0:40:29.200 --> 0:40:33.440
<v Speaker 10>offering discovery and enabling women to wear things that they

0:40:33.440 --> 0:40:37.120
<v Speaker 10>wouldn't otherwise buy. So AI is really a perfect compliment

0:40:37.160 --> 0:40:37.480
<v Speaker 10>to that.

0:40:38.480 --> 0:40:40.839
<v Speaker 2>Jen the final question from our audience, it's been tough

0:40:40.880 --> 0:40:43.000
<v Speaker 2>for rent the wrong way. The shares have had a

0:40:43.040 --> 0:40:47.040
<v Speaker 2>hard run. Would you consider taking the company private to

0:40:47.440 --> 0:40:49.320
<v Speaker 2>go away and kind of go back to growth.

0:40:50.719 --> 0:40:53.839
<v Speaker 10>So our focus is on driving the business to free

0:40:53.840 --> 0:40:58.920
<v Speaker 10>cash flow, profitability, and on making the right long term

0:40:58.960 --> 0:41:03.279
<v Speaker 10>decisions for this business. I think that what has really

0:41:03.280 --> 0:41:05.480
<v Speaker 10>been proven out over the last few years is that

0:41:05.600 --> 0:41:09.160
<v Speaker 10>Rendel is a real market. It is growing far quicker

0:41:09.160 --> 0:41:12.200
<v Speaker 10>than the overall fashion industry. There's millions of women who

0:41:12.239 --> 0:41:15.440
<v Speaker 10>now are comfortable and confident with signing up for a

0:41:15.440 --> 0:41:18.799
<v Speaker 10>subscription to fashion that was not the case even five

0:41:18.880 --> 0:41:23.319
<v Speaker 10>years ago. And so it's our responsibility to ensure that

0:41:23.680 --> 0:41:26.719
<v Speaker 10>this is a profitable, sustainable business and that we take

0:41:26.760 --> 0:41:29.880
<v Speaker 10>advantage of the market that we were a part in

0:41:29.960 --> 0:41:31.800
<v Speaker 10>creating rend.

0:41:31.640 --> 0:41:34.319
<v Speaker 2>The Runway CEO and founder Jennifer Hyman, great to have

0:41:34.360 --> 0:41:35.120
<v Speaker 2>you on the program.

0:41:35.160 --> 0:41:35.520
<v Speaker 3>Thank you.

0:41:35.680 --> 0:41:38.879
<v Speaker 2>That does it for this edition of Bloomberg Technology.

0:41:38.880 --> 0:41:39.680
<v Speaker 3>What a show it's been.

0:41:39.840 --> 0:41:42.200
<v Speaker 2>Check out the pod where you get your podcasts from

0:41:42.239 --> 0:41:42.960
<v Speaker 2>San Francisco.

0:41:43.640 --> 0:41:45.400
<v Speaker 3>This is Bloomberg Technology.