WEBVTT - Crypto-Based Lender Figure Joins IPO Frenzy

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio news. Bloomberg Tech is live

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<v Speaker 1>from coast to coast with Caroline Hide in New York

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<v Speaker 1>and Vla low in sentrances.

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<v Speaker 2>Go, this is Bloomberg Tech coming up hot week for IPOs.

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<v Speaker 2>After fintech company Klana yesterday, we look today to blockchain

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<v Speaker 2>lender Figure will be joined by its executive chairman.

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<v Speaker 3>Plus, Apple sentiment sours again with more analyst downgrades, the

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<v Speaker 3>lowest of five years.

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<v Speaker 4>We talk the stock price and iPhone price, and.

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<v Speaker 2>We speak with box CEO Aaron Levy, is the company

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<v Speaker 2>of bails new AI products at its annual Boxworks conference.

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<v Speaker 3>Let's check in on these markets because as we anticipate

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<v Speaker 3>in conversation on AI with Aaron Levy, we think about

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<v Speaker 3>how much AI stocks are supporting this market rally. We

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<v Speaker 3>are up for a seventh straight day on the Nazak

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<v Speaker 3>one hundred. We're in a new record high five tenths

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<v Speaker 3>of a percent. But you get underneath the index ed

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<v Speaker 3>and show us the individual's stocks to look at.

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<v Speaker 2>Yeah, some of the technology stories today are stock stories.

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<v Speaker 2>So mikecron got its price target raised at City. There

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<v Speaker 2>are other names in the streets saying Micron has earning

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<v Speaker 2>September twenty third. We talk a little bit about Oracle

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<v Speaker 2>and the momentum in the hyperscale as well memory Chip's

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<v Speaker 2>key to the data center. They see upside for that

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<v Speaker 2>Oracle had its best day since nineteen ninety two yesterday.

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<v Speaker 2>It is now giving back some of those gains down

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<v Speaker 2>a little bit. And then there's Klaner, a company that

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<v Speaker 2>iPod yesterday at forty.

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<v Speaker 5>Opened at fifty two.

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<v Speaker 2>I think I'm right in saying session high fifty seven

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<v Speaker 2>closed around forty five. Where we at we're at forty

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<v Speaker 2>five there or thereabouts. There's a lot more to discuss

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<v Speaker 2>on that IPO momentum, though correct.

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<v Speaker 4>No, it isn't this a perfect person to do it with.

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<v Speaker 3>Bloomberg's Aishagani joins us you cover Klan I have done

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<v Speaker 3>for years, spoken a lot with the AI version of

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<v Speaker 3>the CEO and the CEO himself.

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<v Speaker 4>I share.

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<v Speaker 3>I'm just interested as to what you deem as the

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<v Speaker 3>success story of yesterday's listing in the performance today.

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<v Speaker 6>Absolutely just to set the scene. With Sequoia, who have

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<v Speaker 6>of course invested in Kana for a long time, they

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<v Speaker 6>made a two point seven billion dollar windfall and over

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<v Speaker 6>the years, they had invested around five hundred million, which

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<v Speaker 6>kind of indicates that when Karna popped yesterday, a lot

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<v Speaker 6>of investors were quite happy. Others had held on to

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<v Speaker 6>their onto their shares while others sold so it was

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<v Speaker 6>extremely successful day, but we yet to see how things

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<v Speaker 6>will pan out.

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<v Speaker 2>One of the things that we discussed with the company

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<v Speaker 2>CEO yesterday on the program was the idea that this

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<v Speaker 2>isn't just a buy now, pay later name. They want

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<v Speaker 2>to be this kind of everything app and when a

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<v Speaker 2>company IPOs, it's not always about raising money, like you

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<v Speaker 2>just pointed out, it's about getting the name out there.

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<v Speaker 2>Do you get a sense I show that that story

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<v Speaker 2>is resonating that Klana is so much more than buy now,

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<v Speaker 2>pay later.

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<v Speaker 6>I'm sure as many of your viewers would have seen

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<v Speaker 6>yesterday across Ford Street and of Macy's, they would have

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<v Speaker 6>seen the Kana banner draping many of New York's hotspots.

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<v Speaker 6>But I suppose what's been fascinating about their story is

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<v Speaker 6>this is a European fintech and it is now global.

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<v Speaker 6>Their largest market is in the US, and a lot

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<v Speaker 6>of people will be quite familiar with Klana at checkout

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<v Speaker 6>when they're shopping, and of course now Klana is going

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<v Speaker 6>into banking and that's basically the next big push in

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<v Speaker 6>order to keep those customers.

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<v Speaker 4>On the app for longer.

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<v Speaker 3>Look, it is a success story for European VC, for

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<v Speaker 3>European tech, and all eyes on Revolute now the UK

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<v Speaker 3>success story, it has a much bigger evaluation in the

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<v Speaker 3>private market.

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<v Speaker 6>I'm glad you raised Revolue.

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<v Speaker 4>Last week.

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<v Speaker 6>I was reporting that Revlue is now engaging its staff

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<v Speaker 6>in a semi twenty five billion dollar share sale and

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<v Speaker 6>which is absolutely staggering when you think about it. But

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<v Speaker 6>of course Klana has been private for twenty years now,

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<v Speaker 6>so it's an indication of where private firms like Revolute

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<v Speaker 6>and Klana are thinking in terms of next steps. Will

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<v Speaker 6>definitely be eyeing this.

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<v Speaker 7>Of course, Klana.

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<v Speaker 6>Has iPod on the New York Stock Exchange and a

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<v Speaker 6>lot of these firms are still deciding where to go.

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<v Speaker 6>But I'm sure a lots of them will be looking

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<v Speaker 6>at the Klana CEO Sebastian Simikowski and the sort of

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<v Speaker 6>media attention that he had received and also the investor

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<v Speaker 6>sentiment as well, and would be hoping that they could

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<v Speaker 6>capture some of that too Bloomberg.

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<v Speaker 2>Zai Shighani, thank you very much. So let's bring Anna

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<v Speaker 2>Rathburn on broader tech market. She's the CEO and founder

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<v Speaker 2>of wealth management firm Grenadilla Advisory.

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<v Speaker 5>And you heard what I had to say, right.

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<v Speaker 2>You know, it's been several consecutive weeks and months of

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<v Speaker 2>interesting ipo, many of them fintech related. Is there a

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<v Speaker 2>broader signal that you've taken in the investor response to

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<v Speaker 2>those IPOs?

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<v Speaker 8>Anna, Yeah, good morning. I think it's nice to see

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<v Speaker 8>fintech IPOs, and I think it's also nice to see

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<v Speaker 8>tech stories that are not necessarily AI related. These are

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<v Speaker 8>fintech companies that are coming in the line to actually

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<v Speaker 8>directly interact with the consumers. And if we pay attention

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<v Speaker 8>to what the CEO said yesterday, it was really about

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<v Speaker 8>revolutionizing the way people actually fund their purchases. And I

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<v Speaker 8>think some of this is very refreshing. I think we're

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<v Speaker 8>going to have to have a lot of creative ideas

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<v Speaker 8>like that one in order for investors to get excited,

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<v Speaker 8>because right now all the attention seems to be on AI.

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<v Speaker 2>And a specific to Klana is the discussion about going

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<v Speaker 2>public versus staying private, like some of their peers did,

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<v Speaker 2>and we discussed on the program the merits of staying private,

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<v Speaker 2>what it does for some of Clona's peers, like Revolute.

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<v Speaker 2>But on the other side of the table, what kind

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<v Speaker 2>of a signal is it that a company is choosing

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<v Speaker 2>to go public in this environment? What does it tell

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<v Speaker 2>you about the health of public markets for technology in America.

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<v Speaker 8>Yeah, I think it's okay for companies to stay private,

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<v Speaker 8>And frankly, this has been a trend for a very

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<v Speaker 8>long time. This isn't anything new and it's okay because, frankly,

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<v Speaker 8>a lot of the innovation, especially on the AI front,

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<v Speaker 8>that is taking place, it's so new and so experimental

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<v Speaker 8>that if you have those companies ipo too early, we

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<v Speaker 8>may have something like the nineteen nineties tech bubble, where

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<v Speaker 8>you know, the cash flow isn't a steady it's not

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<v Speaker 8>as stable, and then you have a crash, right and

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<v Speaker 8>everything is done on hope. So I actually don't mind companies,

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<v Speaker 8>especially tech companies that are innovating and doing something very new,

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<v Speaker 8>staying private for longer, and then after they have stabilized

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<v Speaker 8>and have they're big enough to enter the io market.

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<v Speaker 8>For the health of the retail investors, especially.

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<v Speaker 3>What's fascinating is going back to the nineties. Yesterday Oracle

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<v Speaker 3>had its biggest chev move in the night sense the nineties,

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<v Speaker 3>and we saw significant value accretion not just for the

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<v Speaker 3>shareholders but the main owner of those shares, who is

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<v Speaker 3>the co founder, Larry Ellison, now the world's wealthiest ana.

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<v Speaker 3>What do you make of the love being shown for

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<v Speaker 3>the companies that can add to the infrastructure build out here?

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<v Speaker 8>Yeah, and this has to do with the things that

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<v Speaker 8>everybody is concerned about, which is a concentration.

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<v Speaker 7>In the S and P five hundred.

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<v Speaker 8>It is made up of mega, mega tech stacks and frankly,

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<v Speaker 8>if you think about what it takes to build infrastructure,

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<v Speaker 8>to build the picks and shovels, it takes a very

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<v Speaker 8>very big check. And these aren't things that venture companies

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<v Speaker 8>can do. These aren't things that small companies can do

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<v Speaker 8>and put on their balance sheet. These are things that big,

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<v Speaker 8>big companies can do. So I think invest are pouring

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<v Speaker 8>out their love for all these big companies that are

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<v Speaker 8>building the infrastructure because down the line, we don't know when,

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<v Speaker 8>but down the line the timeline we're expecting to see

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<v Speaker 8>the software companies really innovate and develop and bring out

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<v Speaker 8>more than proof of concept and utilize these hardware and infrastructure.

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<v Speaker 3>I mean, we need to see that because salesfills down

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<v Speaker 3>on the year, Adobe has been suffering, and we've got

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<v Speaker 3>the earnings after the Ballana.

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<v Speaker 8>Yeah, we do need to see it, and I think

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<v Speaker 8>the investors need to sort of fine tune their expectations

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<v Speaker 8>and maybe start with dividing out hardware from software. Hardware

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<v Speaker 8>we already know, we're very, very excited software. I think

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<v Speaker 8>investors need to be a little bit more patient. What

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<v Speaker 8>I see down the line potentially is, and really down

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<v Speaker 8>the line, is that some of these venture companies will

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<v Speaker 8>be successful in innovating and bringing out software that actually

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<v Speaker 8>works and is reliable, and probably companies like Salesforce will

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<v Speaker 8>end up acquiring them to incorporate them into their infrastructure.

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<v Speaker 5>I know we're jumping around a bit with you, but

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<v Speaker 5>we're enjoying it.

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<v Speaker 2>You have a great command of everything across hardware and software,

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<v Speaker 2>and is that not the world of technology?

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<v Speaker 5>So I'm going to ask you about Micron.

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<v Speaker 2>The market has a lot of enthusiasm for Micron, and

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<v Speaker 2>they're just extrapolating from everything that's happened so far. Micron

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<v Speaker 2>reports earnings on September twenty third. It's a memory chip maker,

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<v Speaker 2>and the market's logic seems to be, well, if every

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<v Speaker 2>other part of the data center story is booming, micro

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<v Speaker 2>must be experiencing the same. Is that a typical behavior

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<v Speaker 2>in markets that you see that kind of logic?

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<v Speaker 7>You know?

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<v Speaker 8>I think it is because it's sort of the tie

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<v Speaker 8>that lifts all boats, type of a mentality. It's not

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<v Speaker 8>unlike to, oh, interest rates are falling, the FED is

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<v Speaker 8>going to cut rates, Let's buy everything. And so I

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<v Speaker 8>think in tech, as long as AI is still a

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<v Speaker 8>little bit nebulous in terms of what we're expecting, I

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<v Speaker 8>think you can expect that.

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<v Speaker 4>And that's why this.

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<v Speaker 8>AI train and tech train is a really hard thing

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<v Speaker 8>to stop, even going into the fall in what historically

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<v Speaker 8>is a difficult year, difficult time for stock market.

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<v Speaker 2>What happens next? This is my favorite question to end

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<v Speaker 2>a segment quickly. Balance of the year in tech?

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<v Speaker 8>Yeah, I think rates cutting, Yeah, it's great for markets,

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<v Speaker 8>but tech is going to go up anyway. I think

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<v Speaker 8>the AI story is very very strong. I do think

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<v Speaker 8>that there is a risk still that we're not talking

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<v Speaker 8>about necessarily because It's been a while since China and

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<v Speaker 8>the negotiations on tariffs have been on the docket for discussion.

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<v Speaker 8>It's been very, very quiet and in the background. Now,

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<v Speaker 8>what happens in November with the Supreme Court, I think

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<v Speaker 8>could be a risk. It's a binary risk, but I

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<v Speaker 8>think I don't think the tech market is without its

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<v Speaker 8>hurtles going into the end.

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<v Speaker 4>Of the year.

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<v Speaker 3>Anna Rathman, I've gone into the advisory It's so great

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<v Speaker 3>to have you back on the show. We appreciate it.

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<v Speaker 3>And coming up another day with an upsized typo. We're

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<v Speaker 3>going to be talking with Mike Cagney, co found running

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<v Speaker 3>exective chairman of blockchain based lender Figure as a company

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<v Speaker 3>goes public as a.

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<v Speaker 4>Bloomberg tech.

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<v Speaker 2>The ipo market is proving strong this year. Take a

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<v Speaker 2>look at some of the largest IPOs of twenty twenty

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<v Speaker 2>five so far. Blockchain based Figure is next up and

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<v Speaker 2>the company and investors raise seven hundred and eighty seven

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<v Speaker 2>point five million dollars it shares the set to begin

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<v Speaker 2>trading today. Figure co founder and executive chairman Mike Cagney

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<v Speaker 2>joins US from the Nasdaq. We've also got Tim Senovik

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<v Speaker 2>with US, host of Bloomberg Crypto as well, Mike, where

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<v Speaker 2>we stand shares indicated to open at thirty four dollars.

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<v Speaker 2>You price the IPO at twenty five. But there's intense

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<v Speaker 2>interest in figure for two reasons, you've elected to go public,

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<v Speaker 2>so we want to understand the rationale. But there's also

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<v Speaker 2>this mechanism where you, as a founder or co founder

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<v Speaker 2>retain a lot of control to explain the logic behind

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<v Speaker 2>those two points.

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<v Speaker 9>Sure, I think starting with the latter point, you know,

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<v Speaker 9>obviously there's a lot of empirical research that shows that

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<v Speaker 9>founder leg companies outperform, and it's important to keep that

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<v Speaker 9>founder DNA within the business. You know, I'm fortunate to

0:12:13.200 --> 0:12:15.199
<v Speaker 9>have a partner with Mike tan Obama CEO, where we've

0:12:15.200 --> 0:12:17.680
<v Speaker 9>worked together before and we have a huge amount of synergy.

0:12:18.280 --> 0:12:20.640
<v Speaker 9>But you know, obviously being able to drive product direction

0:12:20.720 --> 0:12:23.360
<v Speaker 9>and innovation for Figures is very important for me and

0:12:23.440 --> 0:12:25.959
<v Speaker 9>something I can continue to add value for I think,

0:12:26.080 --> 0:12:28.320
<v Speaker 9>you know, as it relates to the IPO. You know,

0:12:28.360 --> 0:12:30.760
<v Speaker 9>what we've done in a very different way is used

0:12:30.760 --> 0:12:33.800
<v Speaker 9>real world access or real world assets within blockchain. So

0:12:34.240 --> 0:12:36.640
<v Speaker 9>we started originating loans on blockchain in twenty eighteen. We

0:12:36.640 --> 0:12:38.839
<v Speaker 9>were on the first entities to do that. We've done

0:12:38.840 --> 0:12:42.160
<v Speaker 9>over seventeen billion dollars of loan origination on public chain,

0:12:42.200 --> 0:12:45.240
<v Speaker 9>over fifty five billion dollars of transactions, and we've been

0:12:45.280 --> 0:12:49.079
<v Speaker 9>able to build a very profitable, rapidly growing company in

0:12:49.120 --> 0:12:51.559
<v Speaker 9>the last four years, which have been incredibly difficult from

0:12:51.559 --> 0:12:54.959
<v Speaker 9>a regulatory standpoint. So going public now in a situation

0:12:55.000 --> 0:12:57.000
<v Speaker 9>where the public market is now opening up to the

0:12:57.040 --> 0:12:59.880
<v Speaker 9>opportunity at blockchain, you know, I view it and now

0:13:00.240 --> 0:13:02.440
<v Speaker 9>so there's a magnificent seven and Web two point zero,

0:13:02.480 --> 0:13:04.280
<v Speaker 9>I think there's going to be the equivalent in Web

0:13:04.280 --> 0:13:06.760
<v Speaker 9>three point zero. I think we're one of those companies,

0:13:06.760 --> 0:13:09.040
<v Speaker 9>and so we're very excited to be going in public today.

0:13:09.320 --> 0:13:12.480
<v Speaker 3>At the NASDAC and the NASDAK itself, Mike is pushing

0:13:12.520 --> 0:13:16.880
<v Speaker 3>towards those tokenized real world assets in the form of equities.

0:13:17.080 --> 0:13:19.000
<v Speaker 3>How much of a tailwind is that going to be

0:13:19.040 --> 0:13:20.760
<v Speaker 3>to the business, So how much you want to actually

0:13:20.840 --> 0:13:21.640
<v Speaker 3>own that space?

0:13:22.400 --> 0:13:24.599
<v Speaker 9>Yeah, I think equities is the next big area we

0:13:24.640 --> 0:13:26.800
<v Speaker 9>want to lean in on. So obviously we've done an

0:13:26.920 --> 0:13:28.960
<v Speaker 9>enormous amount of work in the private credit space and

0:13:29.000 --> 0:13:32.200
<v Speaker 9>brought the benefits of blockchain into that ecosystem through liquidity

0:13:32.400 --> 0:13:35.280
<v Speaker 9>and financing capabilities. But equities are the next thing we

0:13:35.360 --> 0:13:37.360
<v Speaker 9>want to lean in to do. And I think one

0:13:37.400 --> 0:13:39.480
<v Speaker 9>of the things that we're exploring is the ability for

0:13:39.520 --> 0:13:42.640
<v Speaker 9>figure to do a second fast follow issuance of stock,

0:13:42.720 --> 0:13:45.880
<v Speaker 9>but do it native to blockchain, not as a DTCC security,

0:13:46.400 --> 0:13:49.880
<v Speaker 9>and that introduces some efficiencies and introduces some liquidity benefits,

0:13:49.920 --> 0:13:52.400
<v Speaker 9>but I think most importantly for the buyside, it introduces

0:13:52.400 --> 0:13:55.400
<v Speaker 9>the ability to control your stock for stock loan, and

0:13:55.480 --> 0:13:57.480
<v Speaker 9>I think that's a huge differentiator over the way that

0:13:57.520 --> 0:13:58.599
<v Speaker 9>we do things historically.

0:13:58.760 --> 0:14:00.400
<v Speaker 3>And Mike, how do you want to be the owners

0:14:00.760 --> 0:14:03.080
<v Speaker 3>either the token ised sequities or in the equity more broadly,

0:14:03.160 --> 0:14:05.360
<v Speaker 3>have you looking to the real retail community or is

0:14:05.400 --> 0:14:06.959
<v Speaker 3>this much more about institutional holding.

0:14:08.040 --> 0:14:10.040
<v Speaker 9>Look, one of the things I really like about blockchain

0:14:10.080 --> 0:14:12.680
<v Speaker 9>is it's a great leveling force. It's a democratization of

0:14:12.679 --> 0:14:15.920
<v Speaker 9>financial services. And so, you know, we gave retail one

0:14:15.920 --> 0:14:18.000
<v Speaker 9>of the largest allocations of the IPO. I think that

0:14:18.120 --> 0:14:20.960
<v Speaker 9>maybe anyone's ever done because of how important retail is

0:14:21.000 --> 0:14:23.760
<v Speaker 9>to us, and so you know, we view that as

0:14:23.760 --> 0:14:26.120
<v Speaker 9>an integral part of the ecosystem that we're building out

0:14:26.400 --> 0:14:28.680
<v Speaker 9>That doesn't mean that the institutions aren't equally important. We

0:14:28.680 --> 0:14:30.600
<v Speaker 9>have over one hundred and seventy partners that use our

0:14:30.640 --> 0:14:33.120
<v Speaker 9>tech to originate assets on chain, and they're critical to

0:14:33.160 --> 0:14:36.480
<v Speaker 9>our growth and success. But retail is very much right

0:14:36.480 --> 0:14:38.920
<v Speaker 9>down the center of the area of focus for us.

0:14:39.200 --> 0:14:41.600
<v Speaker 10>Mike, considering the success that you've had with on chain

0:14:41.640 --> 0:14:47.200
<v Speaker 10>loan origination and using AI to quickly approve these loans digitally,

0:14:47.640 --> 0:14:51.520
<v Speaker 10>what's going to stop a traditional financial institution coming in

0:14:51.600 --> 0:14:53.720
<v Speaker 10>and doing the same thing. What's your mode here?

0:14:54.120 --> 0:14:56.400
<v Speaker 9>Yeah, I think the biggest mode is the liquity that

0:14:56.440 --> 0:14:59.119
<v Speaker 9>we've been able to build within the ecosystem, the marketplace

0:14:59.160 --> 0:15:01.680
<v Speaker 9>that we have we call it Figure Connect, and for

0:15:01.720 --> 0:15:04.480
<v Speaker 9>the first time, we're allowing originators to be able to

0:15:04.480 --> 0:15:08.160
<v Speaker 9>directly access capital outside of the GSS, outside of Fanny

0:15:08.160 --> 0:15:11.000
<v Speaker 9>and Freddie, where they can sell forward production, guarantee pricing,

0:15:11.040 --> 0:15:14.400
<v Speaker 9>guarantee liquidity. That's a huge moat. I think that's going

0:15:14.400 --> 0:15:17.760
<v Speaker 9>to become very pressing as the Stable Coin Act begins

0:15:17.800 --> 0:15:21.360
<v Speaker 9>to take effect and you start to see deposit flight

0:15:21.400 --> 0:15:23.720
<v Speaker 9>out of banks into coin. Banks are going to be

0:15:23.760 --> 0:15:25.600
<v Speaker 9>stressed in the liability side. They're not going to have

0:15:25.600 --> 0:15:27.960
<v Speaker 9>their balance sheet the way they historically have, and I

0:15:27.960 --> 0:15:30.840
<v Speaker 9>think that's where blockchain and in particular decentralized finance can

0:15:30.840 --> 0:15:33.520
<v Speaker 9>step in and fill that void. And so I don't

0:15:33.560 --> 0:15:35.800
<v Speaker 9>see so much people trying to replicate the model, but

0:15:35.920 --> 0:15:38.520
<v Speaker 9>leverage the economy of scale that's there and actually lean

0:15:38.560 --> 0:15:39.360
<v Speaker 9>in and be part of it.

0:15:39.600 --> 0:15:43.120
<v Speaker 10>No question, crypto assets have absolutely had a moment over

0:15:43.160 --> 0:15:45.480
<v Speaker 10>the last year. A big part of that has to

0:15:45.520 --> 0:15:48.840
<v Speaker 10>do with this administration. But crypto winter is not too

0:15:48.880 --> 0:15:52.760
<v Speaker 10>far into recent memory. What happens to figure during the

0:15:52.800 --> 0:15:55.240
<v Speaker 10>next crypto winter? What do investors need to know about

0:15:55.280 --> 0:15:56.440
<v Speaker 10>how you sustain.

0:15:56.560 --> 0:15:59.720
<v Speaker 9>Yeah, Look, crypto is obviously integral to the workings of

0:16:00.040 --> 0:16:03.080
<v Speaker 9>book blockchains. It allows for the decentralization of the networks.

0:16:03.440 --> 0:16:05.800
<v Speaker 9>We are very much a blockchain company, and so what

0:16:05.840 --> 0:16:10.080
<v Speaker 9>we're doing is bring the transactional efficiency, liquidity and financing

0:16:10.080 --> 0:16:13.680
<v Speaker 9>benefits of blockchain into every asset. So we're somewhat immune

0:16:13.680 --> 0:16:16.160
<v Speaker 9>from the volatility of the price of crypto and bitcoin

0:16:16.200 --> 0:16:19.320
<v Speaker 9>in particular. You know, obviously we're involved in those markets,

0:16:19.360 --> 0:16:21.320
<v Speaker 9>but we're a little more insulated and a little more

0:16:21.320 --> 0:16:25.080
<v Speaker 9>exposed to traditional finance. But on a web three construct.

0:16:24.840 --> 0:16:29.040
<v Speaker 3>Mike You've obviously created a liquidity moment for you for employees.

0:16:29.280 --> 0:16:32.840
<v Speaker 3>You're also raising funds potentially to make acquisitions where would

0:16:32.880 --> 0:16:33.720
<v Speaker 3>be a useful addition.

0:16:34.600 --> 0:16:38.480
<v Speaker 9>Certainly, the blockchain space, in the crypto space is generally subscale,

0:16:38.920 --> 0:16:42.040
<v Speaker 9>so there's an enormous amount of consolidation. I like to

0:16:42.120 --> 0:16:45.920
<v Speaker 9>view the raising of this capital analogous to a last company.

0:16:45.960 --> 0:16:48.240
<v Speaker 9>I raised a billion dollars of capital, was the largest

0:16:48.240 --> 0:16:51.160
<v Speaker 9>private raise ever done. I raised it from SoftBank, and

0:16:51.280 --> 0:16:53.720
<v Speaker 9>it ended up being an enormous competitive advantage for us

0:16:53.720 --> 0:16:55.360
<v Speaker 9>in the balance sheet in terms of our ability to

0:16:55.400 --> 0:16:58.200
<v Speaker 9>take risks that our competitors couldn't. I viewed that analogous

0:16:58.200 --> 0:17:00.680
<v Speaker 9>here as well. It's really having that balance sheet to

0:17:00.760 --> 0:17:03.080
<v Speaker 9>lean in and do some really disruptive work in blockchain

0:17:03.120 --> 0:17:04.560
<v Speaker 9>and crypto over the next several years.

0:17:04.840 --> 0:17:07.240
<v Speaker 10>You said you want to do a second fast follow.

0:17:07.320 --> 0:17:09.080
<v Speaker 10>You also said in the S one that you plan

0:17:09.200 --> 0:17:13.120
<v Speaker 10>to use some of the proceeds from this IPO for acquisitions. Specifically,

0:17:13.160 --> 0:17:13.720
<v Speaker 10>what are those.

0:17:14.520 --> 0:17:16.960
<v Speaker 9>We don't have any specific acquisition and in line right now,

0:17:17.000 --> 0:17:20.040
<v Speaker 9>we're looking at the market. We're always open to those conversations. Again,

0:17:20.080 --> 0:17:22.240
<v Speaker 9>it's a subscale space, so there's an enormous amount of

0:17:22.280 --> 0:17:25.000
<v Speaker 9>opportunity out there, but you know, we're very focused on

0:17:25.040 --> 0:17:26.280
<v Speaker 9>just core execution right now.

0:17:27.000 --> 0:17:30.000
<v Speaker 3>Mike Cagney, so good to have you co founder executive

0:17:30.040 --> 0:17:32.280
<v Speaker 3>chair for Figure along with our own Timsteentivic.

0:17:32.760 --> 0:17:34.480
<v Speaker 4>Thank you. And then you've got some breaking news.

0:17:35.359 --> 0:17:38.400
<v Speaker 2>Yeah, we do have some breaking news crossing the Bloomberg terminal.

0:17:38.680 --> 0:17:42.880
<v Speaker 2>Hyundai has decided to delay the construction of a battery

0:17:42.920 --> 0:17:47.000
<v Speaker 2>plant in Georgia following a raid by the United States,

0:17:47.240 --> 0:17:49.800
<v Speaker 2>which was part of a broader effort you'll remember, to

0:17:49.920 --> 0:17:54.560
<v Speaker 2>crack down on undocumented workers. Hyundai has communicated its decision

0:17:54.840 --> 0:17:57.080
<v Speaker 2>to delay the construction of that Georgia plant in an

0:17:57.119 --> 0:18:02.040
<v Speaker 2>interview with Bloomberg, which was with the CEO Josimonnos. He's

0:18:02.080 --> 0:18:04.960
<v Speaker 2>basically saying that there is a plan still for the

0:18:05.040 --> 0:18:07.879
<v Speaker 2>JV which is between Hyundai and LG, to resume in

0:18:07.920 --> 0:18:10.440
<v Speaker 2>two to three months, and that the plant will need

0:18:10.560 --> 0:18:13.720
<v Speaker 2>new workers to resume construction. But for now, that is

0:18:13.720 --> 0:18:17.000
<v Speaker 2>the breaking news headline from Bloomberg. The Hyundai in a

0:18:17.080 --> 0:18:20.760
<v Speaker 2>JV with LG has decided to delay construction in Georgia

0:18:20.800 --> 0:18:25.200
<v Speaker 2>following that US raid, which was on September the eighth,

0:18:25.200 --> 0:18:26.400
<v Speaker 2>you'll remember Kroen.

0:18:26.359 --> 0:18:28.320
<v Speaker 4>Such an important geopolitical story.

0:18:28.480 --> 0:18:38.080
<v Speaker 2>D Apple getting hit with a pair of downgrades today

0:18:38.119 --> 0:18:40.960
<v Speaker 2>at DA Davidson and Philip Security is the latest sign

0:18:41.000 --> 0:18:44.080
<v Speaker 2>a bit of caution toward the iPhone maker, which has

0:18:44.119 --> 0:18:47.480
<v Speaker 2>sharply underperformed it's large cap tech piers this year. It's

0:18:47.480 --> 0:18:49.520
<v Speaker 2>off the back of its new iPhone lineup launch earlier

0:18:49.560 --> 0:18:52.960
<v Speaker 2>this week. Bloomberg's consumer tech managing editor Mark German is

0:18:53.000 --> 0:18:56.159
<v Speaker 2>back and joins us for more. There's so much analysis

0:18:56.160 --> 0:18:58.240
<v Speaker 2>that needs to be done on the line up of

0:18:58.280 --> 0:19:02.840
<v Speaker 2>the iPhone seventeen. It's technological capabilities, but also it's price points.

0:19:03.359 --> 0:19:05.000
<v Speaker 5>And in your latest.

0:19:05.000 --> 0:19:08.359
<v Speaker 2>You write simply that this might be Apple getting us

0:19:08.480 --> 0:19:11.840
<v Speaker 2>ready for the idea of a two thousand dollars handset,

0:19:12.040 --> 0:19:14.720
<v Speaker 2>which you just explained the reporting and argument you're making.

0:19:16.240 --> 0:19:18.560
<v Speaker 11>Of course, so for the first time in the US,

0:19:18.640 --> 0:19:22.280
<v Speaker 11>Apple's offering a two thousand dollars tier of the iPhone.

0:19:22.359 --> 0:19:26.040
<v Speaker 11>It's a niche device, it's the iPhone seventeen promacs with

0:19:26.160 --> 0:19:29.919
<v Speaker 11>two terabytes of storage. But the point I'm really making,

0:19:30.040 --> 0:19:32.040
<v Speaker 11>beyond the fact that there is now a two thousand

0:19:32.080 --> 0:19:35.120
<v Speaker 11>dollars tier, is that we are getting towards the era

0:19:35.280 --> 0:19:38.560
<v Speaker 11>of two thousand dollars phones. Anyways, look at the pricing

0:19:38.600 --> 0:19:41.080
<v Speaker 11>for this year's models. They did not raise the prices.

0:19:41.160 --> 0:19:44.399
<v Speaker 11>I think two reasons. One Samsung and Google didn't, so

0:19:44.440 --> 0:19:46.239
<v Speaker 11>it would be really hard for Apple to do so

0:19:46.280 --> 0:19:49.119
<v Speaker 11>in a meaningful way. Two of the tariffs really haven't

0:19:49.200 --> 0:19:50.919
<v Speaker 11>kicked in for Apple yet, so it would be a

0:19:50.960 --> 0:19:53.679
<v Speaker 11>bad look for them to raise prices two to tariffs

0:19:53.720 --> 0:19:55.400
<v Speaker 11>when the tariffs haven't even started.

0:19:55.800 --> 0:19:58.040
<v Speaker 7>The reality is these phone tariffs will kick in.

0:19:58.000 --> 0:20:01.000
<v Speaker 11>At some point, and so I'm not room Apple raising

0:20:01.080 --> 0:20:04.520
<v Speaker 11>prices later when the prices actually have to be adjusted

0:20:04.520 --> 0:20:07.119
<v Speaker 11>for Apple to retain its margins, and that is probably

0:20:07.160 --> 0:20:09.200
<v Speaker 11>going to bring the phone up a couple hundred bucks, right,

0:20:09.680 --> 0:20:12.080
<v Speaker 11>And then you look at next year. Next year they're

0:20:12.080 --> 0:20:16.000
<v Speaker 11>going to release their first foldable. Samsung's foldable already costs

0:20:16.040 --> 0:20:19.240
<v Speaker 11>over two thousand dollars. The iPhone Air, which is essentially

0:20:19.400 --> 0:20:23.280
<v Speaker 11>as the foldable, maybe less, that costs one thousand dollars.

0:20:23.600 --> 0:20:26.640
<v Speaker 11>So you can put pretty good money on the idea

0:20:26.960 --> 0:20:30.199
<v Speaker 11>that Apple will be launching a base price two thousand

0:20:30.280 --> 0:20:33.520
<v Speaker 11>dollars iPhone twelve months from now. And then you look

0:20:33.560 --> 0:20:37.960
<v Speaker 11>beyond twenty twenty seven to twenty anniversary iPhone, the glass wing,

0:20:38.200 --> 0:20:42.040
<v Speaker 11>it's all glass, it has translucency, much more advanced technologies,

0:20:42.480 --> 0:20:46.040
<v Speaker 11>very similar concept to one thousand dollars iPhone ten in

0:20:46.240 --> 0:20:47.160
<v Speaker 11>twenty seventeen.

0:20:47.520 --> 0:20:50.960
<v Speaker 7>You're going to see price increases there too. So maybe the.

0:20:50.920 --> 0:20:54.080
<v Speaker 11>Two thousand dollars iPhone because it's the highest tier two

0:20:54.119 --> 0:20:57.399
<v Speaker 11>terabyte model this year, may seem like a joke, but

0:20:58.000 --> 0:20:59.280
<v Speaker 11>it will happen.

0:20:59.080 --> 0:21:01.119
<v Speaker 7>In the next twelve twenty four months regardless.

0:21:01.240 --> 0:21:03.439
<v Speaker 3>And maybe Mark that's what analysts need to see to

0:21:03.560 --> 0:21:05.800
<v Speaker 3>really start to get excited about the stock again from

0:21:05.800 --> 0:21:08.919
<v Speaker 3>a profitability perspective, because at the moment, with these two downgrades,

0:21:08.960 --> 0:21:12.240
<v Speaker 3>looking at gil Luria saying basically we were left uninspired,

0:21:12.560 --> 0:21:14.959
<v Speaker 3>it feels as though they haven't managed to garner much

0:21:15.000 --> 0:21:16.040
<v Speaker 3>excitement this time round.

0:21:17.359 --> 0:21:20.240
<v Speaker 11>Yeah, you know, I rarely agree with the Wall Street analysts,

0:21:20.240 --> 0:21:23.000
<v Speaker 11>and I will hold to that. I actually think that

0:21:23.040 --> 0:21:26.000
<v Speaker 11>this year's iPhones are going to sell incredibly well.

0:21:26.040 --> 0:21:28.639
<v Speaker 7>As I've said many times on this program and elsewhere.

0:21:28.800 --> 0:21:32.480
<v Speaker 7>What really sells new iPhones is the design. The orange color.

0:21:32.680 --> 0:21:33.199
<v Speaker 7>I like it.

0:21:33.280 --> 0:21:36.399
<v Speaker 11>Some may find it ridiculous, but don't discount it. Don't

0:21:36.400 --> 0:21:39.960
<v Speaker 11>discount Apple's marketing around dat device and how new it is,

0:21:40.000 --> 0:21:41.720
<v Speaker 11>the aluminum unibody.

0:21:41.400 --> 0:21:41.919
<v Speaker 12>You name it.

0:21:41.960 --> 0:21:45.439
<v Speaker 11>The functionality may not be much different, but it looks different,

0:21:45.600 --> 0:21:47.639
<v Speaker 11>and then that's going to be good enough to spur sales.

0:21:48.040 --> 0:21:49.520
<v Speaker 7>Don't forget there are.

0:21:49.440 --> 0:21:51.199
<v Speaker 11>A lot of people who have held on to their

0:21:51.200 --> 0:21:54.240
<v Speaker 11>iPhones the past four or five years because the design

0:21:54.240 --> 0:21:55.120
<v Speaker 11>hasn't changed much.

0:21:55.359 --> 0:21:57.240
<v Speaker 7>Now it's finally changed, there's probably going to be some

0:21:57.280 --> 0:21:58.000
<v Speaker 7>pent up demand.

0:21:58.240 --> 0:22:01.240
<v Speaker 3>I'm all in on Orange, particularly today, and we appreciate it.

0:22:06.640 --> 0:22:07.920
<v Speaker 4>Welcome back to bloombag Tech.

0:22:08.040 --> 0:22:10.720
<v Speaker 3>Let's get to Adobe reporting its earnings after the closing

0:22:10.720 --> 0:22:11.280
<v Speaker 3>bell today.

0:22:11.480 --> 0:22:14.439
<v Speaker 4>Investors, well, they have watched Adobe's.

0:22:13.880 --> 0:22:17.520
<v Speaker 3>Shares get left behind in the AI craze. Maybe they've

0:22:17.520 --> 0:22:19.960
<v Speaker 3>got a little rison to be optimistic ahead of its results.

0:22:20.200 --> 0:22:22.840
<v Speaker 4>Bloomberg's tech reporter Matt Day is here to discuss.

0:22:22.880 --> 0:22:24.680
<v Speaker 3>We are down twenty one percent year to date, with

0:22:24.760 --> 0:22:28.080
<v Speaker 3>down forty percent in terms of the last twelve months. Matt,

0:22:28.359 --> 0:22:31.399
<v Speaker 3>it's all about competition. Is there anyway it can prove

0:22:31.680 --> 0:22:32.840
<v Speaker 3>that actually it's still got it?

0:22:33.680 --> 0:22:35.440
<v Speaker 13>I think a lot's going to depend on the forecast.

0:22:35.480 --> 0:22:37.920
<v Speaker 13>You know, Adobe's been trying to put AI all over

0:22:37.960 --> 0:22:40.600
<v Speaker 13>its products. It's got a Firefly product, It's invested a

0:22:40.600 --> 0:22:43.440
<v Speaker 13>whole lot into that kind of smatters AI across its

0:22:43.720 --> 0:22:46.320
<v Speaker 13>creative suite. But investors haven't seen the results that they

0:22:46.359 --> 0:22:48.359
<v Speaker 13>would have hoped for. You know, the last few quarters

0:22:48.400 --> 0:22:50.840
<v Speaker 13>has been disappointing guidance after disappointing guidance. It's like they're

0:22:50.840 --> 0:22:54.800
<v Speaker 13>looking at flatish profitability that go around, So they'd have

0:22:54.840 --> 0:22:56.679
<v Speaker 13>to definitely do something to change the narrative.

0:22:58.320 --> 0:22:59.840
<v Speaker 5>We focus a lot on the stock performance.

0:23:00.119 --> 0:23:02.240
<v Speaker 2>It's down forty percent over the last year, twenty five

0:23:02.280 --> 0:23:05.919
<v Speaker 2>percent year to day. But if you park it one

0:23:06.000 --> 0:23:09.200
<v Speaker 2>to one moment, I feel like Adobe has not stopped

0:23:09.240 --> 0:23:11.600
<v Speaker 2>talking about all of its AI stuff, Like do we

0:23:11.720 --> 0:23:15.280
<v Speaker 2>understand in the newsroom at the story about why Adobe's

0:23:15.320 --> 0:23:18.280
<v Speaker 2>just not been able to convince anyone that all the

0:23:18.359 --> 0:23:20.800
<v Speaker 2>AI attachments you talked about are actually paying off?

0:23:21.920 --> 0:23:24.240
<v Speaker 13>Well, I think they got to convince their buyers, you know,

0:23:24.280 --> 0:23:27.040
<v Speaker 13>first off, that this is worth you know, sometimes showing

0:23:27.080 --> 0:23:29.600
<v Speaker 13>an extra four, sometimes using you know, it's it's largely

0:23:29.640 --> 0:23:32.440
<v Speaker 13>a similar story to to what we've seen with other

0:23:32.480 --> 0:23:34.840
<v Speaker 13>AI tools in the enterprise, right that like is it

0:23:35.000 --> 0:23:36.800
<v Speaker 13>is it something fuel because the're piloting is something they're

0:23:36.800 --> 0:23:39.800
<v Speaker 13>taking wholesale and for now, you know, it'll be facing

0:23:39.840 --> 0:23:41.680
<v Speaker 13>a lot of inroads from you know, not just the

0:23:41.720 --> 0:23:46.720
<v Speaker 13>sort of freemium AI native upstarts, but also just chat GBT. Right,

0:23:46.840 --> 0:23:50.159
<v Speaker 13>are the pure AI tools kind of taking taking some

0:23:50.200 --> 0:23:52.800
<v Speaker 13>of that creative demand and illustrations and all like that

0:23:52.960 --> 0:23:53.760
<v Speaker 13>Adobe depends on.

0:23:54.520 --> 0:23:57.439
<v Speaker 3>And it's a global story. We understand that, you know,

0:23:57.520 --> 0:23:59.320
<v Speaker 3>the likes of deep Sea can Now Bite Dance. They

0:23:59.400 --> 0:24:01.800
<v Speaker 3>got great in the generations that are taking the world

0:24:01.800 --> 0:24:05.560
<v Speaker 3>by storm across the field. When you're looking at the fundamentals,

0:24:05.840 --> 0:24:09.119
<v Speaker 3>revenue isn't that bad. We're likely to post nine percent growth.

0:24:09.119 --> 0:24:11.199
<v Speaker 3>But the problem is it just keeps on shrinking in

0:24:11.280 --> 0:24:11.960
<v Speaker 3>terms of growth.

0:24:12.800 --> 0:24:14.800
<v Speaker 13>Yeah, and the other problem, I mean they've they've forecasted

0:24:14.840 --> 0:24:16.919
<v Speaker 13>something like two hundred and fifty million dollars in recurring

0:24:17.000 --> 0:24:19.160
<v Speaker 13>revenue from AI. You know, that's that's not a ton

0:24:19.200 --> 0:24:21.400
<v Speaker 13>on their enormous user base. Folks would like to see

0:24:21.440 --> 0:24:23.960
<v Speaker 13>more to move the stock. So they still have a

0:24:23.960 --> 0:24:25.920
<v Speaker 13>whole lot to prove in terms of people actually form

0:24:25.960 --> 0:24:27.639
<v Speaker 13>the shell out and we'll want to use these tools.

0:24:27.640 --> 0:24:29.399
<v Speaker 13>You know, the expense of a canva or a FIGMA

0:24:29.720 --> 0:24:30.400
<v Speaker 13>or a CHGPT.

0:24:31.520 --> 0:24:34.639
<v Speaker 2>If anything, it just demonstrates us like earning season continues,

0:24:34.720 --> 0:24:37.280
<v Speaker 2>the next big tech name to go is Adobe, and

0:24:37.320 --> 0:24:39.879
<v Speaker 2>that's why we're grateful for Bloomberg's Matt Day joining us

0:24:39.880 --> 0:24:42.280
<v Speaker 2>here on Bloomberg Tech. After the Bell, we'll go back

0:24:42.280 --> 0:24:43.000
<v Speaker 2>to it tomorrow.

0:24:43.119 --> 0:24:43.439
<v Speaker 5>Okay.

0:24:43.560 --> 0:24:46.920
<v Speaker 2>For the next episode of Bloomberg Tech Europe, Tom McKenzie

0:24:46.960 --> 0:24:51.520
<v Speaker 2>speaks exclusively with Demis Hassabis, the Nobel laureate responsible for

0:24:51.560 --> 0:24:54.480
<v Speaker 2>all of Alphabet's core AI work and the co founder

0:24:54.480 --> 0:24:57.240
<v Speaker 2>and CEO of Google deep Mind. The subace is also

0:24:57.400 --> 0:25:00.440
<v Speaker 2>on a mission to harness AI to quote soul all

0:25:00.480 --> 0:25:03.959
<v Speaker 2>disease through his work at the London base Alphabet subsidiary

0:25:04.280 --> 0:25:07.080
<v Speaker 2>Isomorphic Labs. Here's a part of that conversation.

0:25:09.560 --> 0:25:13.280
<v Speaker 14>Well, that was always the kind of holy girl in

0:25:13.320 --> 0:25:15.640
<v Speaker 14>a way, is to try and tackle cancer. But we've

0:25:15.680 --> 0:25:18.840
<v Speaker 14>also done it for practical reasons as well, because you know,

0:25:18.880 --> 0:25:22.720
<v Speaker 14>the clinical aspects of that are favorable for new drugs

0:25:23.200 --> 0:25:26.080
<v Speaker 14>because obviously the disease is so serious and so there

0:25:26.080 --> 0:25:28.320
<v Speaker 14>are a number of reasons we pick those two areas. Also,

0:25:28.400 --> 0:25:30.639
<v Speaker 14>partly what we think is going to the platform is

0:25:30.640 --> 0:25:32.480
<v Speaker 14>going to be able to do early on.

0:25:33.320 --> 0:25:36.080
<v Speaker 15>There's the speed and efficiency that the platform brings to it.

0:25:36.080 --> 0:25:37.160
<v Speaker 12>There's the quality as well.

0:25:37.200 --> 0:25:40.399
<v Speaker 15>Of course, when we're thinking about pre clinical research and

0:25:40.440 --> 0:25:43.880
<v Speaker 15>AI drug discovery usually using the old methods. You were

0:25:43.920 --> 0:25:47.080
<v Speaker 15>talking what three to six years? How to what extent

0:25:47.119 --> 0:25:49.200
<v Speaker 15>can you cut that time frame down?

0:25:49.720 --> 0:25:51.760
<v Speaker 14>I think in the fullness of time, when our platform

0:25:51.800 --> 0:25:54.320
<v Speaker 14>is mature in the next couple of years, I'd like

0:25:54.400 --> 0:25:57.160
<v Speaker 14>to see that cut down into a matter of months

0:25:57.200 --> 0:25:59.520
<v Speaker 14>instead of years. That's what I think is possible, perhaps

0:25:59.560 --> 0:26:02.320
<v Speaker 14>even far than that, so kind of order of magnitude

0:26:02.480 --> 0:26:04.760
<v Speaker 14>speed up. But you know, we'll see if that's possible.

0:26:04.800 --> 0:26:06.520
<v Speaker 14>There's a lot of work we've got to do first.

0:26:06.600 --> 0:26:10.399
<v Speaker 14>But you know, initial, initial worker initial signs are very promising.

0:26:10.440 --> 0:26:12.320
<v Speaker 15>Back in March, you've raised your first extent of funding

0:26:12.320 --> 0:26:14.840
<v Speaker 15>six hundred million US dollars and you're putting that to

0:26:14.840 --> 0:26:17.399
<v Speaker 15>play in different paths to build out the platform. But

0:26:17.400 --> 0:26:19.760
<v Speaker 15>also talent seems to be part of that. When you

0:26:19.760 --> 0:26:21.360
<v Speaker 15>think about talent, when you think about people like Mark

0:26:21.440 --> 0:26:24.480
<v Speaker 15>Zuckerberg signing checks for two hundred million dollars, what does

0:26:24.480 --> 0:26:25.520
<v Speaker 15>that signal to you?

0:26:26.200 --> 0:26:28.320
<v Speaker 14>Well, Lena, that's a slightly different market, which is the

0:26:28.359 --> 0:26:31.639
<v Speaker 14>pure sort of AGI market, let's say. But it's and

0:26:32.480 --> 0:26:34.080
<v Speaker 14>you know whether or not that's rational, and I think

0:26:34.119 --> 0:26:36.360
<v Speaker 14>our organizations need to think through themselves. But I do

0:26:36.359 --> 0:26:39.040
<v Speaker 14>think AI is going to be one of the biggest technologies,

0:26:39.040 --> 0:26:41.680
<v Speaker 14>if not the biggest, that humanity will ever event so

0:26:41.880 --> 0:26:44.720
<v Speaker 14>in some sense that is rational. But on the other hand,

0:26:44.760 --> 0:26:47.480
<v Speaker 14>in it's particlarly with isomorphic. We have such a compelling

0:26:47.480 --> 0:26:51.280
<v Speaker 14>mission of applying AI to to improve human health. I mean,

0:26:51.359 --> 0:26:53.880
<v Speaker 14>what better use of AI is there than that? And

0:26:54.000 --> 0:26:57.960
<v Speaker 14>that's a really compelling and compelling proposition for both our investors,

0:26:58.200 --> 0:26:59.200
<v Speaker 14>our and our staff.

0:27:00.000 --> 0:27:01.879
<v Speaker 3>We've got to catch the full conversation and it's in

0:27:01.880 --> 0:27:04.440
<v Speaker 3>the next edition of Bloemberg Tech Europe. It's quite early

0:27:04.480 --> 0:27:07.359
<v Speaker 3>though Eastern time, one thirty am six thirty am in London,

0:27:07.400 --> 0:27:09.360
<v Speaker 3>but you can catch it online too. Now, coming up,

0:27:09.680 --> 0:27:12.560
<v Speaker 3>we speak with Repless CEO I'm Jad Massad about the

0:27:12.560 --> 0:27:15.639
<v Speaker 3>startup's latest funding round and the excitement surrounding the Vibe

0:27:15.640 --> 0:27:16.320
<v Speaker 3>coding space.

0:27:16.800 --> 0:27:17.760
<v Speaker 4>This is Bloomberg Tech.

0:27:33.720 --> 0:27:37.760
<v Speaker 2>AI coding startup Replet has a new valuation three billion dollars,

0:27:37.800 --> 0:27:39.960
<v Speaker 2>nearly tripling its previous value.

0:27:40.160 --> 0:27:40.800
<v Speaker 5>We broke the story.

0:27:40.880 --> 0:27:43.200
<v Speaker 2>Yesterday it closed the two hundred and fifty million dollar

0:27:43.240 --> 0:27:46.600
<v Speaker 2>funding round led by Prison Capital, with American Express Ventures,

0:27:46.600 --> 0:27:50.360
<v Speaker 2>Google's AI Futures Fund, and existing backers like Andreson Howitz

0:27:50.560 --> 0:27:54.600
<v Speaker 2>and why Combinator I'm Jad Masad Replet CEO and founder

0:27:55.000 --> 0:27:59.200
<v Speaker 2>joins us. Now something is happening in AI and coding

0:27:59.520 --> 0:28:01.879
<v Speaker 2>in particular. There is a lot of momentum behind you

0:28:01.960 --> 0:28:04.959
<v Speaker 2>and a number of your peers. Why, you know, like

0:28:05.240 --> 0:28:09.200
<v Speaker 2>the valuations, the headline, but what's the thing underneath that

0:28:09.200 --> 0:28:09.960
<v Speaker 2>that's driving it?

0:28:10.640 --> 0:28:15.639
<v Speaker 16>You know, Since the dawn of computing, the holy grail

0:28:15.840 --> 0:28:20.080
<v Speaker 16>the vision of using computers is the ability to program them.

0:28:20.560 --> 0:28:23.120
<v Speaker 16>And there's been many attempts across the years, in most

0:28:23.160 --> 0:28:26.440
<v Speaker 16>recently with the no code and low code movement, but it.

0:28:26.359 --> 0:28:28.359
<v Speaker 12>Really never achieved the potential.

0:28:29.280 --> 0:28:33.440
<v Speaker 16>And today with AI, you can conjure up software by

0:28:33.480 --> 0:28:37.119
<v Speaker 16>merely speaking them and that's really a magical feeling and

0:28:37.160 --> 0:28:40.240
<v Speaker 16>it's transforming all sorts of jobs, not just programming, but

0:28:40.360 --> 0:28:41.080
<v Speaker 16>others as well.

0:28:41.120 --> 0:28:44.200
<v Speaker 2>And Jack, can we do a vibe check and talk

0:28:44.240 --> 0:28:47.240
<v Speaker 2>about vibe coding? Are you in the camp of people

0:28:47.280 --> 0:28:51.480
<v Speaker 2>that accept that vibe coding was coined by Andre Kape

0:28:51.720 --> 0:28:54.480
<v Speaker 2>earlier in the year and now.

0:28:54.320 --> 0:28:55.080
<v Speaker 5>It's a big thing.

0:28:55.960 --> 0:28:59.120
<v Speaker 2>I think our audience would really appreciate understanding what is

0:28:59.200 --> 0:29:01.360
<v Speaker 2>vibe coding and what do people say things like that?

0:29:01.520 --> 0:29:05.160
<v Speaker 16>Yeah, yeah, I mean looking again at the history of computing,

0:29:06.160 --> 0:29:09.200
<v Speaker 16>Grace Hopper in the nineteen fifties, then Venor the compiler

0:29:09.640 --> 0:29:12.880
<v Speaker 16>talked about what we need to do is get to

0:29:13.000 --> 0:29:15.360
<v Speaker 16>a position where we're coding in English, and that was

0:29:15.400 --> 0:29:19.080
<v Speaker 16>always a vision, and so Carpathi last year, in his

0:29:19.200 --> 0:29:23.440
<v Speaker 16>experience coding, said, I'm starting to trust AI more and

0:29:23.560 --> 0:29:26.760
<v Speaker 16>as I'm coding THEI is presenting the code, I'm just

0:29:26.800 --> 0:29:29.920
<v Speaker 16>typing natural language and I just accepted. So that was

0:29:31.160 --> 0:29:33.560
<v Speaker 16>sort of the coinage of the term. But obviously that's

0:29:33.760 --> 0:29:36.200
<v Speaker 16>something that people have been doing since chat GBT.

0:29:36.560 --> 0:29:40.320
<v Speaker 12>We started seeing it at a Replet. We released Replet.

0:29:40.040 --> 0:29:44.200
<v Speaker 16>Agents in September twenty twenty four and it was the

0:29:44.320 --> 0:29:47.200
<v Speaker 16>first coding agent on the market where you don't even

0:29:47.240 --> 0:29:50.880
<v Speaker 16>have to look at the code, so you just type

0:29:51.520 --> 0:29:53.680
<v Speaker 16>your prompt just say I want to build like a

0:29:53.720 --> 0:29:59.120
<v Speaker 16>storefront for my pet store, and it will like in

0:29:59.160 --> 0:30:00.000
<v Speaker 16>a few minutes.

0:29:59.760 --> 0:30:01.360
<v Speaker 12>You'll to see the website.

0:30:01.600 --> 0:30:03.320
<v Speaker 16>You can say I want to add login, I want

0:30:03.360 --> 0:30:06.200
<v Speaker 16>to add my stripe integration, and boom, you have a

0:30:06.240 --> 0:30:11.080
<v Speaker 16>website that's being built. So vibe coding initially was coined

0:30:11.120 --> 0:30:14.479
<v Speaker 16>by a Carpaty for professionals, saying that you can move

0:30:14.520 --> 0:30:15.600
<v Speaker 16>a lot faster, you can.

0:30:15.520 --> 0:30:18.960
<v Speaker 12>Iterate very quickly. But our take on it is really.

0:30:18.720 --> 0:30:21.920
<v Speaker 16>Anyone can program, and that's transforming not just software engineering.

0:30:22.240 --> 0:30:27.520
<v Speaker 16>We have people designers, product managers, finance people, operations people.

0:30:27.960 --> 0:30:32.640
<v Speaker 16>Everyone is automating their jobs, building tools around their jobs.

0:30:33.000 --> 0:30:34.680
<v Speaker 12>And that's what vibecoding is doing.

0:30:35.280 --> 0:30:37.920
<v Speaker 3>And so now with the progress in your agents from

0:30:38.000 --> 0:30:42.360
<v Speaker 3>agent one of just doing two minutes of work and

0:30:42.360 --> 0:30:44.800
<v Speaker 3>now we're up to two hundred minutes with your Agent three,

0:30:45.160 --> 0:30:47.720
<v Speaker 3>are you doing engineers and software designers out of a job?

0:30:49.240 --> 0:30:52.280
<v Speaker 12>Well, I don't think so. I think we're empowering them.

0:30:52.600 --> 0:30:54.840
<v Speaker 16>So if you look at some of our customers, what

0:30:54.880 --> 0:30:58.320
<v Speaker 16>they're saying, for example, we have dual Lingo and Zilos,

0:30:58.400 --> 0:31:03.400
<v Speaker 16>some of are exciting customers in the enterprise. What they're

0:31:03.440 --> 0:31:08.320
<v Speaker 16>telling us is they're cutting product development life cycle by

0:31:08.440 --> 0:31:12.000
<v Speaker 16>up to fifty percent. So previously, when you want to

0:31:12.080 --> 0:31:14.800
<v Speaker 16>produce a new feature, new product, what you would do

0:31:14.880 --> 0:31:17.600
<v Speaker 16>a product manager would sit down write a very long

0:31:17.720 --> 0:31:20.360
<v Speaker 16>document that we call a PRD. We'll pass it to

0:31:20.400 --> 0:31:24.720
<v Speaker 16>the designer. Designer takes that. Typically they misunderstand some aspect

0:31:24.760 --> 0:31:27.200
<v Speaker 16>of it because it's a lot, and they produce a

0:31:27.320 --> 0:31:29.440
<v Speaker 16>mock and then a mock goes to the engineer. They

0:31:29.440 --> 0:31:31.640
<v Speaker 16>also understand some aspect of it, so there's a lot

0:31:31.680 --> 0:31:34.880
<v Speaker 16>of communication issues there. So what they're doing right now

0:31:35.000 --> 0:31:37.560
<v Speaker 16>is a product manager, instead of going from text to

0:31:37.600 --> 0:31:41.000
<v Speaker 16>design to program, they go straight to program. So they

0:31:41.080 --> 0:31:44.360
<v Speaker 16>generate a prototype, they pass that prototype to the designer

0:31:44.440 --> 0:31:47.480
<v Speaker 16>and the engineer and the iteration loop just goes much faster.

0:31:47.600 --> 0:31:50.720
<v Speaker 16>So companies are a lot more productive, they're shipping faster,

0:31:51.160 --> 0:31:54.000
<v Speaker 16>and that's really how we're transforming software in the enterprise.

0:31:54.320 --> 0:31:57.000
<v Speaker 2>And I think the blombag tech audience would love to

0:31:57.080 --> 0:31:59.160
<v Speaker 2>learn a bit more about Redplit as a company. Yeah,

0:31:59.200 --> 0:32:01.720
<v Speaker 2>you know again, headline is the tripling of the valuation.

0:32:01.920 --> 0:32:04.440
<v Speaker 2>But how have you grown internally? What are the main

0:32:04.480 --> 0:32:06.400
<v Speaker 2>priorities for you in terms of onboarding talent?

0:32:06.880 --> 0:32:09.200
<v Speaker 16>You know, we set up this really big vision when

0:32:09.240 --> 0:32:11.960
<v Speaker 16>we started the company in twenty sixteen. We said we're

0:32:11.960 --> 0:32:14.040
<v Speaker 16>going to empower a billion people to be able to

0:32:14.040 --> 0:32:17.560
<v Speaker 16>create software, and people were investors especially, who were laughing

0:32:17.720 --> 0:32:20.040
<v Speaker 16>us out of the room. It's like, yeah, no, no way,

0:32:20.080 --> 0:32:22.920
<v Speaker 16>A billion people would want to learn how to code.

0:32:23.160 --> 0:32:25.320
<v Speaker 16>But we kept talking about how AI is going to

0:32:25.360 --> 0:32:29.040
<v Speaker 16>change things. We built a platform that removes all the

0:32:29.120 --> 0:32:33.080
<v Speaker 16>complexity from creating software. And that's not just the code,

0:32:33.120 --> 0:32:36.720
<v Speaker 16>that's you know, creating the development environment, that's creating a

0:32:36.800 --> 0:32:39.680
<v Speaker 16>database and managing it, that's deploying it. And so we

0:32:39.760 --> 0:32:43.520
<v Speaker 16>spent ten years, eight or nine years before the company

0:32:43.520 --> 0:32:47.240
<v Speaker 16>took off commercially. You know, last year about this time,

0:32:47.400 --> 0:32:51.520
<v Speaker 16>we're about three million dollars in annual recurrent revenue release

0:32:51.600 --> 0:32:55.120
<v Speaker 16>replet Agent one that sent us immediately to nine million dollars,

0:32:55.160 --> 0:32:57.120
<v Speaker 16>but by the end of the year we were about

0:32:57.200 --> 0:32:59.760
<v Speaker 16>you know, nine or ten million dollars, and then from

0:32:59.800 --> 0:33:05.080
<v Speaker 16>there until July we fifteen x tow one hundred and

0:33:05.120 --> 0:33:09.120
<v Speaker 16>fifty million dollar arr Agent V two made it so

0:33:09.160 --> 0:33:11.280
<v Speaker 16>that you can go from the agent, you can give

0:33:11.280 --> 0:33:13.080
<v Speaker 16>it an idea or work for two minutes and come

0:33:13.080 --> 0:33:15.400
<v Speaker 16>back to you with questions or a lot of struggle.

0:33:15.800 --> 0:33:18.200
<v Speaker 16>V two could work for twenty minutes. Now V three

0:33:18.240 --> 0:33:21.240
<v Speaker 16>could work for two hundred minutes, and it's really becoming

0:33:21.360 --> 0:33:24.120
<v Speaker 16>like your own programmer. You don't have to go hire

0:33:24.120 --> 0:33:26.800
<v Speaker 16>a programmer off the market. You can just go to rapport,

0:33:26.840 --> 0:33:29.840
<v Speaker 16>put in your idea, a report will work like a teammate.

0:33:30.760 --> 0:33:33.240
<v Speaker 3>But you are hiring, and in many ways, that's why

0:33:33.440 --> 0:33:36.200
<v Speaker 3>you've raised the funds. Amjad, I'm going to make it

0:33:36.240 --> 0:33:38.920
<v Speaker 3>personal if you don't mind, but knowing your story of

0:33:38.960 --> 0:33:41.000
<v Speaker 3>coming here to the United States back in what was

0:33:41.000 --> 0:33:43.200
<v Speaker 3>it twenty twelve, the fact you came to New York,

0:33:43.240 --> 0:33:45.760
<v Speaker 3>I just spoke with the Governor Kathy Hochel of New

0:33:45.840 --> 0:33:48.560
<v Speaker 3>York who's worried about the access of talent for building

0:33:48.560 --> 0:33:50.520
<v Speaker 3>technology here in New York. And I'm sure it's something

0:33:50.520 --> 0:33:52.840
<v Speaker 3>you think about on the West Coast. Can you get

0:33:52.880 --> 0:33:55.560
<v Speaker 3>the talent you need, particularly from outside of the United States.

0:33:57.640 --> 0:33:59.720
<v Speaker 16>I think there's a lot of talent here and the

0:34:00.000 --> 0:34:02.880
<v Speaker 16>out of states. Still, I think the salaries are getting

0:34:02.920 --> 0:34:05.960
<v Speaker 16>quite absurd because of the funding that's going in AI,

0:34:06.400 --> 0:34:09.040
<v Speaker 16>but I think we should do Obviously, immigration is still

0:34:09.080 --> 0:34:11.680
<v Speaker 16>going to be very important to getting the best and

0:34:11.760 --> 0:34:14.560
<v Speaker 16>the brightest people from all over the world to America.

0:34:14.640 --> 0:34:16.680
<v Speaker 16>But also there's a lot of local talent here and

0:34:16.719 --> 0:34:19.560
<v Speaker 16>I think Replet's also mission is.

0:34:19.480 --> 0:34:21.200
<v Speaker 12>To teach people those skills.

0:34:21.480 --> 0:34:24.520
<v Speaker 16>So Replets has always been used in schools and universities,

0:34:24.880 --> 0:34:27.360
<v Speaker 16>and it's the best time ever if you're a student

0:34:27.760 --> 0:34:31.080
<v Speaker 16>to start learning how to make software is so easy.

0:34:31.120 --> 0:34:32.640
<v Speaker 12>You can make your first piece of.

0:34:32.600 --> 0:34:36.600
<v Speaker 16>Software in a matter of like fifteen to twenty minutes.

0:34:36.960 --> 0:34:39.160
<v Speaker 16>And so I think we're going to see an explosion

0:34:39.640 --> 0:34:42.480
<v Speaker 16>of talent and people coming on the market being able

0:34:42.800 --> 0:34:46.080
<v Speaker 16>to not just code, but you know, use chat, GPT,

0:34:46.760 --> 0:34:49.120
<v Speaker 16>use mid journey, be able to design, be able to

0:34:49.120 --> 0:34:52.040
<v Speaker 16>create videos. I think it's an amazing time for a

0:34:52.080 --> 0:34:55.600
<v Speaker 16>student to be building a broad set of skills, and

0:34:55.680 --> 0:34:56.959
<v Speaker 16>I think I don't think we're going.

0:34:56.840 --> 0:34:57.920
<v Speaker 12>To have a talent problem.

0:34:58.320 --> 0:35:02.080
<v Speaker 3>Really appreciate that on So thank you, Jadamasad's Replet CEO

0:35:02.160 --> 0:35:11.120
<v Speaker 3>and founder. Congratulations on the Rais file management company. Box

0:35:11.160 --> 0:35:13.359
<v Speaker 3>has unveiled a new set of agentic tools that it's

0:35:13.400 --> 0:35:16.560
<v Speaker 3>annual BlockWorks conference and includes a kind of operating system

0:35:16.560 --> 0:35:19.960
<v Speaker 3>for AI agents and an a cybersecurity tool. Let's get

0:35:19.960 --> 0:35:23.120
<v Speaker 3>into it in Box CEO Aaron Levy, who joins us. Now, Aaron,

0:35:23.520 --> 0:35:25.439
<v Speaker 3>what are you most excited about? Because there's a raft

0:35:25.480 --> 0:35:27.959
<v Speaker 3>of things you're unveiling, whether it's about extracting data, whether

0:35:28.000 --> 0:35:31.440
<v Speaker 3>it's about managing the raft of agents we're about to face.

0:35:31.840 --> 0:35:33.520
<v Speaker 4>How are your consumers going to adopt it?

0:35:34.680 --> 0:35:37.000
<v Speaker 17>Yeah, So I think the thing we're most excited about

0:35:37.120 --> 0:35:40.719
<v Speaker 17>is that box we help companies manage their unstructured data.

0:35:40.800 --> 0:35:42.840
<v Speaker 17>So if you think about ninety percent of data in

0:35:42.880 --> 0:35:48.759
<v Speaker 17>the enterprise, are things like financial documents, contracts, invoices, research materials,

0:35:49.040 --> 0:35:51.360
<v Speaker 17>all of that data. Traditionally you've never been able to

0:35:51.400 --> 0:35:54.399
<v Speaker 17>tap into its scale inside of an organization. You kind

0:35:54.400 --> 0:35:56.239
<v Speaker 17>of create it, you store it, you may look at

0:35:56.239 --> 0:35:59.440
<v Speaker 17>it again, but you never really are able to actually

0:35:59.480 --> 0:36:02.560
<v Speaker 17>put it in to a workflow or deeply understand what's

0:36:02.560 --> 0:36:05.680
<v Speaker 17>inside that data. So we're announcing a set of capabilities

0:36:05.719 --> 0:36:08.480
<v Speaker 17>with AI agents to let you actually finally tap into

0:36:08.480 --> 0:36:08.920
<v Speaker 17>that data.

0:36:09.360 --> 0:36:10.799
<v Speaker 7>The probably biggest.

0:36:10.440 --> 0:36:13.239
<v Speaker 17>Part of the announcements of are new workflow automation capability

0:36:13.280 --> 0:36:16.120
<v Speaker 17>Box automate, where you can design an end to end

0:36:16.120 --> 0:36:19.640
<v Speaker 17>business process directly in box and then drop in AI

0:36:19.760 --> 0:36:22.720
<v Speaker 17>agents at any step or multiple steps in that business

0:36:22.719 --> 0:36:25.719
<v Speaker 17>process to let you go and bring automation to your

0:36:25.800 --> 0:36:29.440
<v Speaker 17>unstructured workflows. So think about client onboarding at a bank,

0:36:29.719 --> 0:36:32.520
<v Speaker 17>reviewing a contract at a law firm, being able to

0:36:32.560 --> 0:36:34.600
<v Speaker 17>work through healthcare data. These are what you're going to

0:36:34.640 --> 0:36:36.960
<v Speaker 17>be able to automate now at scale.

0:36:36.480 --> 0:36:39.640
<v Speaker 3>And you're in like two thirds of the fortune five hundred.

0:36:40.320 --> 0:36:42.120
<v Speaker 4>I really want to get a sense check of.

0:36:42.200 --> 0:36:45.800
<v Speaker 3>How they're embracing these sorts of products, what effectiveness they're seeing,

0:36:45.840 --> 0:36:48.760
<v Speaker 3>because with that MIT report blowing up all the vibes

0:36:48.800 --> 0:36:52.080
<v Speaker 3>around whether or not this stuff is actually practically delivering

0:36:52.360 --> 0:36:54.160
<v Speaker 3>on productivity, what are you seeing?

0:36:55.239 --> 0:36:59.799
<v Speaker 17>Yeah, so we're seeing probably a different trend from what

0:37:00.239 --> 0:37:02.360
<v Speaker 17>I think showed up in that MIT report. That's obviously

0:37:02.360 --> 0:37:05.919
<v Speaker 17>a very broad based survey across lots of different types

0:37:05.960 --> 0:37:08.880
<v Speaker 17>of implementations of AI. And one thing actually in particular

0:37:08.960 --> 0:37:11.399
<v Speaker 17>that was found in the MIT report was a very

0:37:11.440 --> 0:37:14.799
<v Speaker 17>different success and failure rate based on if companies try

0:37:14.800 --> 0:37:18.000
<v Speaker 17>and build out their own technology versus work with software

0:37:18.080 --> 0:37:20.880
<v Speaker 17>vendors that have pre built capabilities to let them go

0:37:20.960 --> 0:37:23.799
<v Speaker 17>and deploy against their data and workflows. So we're seeing

0:37:23.840 --> 0:37:27.200
<v Speaker 17>a much higher success rate because within box customers already

0:37:27.239 --> 0:37:30.400
<v Speaker 17>have their data, they already have security. Now we're introducing

0:37:30.440 --> 0:37:33.680
<v Speaker 17>workflow capabilities that they can drop agents into, all of

0:37:33.719 --> 0:37:37.440
<v Speaker 17>which provide the guardrails to make agents much more successful

0:37:37.480 --> 0:37:40.040
<v Speaker 17>in their environment. So we're seeing very different results. But

0:37:40.080 --> 0:37:43.320
<v Speaker 17>I think there are important lessons within that MIT survey

0:37:43.320 --> 0:37:46.120
<v Speaker 17>that CIOs should be paying attention to as they go

0:37:46.160 --> 0:37:48.040
<v Speaker 17>and deploy AI and their enterprise.

0:37:48.920 --> 0:37:52.640
<v Speaker 2>Aaron extract tot to mat and she'ld pro this package

0:37:52.680 --> 0:37:56.400
<v Speaker 2>expansion for you. You're a one billion dollar revenue AEA company,

0:37:57.000 --> 0:37:59.319
<v Speaker 2>do you just kind of see immediate acceleration of that

0:37:59.440 --> 0:38:03.400
<v Speaker 2>because you think it's what your customers are wanting right now.

0:38:04.680 --> 0:38:08.200
<v Speaker 17>Yeah, So we introduced a new plan called Enterprise Advanced.

0:38:08.320 --> 0:38:11.479
<v Speaker 17>And what Enterprise Advance does is it has our most

0:38:11.520 --> 0:38:15.839
<v Speaker 17>advanced AI capabilities, our AI agent builder, now, our new

0:38:15.880 --> 0:38:19.920
<v Speaker 17>workflow capabilities with agents, and that's providing a really kind

0:38:19.960 --> 0:38:23.279
<v Speaker 17>of great upgrade cycle from a revenue standpoint, but it's

0:38:23.280 --> 0:38:25.720
<v Speaker 17>also making it very easy for our customers to actually

0:38:25.719 --> 0:38:28.879
<v Speaker 17>get into these advanced capabilities in a seamless way. So

0:38:29.000 --> 0:38:31.200
<v Speaker 17>we think it's a very good match for again driving

0:38:31.280 --> 0:38:34.360
<v Speaker 17>a revenue sort of cycle for us that is driving

0:38:34.560 --> 0:38:37.560
<v Speaker 17>a very healthy upgrade rate. We've seen some great results

0:38:37.560 --> 0:38:41.400
<v Speaker 17>where we beat guidance and consensus on our recent numbers,

0:38:41.640 --> 0:38:44.360
<v Speaker 17>and that's really driven by the enterprise advanced momentum that

0:38:44.440 --> 0:38:46.960
<v Speaker 17>will only continue based on the announcements we're making today

0:38:47.040 --> 0:38:49.879
<v Speaker 17>on our new set of features that we're launching aeron.

0:38:50.000 --> 0:38:53.480
<v Speaker 2>I've really enjoyed following your posts on X in recent months,

0:38:53.520 --> 0:38:55.880
<v Speaker 2>your on stage appearances. I've been trying to think, like,

0:38:56.320 --> 0:38:58.680
<v Speaker 2>what is the Aaron Levy summary of what's happening in

0:38:58.719 --> 0:38:59.640
<v Speaker 2>AI right now?

0:39:00.040 --> 0:39:01.000
<v Speaker 5>And correct me if I'm wrong.

0:39:01.040 --> 0:39:04.000
<v Speaker 2>I think your position is like, don't take your position

0:39:04.040 --> 0:39:05.600
<v Speaker 2>in the world of software for granted.

0:39:05.920 --> 0:39:07.320
<v Speaker 5>Everything is up for grabs.

0:39:07.760 --> 0:39:09.960
<v Speaker 2>Would you say that's fair and that you apply that

0:39:10.000 --> 0:39:11.359
<v Speaker 2>philosophy to Box as well.

0:39:12.840 --> 0:39:15.920
<v Speaker 17>Yeah, I mean, I'm certainly a student of history, you know,

0:39:15.960 --> 0:39:20.000
<v Speaker 17>Andy Grove. Obviously only the paranoids survive. I sort of

0:39:20.040 --> 0:39:22.120
<v Speaker 17>grew up in the tech industry at a point when

0:39:22.160 --> 0:39:24.680
<v Speaker 17>that was just locked in on everybody. You had this

0:39:24.880 --> 0:39:28.520
<v Speaker 17>new wave of disruptors go after many incumbent industries. We

0:39:28.520 --> 0:39:31.040
<v Speaker 17>were one of those, and so by living and breathing

0:39:31.040 --> 0:39:34.520
<v Speaker 17>that ourselves, I think we know how tenuous these positions

0:39:34.520 --> 0:39:36.200
<v Speaker 17>can be if you don't adapt and if you don't

0:39:36.200 --> 0:39:38.800
<v Speaker 17>move quickly. So the way we run Box today is

0:39:39.200 --> 0:39:41.319
<v Speaker 17>we have this mindset of what would our company do

0:39:41.719 --> 0:39:44.880
<v Speaker 17>if we started from scratch in twenty twenty five, how

0:39:44.880 --> 0:39:47.319
<v Speaker 17>would we work internally, how would we operate? And then,

0:39:47.320 --> 0:39:49.960
<v Speaker 17>most importantly, what value would we deliver for our customers

0:39:50.280 --> 0:39:53.400
<v Speaker 17>and for us. We're just sitting on this incredible amount

0:39:53.440 --> 0:39:56.000
<v Speaker 17>of data that our customers have entrusted us with that

0:39:56.080 --> 0:39:58.480
<v Speaker 17>we can now help them bring all new use cases

0:39:58.520 --> 0:40:01.040
<v Speaker 17>to life with the power of AI. We're incredibly excited.

0:40:01.040 --> 0:40:03.880
<v Speaker 17>This is the most exciting I've ever been, you know,

0:40:03.920 --> 0:40:08.200
<v Speaker 17>when we've been running Box, and this is more exciting

0:40:08.200 --> 0:40:11.080
<v Speaker 17>than the founding days, just given how many things we

0:40:11.120 --> 0:40:12.319
<v Speaker 17>can go and help customers with.

0:40:13.360 --> 0:40:15.680
<v Speaker 2>Aaron Levy, co founder and CEO of Box, It's great

0:40:15.680 --> 0:40:17.640
<v Speaker 2>to have you back here on Bloomberg Tech. Thank you

0:40:17.719 --> 0:40:21.120
<v Speaker 2>so much. That does it for this edition of Bloomberg Tech.

0:40:21.400 --> 0:40:24.120
<v Speaker 2>My goodness, September has been brutal, and what a week

0:40:24.160 --> 0:40:24.560
<v Speaker 2>it's been.

0:40:24.560 --> 0:40:27.759
<v Speaker 3>Karroc relentless. I feel it might be. There is so

0:40:27.920 --> 0:40:30.960
<v Speaker 3>much you've got to digest and catch up on and revisit.

0:40:30.600 --> 0:40:31.320
<v Speaker 4>With our podcast.

0:40:31.480 --> 0:40:33.160
<v Speaker 3>You can find it on the timeline and on the

0:40:33.280 --> 0:40:36.399
<v Speaker 3>terminal with Apple, Spotify and I Heart.

0:40:36.840 --> 0:40:37.799
<v Speaker 4>This is Bloomberg Tech.