WEBVTT - Apple's AI-Focused Chips, ARK's Stake in OpenAI

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<v Speaker 1>From Mahard where Innovations, Money and Power Collie in Silicon

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<v Speaker 1>Vallet NBN.

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<v Speaker 2>This is Bloomberg Technology with Caroline Hyde and Ed Ludlow.

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<v Speaker 3>I'm Caroline Hyde at Bloomberg's world headquarters in New York

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<v Speaker 3>and I met Ludlow in San Francisco.

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<v Speaker 4>This is Bloomberg Technology coming up.

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<v Speaker 3>Semiconductors slide. That's on reports that China has told telecom

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<v Speaker 3>carries to drop foreign chips. They'll bring you the details.

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<v Speaker 5>Plus Apple plans to overhaul its entire line of Mac

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<v Speaker 5>computers to add an AI focused in house processor or

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<v Speaker 5>break down our exclusive Bloomberg reporting.

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<v Speaker 3>And Kathy Wood buys into chatchybt Boom with a stake

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<v Speaker 3>in Open AI. We'll discuss that and so much more

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<v Speaker 3>throughout the hour, but first let's get over to these

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<v Speaker 3>public trading markets. From a macro context, this is one

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<v Speaker 3>we're seeing a search for safety today. There is warriors

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<v Speaker 3>regarding Iran Israel. We're seeing geopolitical risks heightened, and maybe

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<v Speaker 3>just as squaring away of certain volatility that we've seen

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<v Speaker 3>throughout the week when it comes to concerns about CPIPPI.

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<v Speaker 3>As we move towards the weekend, we're currently seeing, for once,

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<v Speaker 3>equity is actually moving at the opposite way of a

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<v Speaker 3>bomb market. Even though the bond market has been selling

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<v Speaker 3>off and equities is still managed to ride higher. Today

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<v Speaker 3>it's the opposite. Were actually seeing bond markets move higher.

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<v Speaker 3>We're seeing money move into the havens that are the

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<v Speaker 3>tenure yield. We're off by also eight nine basis points,

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<v Speaker 3>so we're seeing money move there, money move into the

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<v Speaker 3>Bloomberg Dollar Index, in fact, the highest level that since

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<v Speaker 3>we've seen twenty twenty four. Head are up another seven

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<v Speaker 3>tenths of a percent, but money coming out of equities

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<v Speaker 3>as we worry about geopolitical tensions. We're off by one

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<v Speaker 3>point four percent on the NASDAK and of course that

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<v Speaker 3>key chip story that we're will be digging into in

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<v Speaker 3>a moment. Move on, have a little look what's happening

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<v Speaker 3>in another key risk asset, and actually surprisingly flat for

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<v Speaker 3>bitcoin over all over the course of a week now.

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<v Speaker 3>The volatility has been there to see on a day

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<v Speaker 3>to day basis, and we rode higher at the start

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<v Speaker 3>where we've just come off with some of those highs.

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<v Speaker 3>Of course, a dollar strength is going to mean a

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<v Speaker 3>bit of a bitcoin weakness, But what are you watching.

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<v Speaker 5>We have a lot of technology stories to bring you

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<v Speaker 5>this Friday. Apple is an interesting one, up seven ten

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<v Speaker 5>to one percent after a four percent jump Thursday, which

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<v Speaker 5>I think was the biggest jump since May of last year.

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<v Speaker 4>Bloombos Mark German.

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<v Speaker 5>Is reporting a complete overhaul of the Mac line, and

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<v Speaker 5>we'll talk to Mark a little bit later in the program.

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<v Speaker 5>Alphabet Paarent of Google down a percentage twenty is giving

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<v Speaker 5>us a little bit back after hitting the two trillion

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<v Speaker 5>dollar market cap mark Thursday. Recently, a lot more optimism

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<v Speaker 5>that Google's starting to get it right on AI. They'll

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<v Speaker 5>actually have products, particularly in the enterprise or commercial use case.

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<v Speaker 5>But pulling back a little bit this Friday after a

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<v Speaker 5>key milestone, we're keeping our.

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<v Speaker 4>Eyes on the banks.

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<v Speaker 5>Bank earnings kind of kick us off for earnings. Overall,

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<v Speaker 5>you can see us kind of mixed fortunes, all of

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<v Speaker 5>these three names moving to the downside going into it

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<v Speaker 5>for us, so Blomow Technology AI. What's happening with aim

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<v Speaker 5>banks was a big theme, but they all have their

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<v Speaker 5>own individual stories.

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<v Speaker 4>I'm not going to tell you the story.

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<v Speaker 5>Bloomberg Shnali Bassak the correct person to bring us the banks,

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<v Speaker 5>Rap joins us on set in New York and she

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<v Speaker 5>brings you this story Snali, three big names, both moving lower,

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<v Speaker 5>all moving lower.

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<v Speaker 6>Yeah, all moving lower. And remember that is a little

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<v Speaker 6>bit of a reversal. City Group had beat profit estimates

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<v Speaker 6>here and we did see an earlier gain. Remember the

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<v Speaker 6>market is lower on the day, but some of the

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<v Speaker 6>declines they're seeing are quite stark. JP Morgan, for example,

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<v Speaker 6>Intra Day is having its worst day since March of

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<v Speaker 6>twenty twenty three, when we know times are very different.

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<v Speaker 3>Remember ed we have JP.

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<v Speaker 6>Morgan coming off six consecutive years of record revenue. So

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<v Speaker 6>the big question is when analysts had expected them to

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<v Speaker 6>raise the bar on that interest income, are they just

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<v Speaker 6>being conservative when they have not done so, or are

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<v Speaker 6>we seeing a consumer that is starting to, if not

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<v Speaker 6>tap out, start to slow down a little bit in

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<v Speaker 6>the way that they are starting to borrow and spend

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<v Speaker 6>on those credit card businesses in particular. Now, some positive

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<v Speaker 6>news for anyone watching Woomberg Technology in particular is you

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<v Speaker 6>do see an uptick here in those underwriting businesses. IPOs

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<v Speaker 6>are back baby, and you are seeing it in the

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<v Speaker 6>number of big banks, and certainly you don't see the

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<v Speaker 6>advisory fees jumping back just as strong yet, but they're

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<v Speaker 6>pretty optimistic over there at JP Morgan what things are

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<v Speaker 6>starting to look like in investment banking.

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<v Speaker 3>And you didn't even mention Ai Shanana Bassec. We thank

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<v Speaker 3>you so much for bring us the latest on and

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<v Speaker 3>earnings context, and of course we brace ourselves for the

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<v Speaker 3>technology earnings to start coming thick and fast at the

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<v Speaker 3>end of next week. But for now we're focused in

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<v Speaker 3>on basically all of the chip set to under propressure.

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<v Speaker 3>We shine a light on Intel off by three point

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<v Speaker 3>four percent, AMD, one of your worst performers, off by

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<v Speaker 3>almost four percent. But in fact, every single member of

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<v Speaker 3>the Semiconductor Index of Philadelphia Semiconductor Index is in the

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<v Speaker 3>red on Semi off by more than four percent. But

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<v Speaker 3>really this is as we see the reporting coming from

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<v Speaker 3>the Wall Street Journal at the moment ed Beijing ordering

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<v Speaker 3>Telecoon carriage, China Mobile and the likes to say no

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<v Speaker 3>to foreign chips in their core networks by twenty twenty seven.

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<v Speaker 3>This is really notable, but perhaps.

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<v Speaker 5>Unsupp Yeah, it is another development in China's effort to

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<v Speaker 5>onshore their own semiconductor industry. Right, so the journal one

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<v Speaker 5>key part of their report is that actually the Ministry

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<v Speaker 5>for Industry and Information Technology has given a timeline, call

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<v Speaker 5>it a timeline or a deadline for not just China Mobile,

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<v Speaker 5>but China Unicorn and China Telecom Corp. To swap out

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<v Speaker 5>foreign chips, those being US chipmakers AMD Intel get twenty

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<v Speaker 5>five percent revenue historically from China on the more commercial

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<v Speaker 5>use case for chips and put in a domestic one.

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<v Speaker 5>The question really is is there a domestic supply chain

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<v Speaker 5>ready to support that.

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<v Speaker 3>By twenty twenty seven They often might well hope so.

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<v Speaker 3>And it's interesting and that almost front running. This was

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<v Speaker 3>a great piece out of Bloomberg Intelligence to showing that

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<v Speaker 3>Chinese export curbs are actually more of a risk the

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<v Speaker 3>US export curbs at the moment. This is a tip

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<v Speaker 3>for tat that you and I have been reporting on

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<v Speaker 3>since we start first got together back in twenty twenty

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<v Speaker 3>two of this technology show and really thinking about how

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<v Speaker 3>US trying to restrain some of its own technology going

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<v Speaker 3>into China. Well, unsurprisingly China is going to be doing

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<v Speaker 3>the same in reverse, but this time actually BI saying

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<v Speaker 3>China's export restrictions is going to be key policy risk

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<v Speaker 3>to some of the US chip manufacturers that have in

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<v Speaker 3>recent years built up their overall supply chain dependency on China.

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<v Speaker 3>So I think that's a really another interesting shoot drop

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<v Speaker 3>at the moment, whether it's export restrictions, whether it's at

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<v Speaker 3>the moment import restrictions coming from China of US tech, I.

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<v Speaker 5>Think we should just get to someone who's got skin

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<v Speaker 5>in the game joining us now is Alison Porter, portfolio

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<v Speaker 5>manager on the Global Technology Leaders and Sustainable Future Technology

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<v Speaker 5>Funds at Janis Henderson, and I think I'm right in

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<v Speaker 5>saying if we just pick out AMD as an example,

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<v Speaker 5>it's one name.

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<v Speaker 4>That you have exposure to, it that you hold.

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<v Speaker 5>You know, the journal is reporting one specific industry case

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<v Speaker 5>of a much broader thing where China wants its domestic

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<v Speaker 5>entities to use domestic chips.

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<v Speaker 4>Your response to.

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<v Speaker 1>That, well, you know, I would put a little bit

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<v Speaker 1>of this into context. China top down are doing foreign

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<v Speaker 1>chips and tailcos. We don't see it as being, you know,

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<v Speaker 1>a huge change because essentially that's a market that has

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<v Speaker 1>been dominated by WAWI and the use of those and

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<v Speaker 1>the use of in house chips has been around for

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<v Speaker 1>a number of years now since chip companies were banned

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<v Speaker 1>from supporting Bowies five G rollout and really in terms

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<v Speaker 1>of China tail Co five D spend that actually peaked

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<v Speaker 1>some time ago, and other areas like f PGAs you know,

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<v Speaker 1>they've had a significant inventry correction.

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<v Speaker 7>And for you know China who may want to replace

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<v Speaker 7>US chips, but.

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<v Speaker 1>Again you know actually using seven nanometer chips domestically, they

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<v Speaker 1>don't have that supply yet.

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<v Speaker 7>So I think for them to get to five and

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<v Speaker 7>meter athena animeter, you're.

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<v Speaker 1>Going to need You're going to need those for sixty deployment,

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<v Speaker 1>which will ultimately need US chips by that time period.

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<v Speaker 1>So you know, we think this is ongoing and wrangling,

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<v Speaker 1>but in terms of the end markets, it's not hugely

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<v Speaker 1>significant for the areas that we're focused on.

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<v Speaker 3>Let's go to where you're focused there for Allison, because

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<v Speaker 3>all of this comes in a current context of a

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<v Speaker 3>threat over supply. We are all envisioning a whole new

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<v Speaker 3>world on which we're going to be living in thanks

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<v Speaker 3>to generative artificial intelligence. But we need the chips, need

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<v Speaker 3>the supply chain, we need to be building these things,

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<v Speaker 3>We need the energy. Alison, what chip names are going

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<v Speaker 3>to be doing well in spite of geopolitical headwinds.

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<v Speaker 1>Well, you know, when I started looking at technology stocks

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<v Speaker 1>back in nineteen eighty six, I think about over a

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<v Speaker 1>third of chip supply and was actually built in the

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<v Speaker 1>US over thirty percent, and way forward to the pandemic.

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<v Speaker 7>And that was down to twelve percent.

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<v Speaker 1>So we see this ongoing focus of deglobalization. That's part

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<v Speaker 1>of national security, it's part of national interest for AI.

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<v Speaker 7>It's also part of the overall focus.

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<v Speaker 1>On improving supply chain standards ESDUY standards throughout the technology

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<v Speaker 1>resupply chain.

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<v Speaker 7>And therefore we.

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<v Speaker 1>Think that actually manufacturing is becoming a more competitive advantage

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<v Speaker 1>more difficult to replicate. Many contract manufacturers, for example Jabel,

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<v Speaker 1>Flixtronic the ability to be able to manufacture at scale.

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<v Speaker 1>These companies have much lower margins and traditionally that could

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<v Speaker 1>be easily moved around from competitors, but that's now becoming

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<v Speaker 1>much more difficult at scale for many of the large

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<v Speaker 1>OEMs to actually move their manufacturing capacity stay around.

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<v Speaker 7>So we think that's one way that we see deglobalization.

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<v Speaker 1>The chips AC actually play into year companies manufacture.

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<v Speaker 3>As a global technology leaders and sustainable future tech fund

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<v Speaker 3>Then do you worry that you're going to have to

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<v Speaker 3>be sacrificing margin on some of the companies that you

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<v Speaker 3>are investing in globally because they're having to you know,

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<v Speaker 3>manufacture in more expensive places to secure supply chain or

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<v Speaker 3>can you play start to play out well opportunities more

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<v Speaker 3>globally that are being overlooked as we've all just focused

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<v Speaker 3>in on a so called Magnificent seven.

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<v Speaker 1>Yeah, I mean, I think there's you know, a significant

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<v Speaker 1>focus on margins and efficiency. You know, the Morgan Stanley

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<v Speaker 1>Technology Conference in March showed that where you know, the

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<v Speaker 1>two most name terms from all of the presentations at

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<v Speaker 1>that conference, it weren't AI, it wasn't chipsacked, it was

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<v Speaker 1>in fact, margins and efficiency. And you see, you know,

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<v Speaker 1>I think that's one of the really interesting aspects of

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<v Speaker 1>where we are just now because we have a major

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<v Speaker 1>new technology weave. But that's also hesting at a time

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<v Speaker 1>when you know, we have this rising cost of capital

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<v Speaker 1>and companies are really focused on efficiencies and improving margins,

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<v Speaker 1>and that creates really interesting opportunities for investors.

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<v Speaker 7>And it's a real stockpickers market, so it's.

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<v Speaker 1>Not easy to generalize on sub sectors. It's very much

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<v Speaker 1>about you know, active management, which is quite typical when

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<v Speaker 1>we hit these technology inflection points.

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<v Speaker 5>In this stock pickers market. Should you pick Apple? Apple

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<v Speaker 5>is becoming increasingly attractive, it seems to you, guys, twelve

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<v Speaker 5>month forward pay of twenty five times it had been downtrodden.

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<v Speaker 5>Now is it a good name?

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<v Speaker 1>We own Apple within our portfolio, but it's not been

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<v Speaker 1>one of our largest holdings for quite some time.

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<v Speaker 7>Apple's a tremendous company.

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<v Speaker 1>It led technology in each of the last three ways,

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<v Speaker 1>you know, through the PC wave, the mobile Internet. They

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<v Speaker 1>were all really started by catalysts from product catalysts from Apple.

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<v Speaker 7>Let's AI.

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<v Speaker 1>We've was started by the product catalysts of Microsoft Chat,

0:12:10.679 --> 0:12:14.880
<v Speaker 1>GPT and Open AI, and also in Vidia on Silicon

0:12:15.080 --> 0:12:18.840
<v Speaker 1>and Apple's role and AI has yet to be defined,

0:12:18.880 --> 0:12:22.199
<v Speaker 1>and we're sure that over the longer term they will

0:12:22.240 --> 0:12:24.920
<v Speaker 1>continue to innovate, but right now they're not one of

0:12:25.000 --> 0:12:29.200
<v Speaker 1>the early drivers of their genera to the IWAVE as.

0:12:29.040 --> 0:12:31.720
<v Speaker 3>A sumporter, just a joy to have you on. Thank

0:12:31.760 --> 0:12:34.520
<v Speaker 3>you Janis Henderson talking us through the winners and the

0:12:34.520 --> 0:12:36.320
<v Speaker 3>losers you're looking at in the moment. And look, we

0:12:36.360 --> 0:12:38.840
<v Speaker 3>were just finishing there on Apple and its focus or

0:12:38.920 --> 0:12:41.520
<v Speaker 3>like thereof on AI. Let's just talk about Apple overhauling

0:12:41.520 --> 0:12:45.800
<v Speaker 3>therefore its entire magline with in house processes that, guess what,

0:12:45.920 --> 0:12:48.240
<v Speaker 3>focus on artificial intelligence. We're going to bring you the

0:12:48.320 --> 0:13:01.480
<v Speaker 3>details next. This is BLUEBG Technology. It's looking to boost

0:13:01.520 --> 0:13:04.360
<v Speaker 3>some lagging computer sales with an overhaul of its entire

0:13:04.440 --> 0:13:08.400
<v Speaker 3>Mac line, planning to unveil an AI focused M four processor.

0:13:08.760 --> 0:13:11.760
<v Speaker 3>Apple is aiming to release the updated computers beginning actually

0:13:11.840 --> 0:13:14.600
<v Speaker 3>late this year extending into early next year. Joining us

0:13:14.679 --> 0:13:17.720
<v Speaker 3>now with this scoop of course, Roomberg's Mark German and Mark,

0:13:18.080 --> 0:13:21.160
<v Speaker 3>this is a very quick upgrade. Basically the cycle is

0:13:21.160 --> 0:13:21.680
<v Speaker 3>so short.

0:13:22.800 --> 0:13:24.160
<v Speaker 8>Yeah, good morning, thank you for having me.

0:13:24.200 --> 0:13:26.360
<v Speaker 9>I mean, Apple Silicon started off on about a one

0:13:26.400 --> 0:13:28.720
<v Speaker 9>point five year, one and a half year upgrade cycle,

0:13:29.080 --> 0:13:31.800
<v Speaker 9>and they've accelerated that. The M three chips came a

0:13:31.840 --> 0:13:35.960
<v Speaker 9>little sooner than anticipated in October of twenty twenty three.

0:13:35.960 --> 0:13:38.480
<v Speaker 8>So just about six months ago. Now the M four.

0:13:38.400 --> 0:13:40.199
<v Speaker 9>Chips are going to be coming even sooner than that,

0:13:40.360 --> 0:13:43.640
<v Speaker 9>coming about one year after the M three processors. So

0:13:43.679 --> 0:13:47.920
<v Speaker 9>they're planning new Imax Macminie's low and macropros high end

0:13:47.920 --> 0:13:51.199
<v Speaker 9>nec pros. Like you said, for release between the end

0:13:51.200 --> 0:13:53.760
<v Speaker 9>of twenty four and early twenty five. So this is

0:13:53.800 --> 0:13:57.319
<v Speaker 9>an accelerated timeline. And it's interesting because this is now

0:13:57.400 --> 0:14:01.200
<v Speaker 9>matching the timeline of processor upgrades that you see on

0:14:01.320 --> 0:14:04.120
<v Speaker 9>the iPhone and that you once saw on the iPad

0:14:04.160 --> 0:14:04.920
<v Speaker 9>but no longer.

0:14:05.320 --> 0:14:06.880
<v Speaker 8>And this is pretty significant.

0:14:07.040 --> 0:14:10.360
<v Speaker 9>In house silicon is becoming an even more important part

0:14:10.480 --> 0:14:13.720
<v Speaker 9>of the company's story. There are other companies that are

0:14:13.720 --> 0:14:15.760
<v Speaker 9>so hyper focused on the cloud and such.

0:14:15.800 --> 0:14:18.280
<v Speaker 8>Apple is still focused on in device chips.

0:14:19.320 --> 0:14:21.600
<v Speaker 4>I think that's where we should focus mark.

0:14:21.640 --> 0:14:25.560
<v Speaker 5>Our last guest, Alison Porter at Janis, is an Apple shareholder,

0:14:26.000 --> 0:14:28.320
<v Speaker 5>and what she just told us is that to her mind,

0:14:28.400 --> 0:14:32.280
<v Speaker 5>Apple's role in AI has yet to be defined. But

0:14:32.360 --> 0:14:35.000
<v Speaker 5>I look at where the stock closed Thursday after you

0:14:35.080 --> 0:14:39.200
<v Speaker 5>published your report, and again the momentum today, and I

0:14:39.200 --> 0:14:42.200
<v Speaker 5>think the market sees an AI story. What are you

0:14:42.240 --> 0:14:44.640
<v Speaker 5>hearing internally at Apple about this side of it?

0:14:46.960 --> 0:14:50.800
<v Speaker 9>The AI story at Apple exists, and it's almost the

0:14:50.880 --> 0:14:53.360
<v Speaker 9>complete opposite of what you're seeing from other companies.

0:14:53.680 --> 0:14:54.680
<v Speaker 8>There's so much hype.

0:14:54.520 --> 0:14:58.240
<v Speaker 9>Around in Nvidia because of their cloud infrastructure that powers

0:14:58.320 --> 0:14:59.320
<v Speaker 9>artificial intelligence.

0:14:59.360 --> 0:15:02.640
<v Speaker 8>There's Chat, g ABT and Gemini. Those are all cloud products.

0:15:02.760 --> 0:15:06.360
<v Speaker 9>Apple's LM is an on device approach, meaning it runs

0:15:06.480 --> 0:15:09.440
<v Speaker 9>entirely on the device, which makes it more privacy centric,

0:15:09.480 --> 0:15:13.160
<v Speaker 9>but also in some cases it can perform actions far

0:15:13.240 --> 0:15:15.640
<v Speaker 9>quickly there is no lag time because it's on the

0:15:15.680 --> 0:15:18.960
<v Speaker 9>devices themselves. And these new AI chips are the upgraded

0:15:19.000 --> 0:15:22.280
<v Speaker 9>AI components that you're seeing on the M four during

0:15:22.320 --> 0:15:25.400
<v Speaker 9>later this year, as well as the aaighteen pro chip

0:15:26.080 --> 0:15:29.360
<v Speaker 9>that you'll see in the iPhone sixteen Pro and Promax

0:15:29.440 --> 0:15:34.480
<v Speaker 9>Leader this year. Upgraded neural engines, improved processing, improved microphones

0:15:34.760 --> 0:15:38.800
<v Speaker 9>to really optimize artificial intelligence and serri on a device. Now,

0:15:38.960 --> 0:15:41.520
<v Speaker 9>we should note that Apple has been shipping neural engines

0:15:41.560 --> 0:15:44.640
<v Speaker 9>those AI blocks inside of their chips for several years now,

0:15:44.680 --> 0:15:47.920
<v Speaker 9>but this is going to be dubbed the biggest upgrade

0:15:47.920 --> 0:15:50.400
<v Speaker 9>to the neural engine since that component was first released

0:15:50.400 --> 0:15:51.040
<v Speaker 9>several years ago.

0:15:52.000 --> 0:15:55.240
<v Speaker 5>Blue bos Mark German brilliant, thank you. Coming up on

0:15:55.280 --> 0:15:58.360
<v Speaker 5>the show Docu sign unveiling a new platform and an

0:15:58.360 --> 0:16:01.120
<v Speaker 5>expansion of his company's rategy. We're going to discuss that

0:16:01.160 --> 0:16:04.760
<v Speaker 5>with the CEO, Alan Tigerson. That's next. This is Bloomberg,

0:16:19.720 --> 0:16:22.120
<v Speaker 5>this is Talking Tech and in the news Tokyo based

0:16:22.160 --> 0:16:27.280
<v Speaker 5>startup Sakana AI is capitalizing on surging interest from Japanese firms.

0:16:27.320 --> 0:16:30.160
<v Speaker 4>Founded by ex Google researchers.

0:16:29.680 --> 0:16:34.240
<v Speaker 5>Sicana won government supercomputer grants and partnerships with blue chip companies.

0:16:34.280 --> 0:16:38.080
<v Speaker 5>This isn't an effort to build out Japan's AI ecosystem.

0:16:38.280 --> 0:16:42.520
<v Speaker 5>Sakana uses small data sets to train low cost GENAI

0:16:42.600 --> 0:16:45.160
<v Speaker 5>models that could be used to ramp up a company's

0:16:45.400 --> 0:16:46.680
<v Speaker 5>AI capabilities.

0:16:46.760 --> 0:16:48.240
<v Speaker 4>Plus, Samsung is.

0:16:48.160 --> 0:16:50.800
<v Speaker 5>Set to unveil a forty four billion dollar push into

0:16:51.000 --> 0:16:54.600
<v Speaker 5>US chip making as soon as next week. According to sources,

0:16:54.960 --> 0:16:58.440
<v Speaker 5>they're going to outline a project in Taylor, Texas, after

0:16:58.520 --> 0:17:00.200
<v Speaker 5>securing more than six billion.

0:17:00.520 --> 0:17:01.520
<v Speaker 4>From government grants.

0:17:01.600 --> 0:17:04.440
<v Speaker 5>The award marks the latest push from the Biden administration

0:17:04.760 --> 0:17:08.439
<v Speaker 5>to revitalize chip making in the United States, and the

0:17:08.480 --> 0:17:12.120
<v Speaker 5>House is set to try again on advancing the reauthorization

0:17:12.280 --> 0:17:16.280
<v Speaker 5>of a US spy bill. The Foreign Intelligent Surveillance Act,

0:17:16.320 --> 0:17:19.639
<v Speaker 5>failed to reach the floor on Wednesday over GOP concerns

0:17:19.640 --> 0:17:23.719
<v Speaker 5>of privacy and section seven zero two that provision allows

0:17:23.760 --> 0:17:28.360
<v Speaker 5>the surveillance of foreign targets and the potential to warrant

0:17:28.400 --> 0:17:31.399
<v Speaker 5>leslie survey americans in contact with them.

0:17:31.440 --> 0:17:33.280
<v Speaker 4>The bill underwent a revision.

0:17:33.200 --> 0:17:36.320
<v Speaker 5>To a two year period from five in an attempt

0:17:36.480 --> 0:17:38.879
<v Speaker 5>to swing its Republican critics.

0:17:38.920 --> 0:17:43.200
<v Speaker 3>Caroline, let's move away from politics to product announcements. Now

0:17:43.280 --> 0:17:46.800
<v Speaker 3>dog you sign holdings and it's just annual Momentum Music

0:17:46.840 --> 0:17:49.439
<v Speaker 3>conference this week, and it set us up with some

0:17:49.480 --> 0:17:53.960
<v Speaker 3>new products that include an intelligent agreement management platform. I'll

0:17:53.960 --> 0:17:57.160
<v Speaker 3>stick into exactly what that is, Doc sign CEO Alan Tinkerson,

0:17:57.200 --> 0:18:01.640
<v Speaker 3>and please to welcome you, thanks for joining category. It's

0:18:01.680 --> 0:18:03.840
<v Speaker 3>different from what people already experience.

0:18:04.680 --> 0:18:07.840
<v Speaker 2>Well, so people know us mostly for a signature and

0:18:07.880 --> 0:18:10.200
<v Speaker 2>that will continue. But if you think about agreements, they

0:18:10.240 --> 0:18:13.159
<v Speaker 2>go to an entire journey, and there is pain and

0:18:13.200 --> 0:18:15.560
<v Speaker 2>inefficiency at every point in that journey. If you think

0:18:15.560 --> 0:18:18.959
<v Speaker 2>about salespeople from when they maybe reach agreement and principle

0:18:19.000 --> 0:18:21.240
<v Speaker 2>to when they can finally sign an agreement, or a

0:18:21.280 --> 0:18:23.800
<v Speaker 2>purchasing manager who's trying to figure out whether their vendors

0:18:23.840 --> 0:18:26.600
<v Speaker 2>are living up to their obligations, or a recruiter trying

0:18:26.640 --> 0:18:29.080
<v Speaker 2>to close a candidate, those are all at their core

0:18:29.280 --> 0:18:33.480
<v Speaker 2>agreement problems. And we are delivering a suite to help

0:18:33.600 --> 0:18:37.880
<v Speaker 2>companies solve their entire range of agreement problems and so.

0:18:37.800 --> 0:18:40.199
<v Speaker 3>I'm a company, I have suddenly a central depository. I

0:18:40.240 --> 0:18:42.800
<v Speaker 3>know exactly where all of my legal agreements are, and

0:18:42.840 --> 0:18:46.080
<v Speaker 3>I can use generative AI to summarize them to ensure

0:18:46.119 --> 0:18:48.640
<v Speaker 3>that I'm learning the most see whether ensure that they're

0:18:48.640 --> 0:18:52.359
<v Speaker 3>basically following a theme, all in line and purpose. Why

0:18:52.440 --> 0:18:54.760
<v Speaker 3>is this different from what perhaps when you unveil it

0:18:54.800 --> 0:18:57.000
<v Speaker 3>in late May, what box cauld suddenly bring us with

0:18:57.080 --> 0:18:59.960
<v Speaker 3>their central repository system and suddenly bring in GENAI.

0:19:00.240 --> 0:19:02.400
<v Speaker 2>Yes, well, there are lots of folks who do storage

0:19:02.760 --> 0:19:05.760
<v Speaker 2>and more generally manage documents.

0:19:05.359 --> 0:19:07.240
<v Speaker 10>But agreements are very, very unique.

0:19:07.359 --> 0:19:09.520
<v Speaker 2>They have a particular structure, there's a tremendous amount of

0:19:09.560 --> 0:19:12.199
<v Speaker 2>data in and you need to understand the context. And

0:19:12.240 --> 0:19:14.879
<v Speaker 2>so we are I think experts are that the largest players.

0:19:14.880 --> 0:19:17.639
<v Speaker 2>So they've focused on agreements and have a tremendous amount

0:19:17.640 --> 0:19:21.040
<v Speaker 2>of domain knowledge, understanding of the intricacy of agreements. And

0:19:21.119 --> 0:19:24.160
<v Speaker 2>there's also workflow associated agreements, and then we're bringing out

0:19:24.200 --> 0:19:27.280
<v Speaker 2>tools to help companies deliver those in a much more

0:19:27.280 --> 0:19:28.720
<v Speaker 2>delightful and digitally neative way.

0:19:30.160 --> 0:19:34.399
<v Speaker 5>Alan, Good morning, Zed in San Francisco. In the history

0:19:34.400 --> 0:19:38.200
<v Speaker 5>of technology, there are companies that completely reinvent themselves, right.

0:19:38.200 --> 0:19:39.680
<v Speaker 4>Take BlackBerry as an example.

0:19:40.119 --> 0:19:44.160
<v Speaker 5>You used to make smartphones, it now largely makes automotive software.

0:19:45.440 --> 0:19:49.119
<v Speaker 5>The E signature product is still everything for you guys.

0:19:49.400 --> 0:19:51.600
<v Speaker 5>But I wonder if you are trying to tell your

0:19:51.600 --> 0:19:54.440
<v Speaker 5>investors you're used as your audience, that you see a

0:19:54.480 --> 0:19:58.200
<v Speaker 5>future for DocuSign where it's something different beyond E signature,

0:19:58.480 --> 0:20:00.960
<v Speaker 5>where the main business is not E signature.

0:20:01.720 --> 0:20:04.960
<v Speaker 2>Well, certainly beyond these signature, but E Signature will be

0:20:05.200 --> 0:20:07.600
<v Speaker 2>critical to docu sign for years to come. It's such

0:20:07.600 --> 0:20:10.720
<v Speaker 2>a valuable product, solves such a unique pain point very well,

0:20:11.119 --> 0:20:13.720
<v Speaker 2>and after all, the signature moment is a pivotal to

0:20:13.720 --> 0:20:17.000
<v Speaker 2>have the highest value moment in that agreement journey. What

0:20:17.040 --> 0:20:19.360
<v Speaker 2>we're doing here is where we are expanding and providing

0:20:19.359 --> 0:20:22.680
<v Speaker 2>a full suite of offerings related to every step in

0:20:22.720 --> 0:20:25.240
<v Speaker 2>the agreement journey. No one has done that before. I

0:20:25.240 --> 0:20:27.399
<v Speaker 2>think we're the best position to do it. We have

0:20:27.480 --> 0:20:29.840
<v Speaker 2>the trust, we have the customer reach and the expertise,

0:20:30.280 --> 0:20:33.080
<v Speaker 2>and we're benefiting from recent developments in AI and so

0:20:33.119 --> 0:20:35.200
<v Speaker 2>we're bringing all that to the table and I think

0:20:35.240 --> 0:20:36.000
<v Speaker 2>now it's our moment.

0:20:37.119 --> 0:20:39.280
<v Speaker 5>Alan, You've told a lot about doc You sign being

0:20:39.320 --> 0:20:43.160
<v Speaker 5>in transition. In considering where you are in that transition,

0:20:43.280 --> 0:20:47.480
<v Speaker 5>give yourself a scorecard ABC on your performance and where

0:20:47.480 --> 0:20:50.479
<v Speaker 5>you've been in delivering that well.

0:20:50.600 --> 0:20:53.080
<v Speaker 2>I like to measure outcomes, so I was certainly wouldn't

0:20:53.119 --> 0:20:55.639
<v Speaker 2>hear myself at a yet. I think we are making

0:20:55.680 --> 0:20:56.520
<v Speaker 2>really good progress.

0:20:56.600 --> 0:20:57.080
<v Speaker 10>Give it a bit.

0:20:57.160 --> 0:21:00.679
<v Speaker 2>We have done I think an excellent job idolizing the

0:21:00.720 --> 0:21:04.680
<v Speaker 2>innovation engine now bringing out a really really robust suite

0:21:04.760 --> 0:21:08.640
<v Speaker 2>of products informed by years of customer feedback and tremendous

0:21:08.680 --> 0:21:11.840
<v Speaker 2>engagement for beta customers. And now it's time to take

0:21:11.880 --> 0:21:13.960
<v Speaker 2>that to market and roll it out across all of

0:21:14.000 --> 0:21:17.359
<v Speaker 2>the customer segments and geographies and industries that Docu Science serves,

0:21:17.560 --> 0:21:20.000
<v Speaker 2>and that will be a multi year journey. So certainly

0:21:20.000 --> 0:21:22.760
<v Speaker 2>not job's not done yet, but this is a major

0:21:22.800 --> 0:21:25.520
<v Speaker 2>milestone for us, and we're very excited about what the

0:21:25.520 --> 0:21:26.159
<v Speaker 2>future holds.

0:21:26.840 --> 0:21:28.800
<v Speaker 3>It comes to bear and you may come and tell

0:21:28.840 --> 0:21:30.720
<v Speaker 3>us how it all goes. Antikason, it's so great to

0:21:30.760 --> 0:21:32.320
<v Speaker 3>have some time with you. Thank you for stopping by

0:21:32.320 --> 0:21:40.160
<v Speaker 3>the studio. Docu Signed CEO.

0:21:42.040 --> 0:21:45.159
<v Speaker 5>Welcome back to Bloomberg Technology. Ed Ludlow here in San Francisco,

0:21:45.240 --> 0:21:45.919
<v Speaker 5>car and Hid.

0:21:45.800 --> 0:21:46.200
<v Speaker 10>In New York.

0:21:46.320 --> 0:21:48.360
<v Speaker 3>Quick check on these markets as we head towards the weekend,

0:21:48.400 --> 0:21:51.040
<v Speaker 3>and some caution in those markets risk aversion as we

0:21:51.320 --> 0:21:54.480
<v Speaker 3>worry about geopolitical risks Israel around front of mind for many.

0:21:54.480 --> 0:21:57.400
<v Speaker 3>We're seeing tech slocks all the benchmarks and in equities

0:21:57.440 --> 0:21:59.920
<v Speaker 3>actually down amid some of that taking risk of the

0:22:00.040 --> 0:22:01.919
<v Speaker 3>table as money goes into the one market, into the

0:22:01.960 --> 0:22:04.280
<v Speaker 3>US dollar for example, or off by some seven basis points.

0:22:04.400 --> 0:22:07.000
<v Speaker 3>But tech also getting dragged down by Chips. I'll speak

0:22:07.000 --> 0:22:09.080
<v Speaker 3>to that in a moment. Looking at Bitcoin, another key

0:22:09.160 --> 0:22:11.760
<v Speaker 3>risk asset, just lower as the dollar goes higher. On

0:22:11.760 --> 0:22:13.560
<v Speaker 3>some of this risker version. We're off by more than

0:22:13.600 --> 0:22:15.600
<v Speaker 3>a percentage point, but basically flat over the last five

0:22:15.600 --> 0:22:17.840
<v Speaker 3>trading days. Move on, have a little look what's happening

0:22:17.880 --> 0:22:20.480
<v Speaker 3>on the individual movers because for once, actually Apple is

0:22:20.520 --> 0:22:22.560
<v Speaker 3>on the higher side. We're still one hundred and seventy

0:22:22.600 --> 0:22:24.680
<v Speaker 3>six there or thereabouts. But this as we understand, thanks

0:22:24.720 --> 0:22:27.600
<v Speaker 3>to Mark German, they are looking to overhaul the processes

0:22:27.640 --> 0:22:29.720
<v Speaker 3>within some of their Mac lineup and four coming to

0:22:29.760 --> 0:22:33.160
<v Speaker 3>the fore and indeed AI front and center on your computer.

0:22:33.400 --> 0:22:36.159
<v Speaker 3>We're up by seven tens of percent. Socks, so Chip stocks.

0:22:36.160 --> 0:22:38.760
<v Speaker 3>In fact, every single member of this particular index is

0:22:38.800 --> 0:22:41.719
<v Speaker 3>in the red today. Why Wall Street Journal reporting that

0:22:41.840 --> 0:22:43.720
<v Speaker 3>China is now looking to fight back when it comes

0:22:43.720 --> 0:22:45.720
<v Speaker 3>to that tip for TAT and chip access and they're

0:22:45.760 --> 0:22:48.960
<v Speaker 3>saying to their Chinese cellcom giants, don't have foreign made

0:22:49.000 --> 0:22:52.240
<v Speaker 3>chips by twenty twenty seven into your overall networks. That's

0:22:52.320 --> 0:22:56.560
<v Speaker 3>sending AMD Intel in particular to the downside. This one's interesting.

0:22:56.680 --> 0:22:59.120
<v Speaker 3>It's basically been a mean stock of choice of late

0:22:59.320 --> 0:23:03.280
<v Speaker 3>Destiny one hundred d XYZ. It's a closed then fund

0:23:03.320 --> 0:23:06.000
<v Speaker 3>that gets you access to privately held companies if you

0:23:06.040 --> 0:23:08.840
<v Speaker 3>want to gain access to the likes of Malplaid or

0:23:09.240 --> 0:23:12.720
<v Speaker 3>whether it's Stripe, whether it's Open Ai, whether it's SpaceX. Well,

0:23:12.760 --> 0:23:14.960
<v Speaker 3>this has been a way of doing it, but it's

0:23:14.960 --> 0:23:18.760
<v Speaker 3>made itself a mean frenzy retail investors piling in one

0:23:18.840 --> 0:23:21.879
<v Speaker 3>thousand percent increase at one percent at point, having just

0:23:21.920 --> 0:23:23.879
<v Speaker 3>listed in the last month or so, we're down by

0:23:23.920 --> 0:23:26.560
<v Speaker 3>twenty two percent. But ed, it's not the only investment

0:23:26.640 --> 0:23:27.199
<v Speaker 3>vehicle doing this.

0:23:27.640 --> 0:23:30.439
<v Speaker 5>Yeah, hold that thought on Destiny Tech one hundred. We

0:23:30.480 --> 0:23:33.800
<v Speaker 5>will come back to it. Kafe Woods Arc Investment Management

0:23:34.119 --> 0:23:36.720
<v Speaker 5>has also announced that it holds a stake in open

0:23:36.760 --> 0:23:40.000
<v Speaker 5>Ai through its venture fund in a bet that the

0:23:40.040 --> 0:23:43.560
<v Speaker 5>AI industry will remake the tech landscape. Joining us now

0:23:44.000 --> 0:23:48.359
<v Speaker 5>is Brett Winton, who is our chief futurists also a

0:23:48.400 --> 0:23:50.520
<v Speaker 5>member of the investment committee. And Brett, you and I

0:23:50.640 --> 0:23:54.000
<v Speaker 5>volte last night you got access to open ai, which

0:23:54.080 --> 0:23:57.760
<v Speaker 5>is a private company with a closed profit structure through

0:23:57.760 --> 0:24:01.320
<v Speaker 5>a special purpose vehicle SPV. But it's part of a

0:24:01.359 --> 0:24:04.480
<v Speaker 5>broader thesis around foundation models.

0:24:04.880 --> 0:24:07.160
<v Speaker 4>Give me the short version of the thesis.

0:24:08.320 --> 0:24:13.879
<v Speaker 11>Sure, AI software is going to revolutionize knowledge work and

0:24:15.840 --> 0:24:19.040
<v Speaker 11>thirteen trillion dollars is going to be spent on AI software,

0:24:19.160 --> 0:24:22.040
<v Speaker 11>and three trillion of that is going to flow into

0:24:22.480 --> 0:24:24.600
<v Speaker 11>kind of what we think of as foundation model. So

0:24:24.800 --> 0:24:27.920
<v Speaker 11>open ai and Andropic are the two most prominent examples

0:24:27.920 --> 0:24:30.360
<v Speaker 11>with the best models in the marketplace, both of which

0:24:30.359 --> 0:24:35.280
<v Speaker 11>are in the venture fund. And three trillion dollars translates

0:24:35.280 --> 0:24:38.679
<v Speaker 11>into an expectation for around sixteen trillion dollars in marketcap

0:24:39.080 --> 0:24:40.920
<v Speaker 11>attributable to those foundation models.

0:24:40.960 --> 0:24:41.480
<v Speaker 12>So to give you.

0:24:41.440 --> 0:24:44.040
<v Speaker 11>Context, the global equity market is a little more than

0:24:44.080 --> 0:24:47.880
<v Speaker 11>one hundred trillion dollars as of the end of last year,

0:24:48.480 --> 0:24:51.639
<v Speaker 11>and so sixteen trillion. You know, it's a big chunk,

0:24:52.440 --> 0:24:56.960
<v Speaker 11>almost sector sized in terms of our expectations for enterprise

0:24:57.080 --> 0:24:57.800
<v Speaker 11>value foot print.

0:24:58.720 --> 0:25:02.080
<v Speaker 5>Our venture fund is an interval fund which is made

0:25:02.119 --> 0:25:07.120
<v Speaker 5>of eighty percent eight zero percent private companies twenty percent public.

0:25:07.840 --> 0:25:10.200
<v Speaker 5>You can get access not just only to open AI,

0:25:10.280 --> 0:25:15.760
<v Speaker 5>but SpaceX and anthropic. Why is it different or not

0:25:16.040 --> 0:25:19.879
<v Speaker 5>the same as the Destiny Tech one hundred that Caroline

0:25:19.960 --> 0:25:23.120
<v Speaker 5>was just explaining at the start of the segment.

0:25:24.119 --> 0:25:30.320
<v Speaker 11>Because our interval fund is continuously offered. The price that

0:25:30.400 --> 0:25:33.239
<v Speaker 11>you pay when you buy it is reflective of the

0:25:33.359 --> 0:25:36.399
<v Speaker 11>value of the underlying securities in it. So if you

0:25:36.440 --> 0:25:40.560
<v Speaker 11>buy one hundred dollars of an interval fund, you get

0:25:40.560 --> 0:25:44.159
<v Speaker 11>one hundred dollars of net asset value. The Destiny Fund

0:25:45.119 --> 0:25:49.040
<v Speaker 11>has a net asset value of less than five dollars,

0:25:49.320 --> 0:25:52.720
<v Speaker 11>and they don't issue additional shares even if there's access demand.

0:25:53.080 --> 0:25:56.040
<v Speaker 11>So if you buy the Destiny Fund at fifty dollars,

0:25:56.400 --> 0:26:00.879
<v Speaker 11>you're paying, you know, fifty dollars for five five dollars

0:26:00.920 --> 0:26:05.320
<v Speaker 11>worth of exposure. Like that fund, roughly a little more

0:26:05.359 --> 0:26:08.800
<v Speaker 11>than a third is SpaceX, but by one hundred dollars

0:26:08.800 --> 0:26:12.600
<v Speaker 11>of that versus one hundred dollars of our venture fund,

0:26:12.720 --> 0:26:16.119
<v Speaker 11>you actually end up with more exposure to SpaceX and

0:26:16.200 --> 0:26:19.320
<v Speaker 11>our venture fund, which is just four point four percent

0:26:19.480 --> 0:26:22.600
<v Speaker 11>or roughly four percent of the venture fund. So it's

0:26:22.640 --> 0:26:26.280
<v Speaker 11>really actually understand people want to get access to innovation.

0:26:26.400 --> 0:26:28.080
<v Speaker 12>I think that's absolutely the right thing to.

0:26:28.040 --> 0:26:31.119
<v Speaker 11>Do, and you need to be careful about how you

0:26:31.200 --> 0:26:33.320
<v Speaker 11>get access to innovation. You should do so in a

0:26:33.359 --> 0:26:36.040
<v Speaker 11>way where you're not buying, you know, ten cents worth

0:26:36.119 --> 0:26:38.880
<v Speaker 11>of stuff for a dollar worth of spending, so.

0:26:38.840 --> 0:26:41.600
<v Speaker 3>It's kind of down to structure and huge premium that

0:26:41.600 --> 0:26:44.880
<v Speaker 3>you're currently seeing on dxyz. Do you also think it's

0:26:44.920 --> 0:26:48.840
<v Speaker 3>something to do with the narrative this blew up on

0:26:49.160 --> 0:26:54.160
<v Speaker 3>Reddit and other like minded, sort of retail focused areas.

0:26:54.600 --> 0:26:57.400
<v Speaker 3>Do you think that your own ARC venture investment fund

0:26:57.440 --> 0:26:58.040
<v Speaker 3>will do the same.

0:27:00.359 --> 0:27:04.639
<v Speaker 11>I mean I think that, you know, I think that

0:27:04.720 --> 0:27:08.040
<v Speaker 11>people are excited about innovation and they're looking for ways

0:27:08.040 --> 0:27:11.399
<v Speaker 11>to access it, and this happened to kind of flash

0:27:11.440 --> 0:27:15.000
<v Speaker 11>across social media channels in a way that inspired them

0:27:15.040 --> 0:27:17.480
<v Speaker 11>to be like, oh, yes, I want access to that company,

0:27:18.280 --> 0:27:21.920
<v Speaker 11>and conceptually they are, and actually practically there are much

0:27:22.040 --> 0:27:25.840
<v Speaker 11>much more efficient and better ways to express that point.

0:27:25.840 --> 0:27:30.680
<v Speaker 11>Of view, and I think you can't, Like, you can't

0:27:30.720 --> 0:27:35.240
<v Speaker 11>tell beforehand what's going to you know, take off on Reddit,

0:27:35.480 --> 0:27:37.960
<v Speaker 11>but you can tell when something is going to end

0:27:37.960 --> 0:27:41.760
<v Speaker 11>in tears for people. And so when you're buying ten

0:27:41.840 --> 0:27:44.439
<v Speaker 11>cents for a dollar, you end up at the end

0:27:44.480 --> 0:27:47.160
<v Speaker 11>of the day with something close to ten cents, even

0:27:47.160 --> 0:27:49.040
<v Speaker 11>if it doesn't trade that Like, there's all kinds of

0:27:49.040 --> 0:27:53.720
<v Speaker 11>ways in which that premium should diminish over the time.

0:27:54.320 --> 0:27:57.200
<v Speaker 11>And so I would advise you to pay at a dollar

0:27:57.200 --> 0:27:58.560
<v Speaker 11>and get the dollars worth of stuff.

0:28:00.240 --> 0:28:04.679
<v Speaker 3>Well said, sixteen trillion dollars by twenty thirty. That's an

0:28:04.800 --> 0:28:07.600
<v Speaker 3>arresting figure when you think of the overall market valuation

0:28:07.920 --> 0:28:10.600
<v Speaker 3>for these foundational models, do you wish you could access

0:28:10.680 --> 0:28:14.520
<v Speaker 3>more open AI and ultimately anthropic as well? When you're

0:28:14.520 --> 0:28:16.400
<v Speaker 3>thinking of the rest that makes up the fund. When

0:28:16.440 --> 0:28:19.120
<v Speaker 3>I'm looking at SpaceX, but epic games as well, free

0:28:19.160 --> 0:28:22.320
<v Speaker 3>noome holdings, relation therapeutics, how much do you want foundational

0:28:22.359 --> 0:28:24.600
<v Speaker 3>models the AI bet to take up of this fund.

0:28:26.119 --> 0:28:27.919
<v Speaker 11>Well, the way we think about it is there are

0:28:28.040 --> 0:28:32.000
<v Speaker 11>five major technology platforms entering the marketplace, and each has

0:28:32.160 --> 0:28:35.680
<v Speaker 11>the potential for amazing compounding returns. And you're better off

0:28:35.760 --> 0:28:42.200
<v Speaker 11>constructing a portfolio that has yes AI exposure and autonomous

0:28:42.280 --> 0:28:48.720
<v Speaker 11>mobility exposure and multio mix exposure, because those exposures could

0:28:48.760 --> 0:28:51.720
<v Speaker 11>independently fail. Like are we one hundred percent right on AI?

0:28:51.960 --> 0:28:54.560
<v Speaker 11>I think it's going to be amazing and amazing revolution.

0:28:55.040 --> 0:28:58.360
<v Speaker 11>But if that that drags out to the right, it's

0:28:58.440 --> 0:29:01.960
<v Speaker 11>unlikely that currencies also will drag out to the right.

0:29:02.040 --> 0:29:05.400
<v Speaker 11>So by exposing yourself to a number of innovation platforms,

0:29:05.520 --> 0:29:08.480
<v Speaker 11>you actually end up with a more efficient exposure to

0:29:08.600 --> 0:29:12.360
<v Speaker 11>innovation as a whole that delivers better returns Brett.

0:29:12.480 --> 0:29:19.280
<v Speaker 5>Last night, Bloomberg reported that Xai Musk's AI company is

0:29:19.400 --> 0:29:21.920
<v Speaker 5>trying to raise between three and four billion dollars at

0:29:21.920 --> 0:29:26.680
<v Speaker 5>around an eighteen billion dollar valuation. According to Frankly, our sources,

0:29:26.680 --> 0:29:30.560
<v Speaker 5>but also a copy of the prospectus will arc through

0:29:30.600 --> 0:29:34.840
<v Speaker 5>the venture funds try and add XAI given your coverage

0:29:34.840 --> 0:29:36.480
<v Speaker 5>of SpaceX and Tesla already.

0:29:37.960 --> 0:29:42.680
<v Speaker 11>I can't comment on future decisions. I will say that

0:29:42.920 --> 0:29:46.840
<v Speaker 11>actually ownership in x confers a twenty five percent pro

0:29:46.920 --> 0:29:51.800
<v Speaker 11>rat ownership in Xai, and I think that the company's

0:29:52.480 --> 0:29:57.120
<v Speaker 11>future is actually closely intermingled. Xai's competitive advantage is it

0:29:57.160 --> 0:30:00.840
<v Speaker 11>has real time access to everything that happens on X

0:30:00.880 --> 0:30:03.080
<v Speaker 11>which is where our news effectively breaks.

0:30:03.400 --> 0:30:06.720
<v Speaker 12>And in a world in which historical data.

0:30:06.600 --> 0:30:09.719
<v Speaker 11>Is commoditized, which is part of what AI models are

0:30:09.760 --> 0:30:13.680
<v Speaker 11>going to do, real time data becomes more valuable and dear,

0:30:14.000 --> 0:30:16.880
<v Speaker 11>and so having a real time decision engine sitting at

0:30:16.880 --> 0:30:19.120
<v Speaker 11>the front end of X I think is a really

0:30:19.160 --> 0:30:22.720
<v Speaker 11>interesting and compelling value proposition for XAI.

0:30:23.760 --> 0:30:24.080
<v Speaker 4>Brett.

0:30:24.360 --> 0:30:26.680
<v Speaker 5>As you know, last night, I learned a lot about

0:30:26.720 --> 0:30:29.360
<v Speaker 5>the venture fund, the mechanics of how it works. It's actually,

0:30:29.840 --> 0:30:33.560
<v Speaker 5>I told you, very confusing. If you're a retail investor,

0:30:33.600 --> 0:30:38.720
<v Speaker 5>you can access through Fidelity Titan and I'm blanking.

0:30:38.360 --> 0:30:39.120
<v Speaker 4>There's a third one.

0:30:39.240 --> 0:30:43.720
<v Speaker 5>So fine, but my point so far, give me a

0:30:43.880 --> 0:30:47.080
<v Speaker 5>sense of how your announcement that you've built a pretty

0:30:47.080 --> 0:30:49.960
<v Speaker 5>small stake in open Ai has moved the needle for

0:30:50.000 --> 0:30:54.240
<v Speaker 5>that fund overnight this morning. Have you seen new customers

0:30:54.240 --> 0:30:57.800
<v Speaker 5>an investment try to rush in because they now know

0:30:57.920 --> 0:30:59.600
<v Speaker 5>that they can have some exposure there.

0:31:00.640 --> 0:31:02.440
<v Speaker 11>I mean, the honest answer is, I don't know, because

0:31:02.480 --> 0:31:06.320
<v Speaker 11>we don't get flows with you know that high degree

0:31:06.480 --> 0:31:12.560
<v Speaker 11>of frequency, and the decision to invest in these companies

0:31:12.680 --> 0:31:16.480
<v Speaker 11>is not a decision based upon how it's gonna attract attention.

0:31:16.880 --> 0:31:20.200
<v Speaker 11>It's because we underwrite the positions and we think they

0:31:20.240 --> 0:31:26.000
<v Speaker 11>deliver you know, outsized returns even relative to public market exposures.

0:31:26.000 --> 0:31:28.560
<v Speaker 11>So one of the benefits of this fund is, you know,

0:31:28.600 --> 0:31:31.480
<v Speaker 11>we can look at, hey, this is an interesting company,

0:31:31.600 --> 0:31:35.640
<v Speaker 11>and there's a comparable public company that that this is

0:31:35.680 --> 0:31:39.720
<v Speaker 11>actually cheaper than. And so I think that the the

0:31:40.600 --> 0:31:45.120
<v Speaker 11>you know, the potential for returns across all these technology

0:31:45.160 --> 0:31:49.000
<v Speaker 11>platforms is really profound, and we want every investor, not

0:31:49.120 --> 0:31:52.000
<v Speaker 11>just accredited investors, to be able to have access to

0:31:52.040 --> 0:31:52.760
<v Speaker 11>those returns.

0:31:53.480 --> 0:31:56.160
<v Speaker 3>R going back to the open AI thesis as one

0:31:56.200 --> 0:31:59.560
<v Speaker 3>of the winners of the six trillion dollar market. One

0:31:59.600 --> 0:32:03.000
<v Speaker 3>are themtions of it going up into the right because

0:32:03.560 --> 0:32:07.320
<v Speaker 3>there are concerns about ultimately supply chain this coalition that's

0:32:07.400 --> 0:32:10.400
<v Speaker 3>being built because we're worried about energy not only just

0:32:10.400 --> 0:32:12.640
<v Speaker 3>the amount of chips that are necessary that are going

0:32:12.680 --> 0:32:15.360
<v Speaker 3>to be building this future of generative AI, but also

0:32:15.640 --> 0:32:18.680
<v Speaker 3>is a competitive space right now. And also there's a

0:32:18.720 --> 0:32:21.120
<v Speaker 3>weird corporate governance structure that goes on over over AI.

0:32:21.240 --> 0:32:23.000
<v Speaker 3>What are the risks for you on that name?

0:32:23.880 --> 0:32:24.880
<v Speaker 12>Sure, I mean are.

0:32:25.040 --> 0:32:28.560
<v Speaker 11>There are corporate governance structures risks, and you know you

0:32:28.600 --> 0:32:31.600
<v Speaker 11>can underwrite those, so we've gone through and assess them,

0:32:31.640 --> 0:32:35.239
<v Speaker 11>but there is a degree of uncertainty there. There are

0:32:35.240 --> 0:32:39.120
<v Speaker 11>regulatory risks across all of technology exposures. I think that

0:32:40.520 --> 0:32:43.360
<v Speaker 11>we look back to even like nuclear power is an

0:32:43.400 --> 0:32:48.360
<v Speaker 11>amazing technology that was effectively derailed because of kind of

0:32:48.000 --> 0:32:52.600
<v Speaker 11>the regulatory burdens put upon it back in the nineteen seventies,

0:32:52.960 --> 0:32:55.800
<v Speaker 11>and there's the potential that that could happen with AI

0:32:55.880 --> 0:32:58.280
<v Speaker 11>as well, where we're worried about something and so we

0:32:59.120 --> 0:33:02.360
<v Speaker 11>deny ourselves all the benefits of it, but still take

0:33:02.400 --> 0:33:03.479
<v Speaker 11>on all of the risks.

0:33:04.720 --> 0:33:08.120
<v Speaker 12>And we think that there's a room for commercial.

0:33:07.600 --> 0:33:10.960
<v Speaker 11>Models like open AI and anthropics and open source models

0:33:11.000 --> 0:33:12.440
<v Speaker 11>like what Meta is developing.

0:33:12.480 --> 0:33:14.160
<v Speaker 12>I think that the market will have a.

0:33:14.080 --> 0:33:18.240
<v Speaker 11>Handful of solutions, any one of which could be profoundly valuable.

0:33:18.480 --> 0:33:21.760
<v Speaker 11>And when you have this much market opportunity ahead of you,

0:33:21.760 --> 0:33:25.520
<v Speaker 11>you know, you go for that asymmetric return where kind

0:33:25.520 --> 0:33:30.120
<v Speaker 11>of like the one or two winners here are going

0:33:30.160 --> 0:33:32.840
<v Speaker 11>to be profoundly valuable. And so we think an exposure

0:33:32.920 --> 0:33:35.640
<v Speaker 11>is appropriate and actually necessary.

0:33:36.960 --> 0:33:40.560
<v Speaker 5>Brett Winston, the Bench Investmental Walk Investment Management is great

0:33:40.560 --> 0:33:41.360
<v Speaker 5>to have you on the program.

0:33:41.400 --> 0:33:43.600
<v Speaker 4>Thank you very much for your time. We'll be right back.

0:33:43.600 --> 0:33:44.080
<v Speaker 4>Stay changed.

0:33:44.080 --> 0:34:00.680
<v Speaker 5>This is butting Back Technology.

0:33:58.560 --> 0:34:01.320
<v Speaker 3>New York based adicle. It's just announced it's raised two

0:34:01.360 --> 0:34:04.680
<v Speaker 3>hundred and fifty million dollars in taking on external investors

0:34:04.720 --> 0:34:08.000
<v Speaker 3>for the first time. The person behind Ali Corn is

0:34:08.000 --> 0:34:10.960
<v Speaker 3>known as the godfather of VC here in New York,

0:34:11.040 --> 0:34:13.680
<v Speaker 3>Kevin Ryan, founder CEO of that business. We welcome into

0:34:13.719 --> 0:34:18.400
<v Speaker 3>VC Spotlight. And before you spent a lot of time

0:34:18.880 --> 0:34:22.640
<v Speaker 3>and focus on small sized businesses investing your own money

0:34:22.640 --> 0:34:24.480
<v Speaker 3>because you had a huge exit back in the day,

0:34:24.520 --> 0:34:27.160
<v Speaker 3>having of course been the CEO co founder of double

0:34:27.160 --> 0:34:31.480
<v Speaker 3>Click sold it to Google. Now, what is the reason

0:34:31.480 --> 0:34:33.040
<v Speaker 3>you're bringing on external LPs.

0:34:33.480 --> 0:34:34.960
<v Speaker 10>Yeah, it's more thinking long term.

0:34:35.000 --> 0:34:37.640
<v Speaker 13>You know, I'm still a very important LP in this

0:34:37.719 --> 0:34:39.600
<v Speaker 13>fun But when I think over the next twenty twenty

0:34:39.600 --> 0:34:41.520
<v Speaker 13>five years, I think ALLI Corp. Will be a firm

0:34:41.560 --> 0:34:43.880
<v Speaker 13>that is here, that is very present, that is going

0:34:43.960 --> 0:34:45.640
<v Speaker 13>to be one of the leading firms. And to do that,

0:34:45.680 --> 0:34:48.680
<v Speaker 13>you want to have sustainable source of money for the

0:34:48.719 --> 0:34:49.760
<v Speaker 13>next seven funds.

0:34:49.920 --> 0:34:51.960
<v Speaker 10>And so this is the beginning step for.

0:34:51.960 --> 0:34:55.760
<v Speaker 3>That beginning step in taking bets on beginning businesses seeds

0:34:56.000 --> 0:34:57.000
<v Speaker 3>and theeries. A.

0:34:57.120 --> 0:34:58.640
<v Speaker 13>Yeah, it's not changing what we're doing yet. We do

0:34:58.680 --> 0:35:01.040
<v Speaker 13>two things. We start companies from scratch, so I start

0:35:01.160 --> 0:35:03.680
<v Speaker 13>six to eight companies a year, and then we invest

0:35:03.719 --> 0:35:05.920
<v Speaker 13>in probably fifteen to twenty. So we have a portfolio

0:35:05.920 --> 0:35:08.000
<v Speaker 13>of over one hundred companies and I have a twenty

0:35:08.000 --> 0:35:09.920
<v Speaker 13>four person team, and so we've been doing that. We're

0:35:09.920 --> 0:35:11.880
<v Speaker 13>going to continue to do that, and we're still seeing

0:35:12.120 --> 0:35:13.640
<v Speaker 13>incredible opportunities out there.

0:35:14.120 --> 0:35:17.279
<v Speaker 3>Many would know you for helping seed Mongo d B,

0:35:17.480 --> 0:35:19.640
<v Speaker 3>which of course Big Exit traded hair in New York.

0:35:19.719 --> 0:35:21.440
<v Speaker 3>But is that still the kind of company you want

0:35:21.480 --> 0:35:23.200
<v Speaker 3>to be getting into. We're all talking about general to

0:35:23.239 --> 0:35:25.160
<v Speaker 3>AI at the moment, but you're also focused on healthcare.

0:35:25.239 --> 0:35:26.839
<v Speaker 3>Tell us the theses that you want to get.

0:35:26.920 --> 0:35:28.719
<v Speaker 13>Yes, we have a couple different industry groups that we're

0:35:28.719 --> 0:35:31.440
<v Speaker 13>focused on, so AI is definitely important thing. I just

0:35:31.520 --> 0:35:33.919
<v Speaker 13>started a company with some people on my team called

0:35:34.040 --> 0:35:38.000
<v Speaker 13>Radical that is a company focused on AI for material science.

0:35:38.320 --> 0:35:41.320
<v Speaker 13>There's a very specific, very technical area and an enormous,

0:35:41.520 --> 0:35:44.200
<v Speaker 13>enormous area, so that's a fundamental trend. Last year we

0:35:44.239 --> 0:35:47.200
<v Speaker 13>started a company in assisted fertility. You and I both

0:35:47.239 --> 0:35:49.399
<v Speaker 13>know that twenty years ago, none of our friends were

0:35:49.400 --> 0:35:52.319
<v Speaker 13>having their eggs frozen or IVF. That's growing, it will

0:35:52.320 --> 0:35:54.520
<v Speaker 13>continue to grow for the next ten years. We have

0:35:54.560 --> 0:35:57.040
<v Speaker 13>a big healthcare portfolio, so president in a lot of

0:35:57.040 --> 0:36:00.840
<v Speaker 13>different areas, mental health areas in particular, psychedelic in particular.

0:36:01.120 --> 0:36:04.440
<v Speaker 13>Started one company that's raised over fifty million dollars already,

0:36:04.600 --> 0:36:06.880
<v Speaker 13>and I'm looking to start another company in that space.

0:36:07.160 --> 0:36:10.040
<v Speaker 13>So the point is there are pockets and things to

0:36:10.080 --> 0:36:13.600
<v Speaker 13>be done. Technology is continuing to change the world and

0:36:13.640 --> 0:36:15.560
<v Speaker 13>make it a better place, and we just want to

0:36:15.840 --> 0:36:18.280
<v Speaker 13>think of these ideas or recognize them and help build

0:36:18.280 --> 0:36:18.840
<v Speaker 13>these companies.

0:36:20.400 --> 0:36:23.680
<v Speaker 5>Kevin, you called them pockets, but I kind of recognize

0:36:23.800 --> 0:36:26.400
<v Speaker 5>outliers of activity. You know, you see a lot of

0:36:26.440 --> 0:36:29.479
<v Speaker 5>rounds being done in AI. Actually I'm starting to see

0:36:29.520 --> 0:36:35.160
<v Speaker 5>some in industrial technology. But I guess the commonality of

0:36:35.200 --> 0:36:38.520
<v Speaker 5>the last four months is that each round, the check

0:36:38.600 --> 0:36:41.080
<v Speaker 5>size is getting bigger. Yeah, and I wondered if you

0:36:41.160 --> 0:36:43.960
<v Speaker 5>needed that two hundred and fifty million from outside investors

0:36:44.400 --> 0:36:46.520
<v Speaker 5>because you've got to write bigger checks.

0:36:47.239 --> 0:36:50.400
<v Speaker 13>No, our check size isn't really changing that much, you know,

0:36:50.640 --> 0:36:52.880
<v Speaker 13>I had invested over two hundred fifty million dollars in

0:36:52.880 --> 0:36:55.680
<v Speaker 13>the last several years, so this is a continuation of that.

0:36:56.360 --> 0:36:58.480
<v Speaker 13>These some of the you know, some of the companies

0:36:58.520 --> 0:37:01.680
<v Speaker 13>like Mango. You know, we started at fifteen years ago

0:37:01.760 --> 0:37:05.440
<v Speaker 13>with a million dollars. Dwight Merriman and I put that

0:37:05.520 --> 0:37:07.839
<v Speaker 13>money in, but we raised four hundred million dollars as

0:37:07.840 --> 0:37:09.960
<v Speaker 13>a private company and then spend another six hundred million

0:37:10.000 --> 0:37:11.839
<v Speaker 13>dollars as a public company to get to break even.

0:37:12.160 --> 0:37:14.440
<v Speaker 13>So large companies do take a lot of capital. We're

0:37:14.480 --> 0:37:16.440
<v Speaker 13>not going to provide all of it. Early stage investors

0:37:16.440 --> 0:37:18.880
<v Speaker 13>are taking the most risk and getting the most return

0:37:19.320 --> 0:37:21.480
<v Speaker 13>by coming up with that idea in the very beginning.

0:37:21.520 --> 0:37:23.359
<v Speaker 13>But luckily there are lots of late stage funds that

0:37:23.400 --> 0:37:25.160
<v Speaker 13>step in to help fund these.

0:37:26.920 --> 0:37:30.200
<v Speaker 5>Were you able to be selective with LPs or were

0:37:30.280 --> 0:37:32.760
<v Speaker 5>these LPs that were kind of coming to you and saying,

0:37:33.640 --> 0:37:36.359
<v Speaker 5>I want some exposure to what's happening in AI right now,

0:37:36.400 --> 0:37:37.480
<v Speaker 5>can you offer that to me?

0:37:38.120 --> 0:37:40.560
<v Speaker 13>Yeah, we were. Fortunately, we were able to be pretty selective.

0:37:40.640 --> 0:37:43.279
<v Speaker 13>We really just went out to family offices. It's a

0:37:43.280 --> 0:37:46.200
<v Speaker 13>pretty small list of people. We wanted families that would

0:37:46.239 --> 0:37:48.359
<v Speaker 13>add value. So these are all people that had come

0:37:48.400 --> 0:37:51.440
<v Speaker 13>from the healthcare industry, the technology industry, something else. We

0:37:51.520 --> 0:37:54.040
<v Speaker 13>can call on them if we want to do some

0:37:54.160 --> 0:37:57.520
<v Speaker 13>due diligence. So we're pretty happy with that list of investors.

0:37:57.560 --> 0:38:01.040
<v Speaker 13>We didn't go very widely. There aren't large institutions. We

0:38:01.080 --> 0:38:03.759
<v Speaker 13>don't have pension funds, because at least at this point,

0:38:03.800 --> 0:38:06.400
<v Speaker 13>they would add less value than some of the family offices.

0:38:07.440 --> 0:38:11.120
<v Speaker 3>I started this conversation by calling the godfather of NYC Tech,

0:38:11.360 --> 0:38:15.720
<v Speaker 3>and it is because NYC Tech is now getting really serious.

0:38:15.760 --> 0:38:17.839
<v Speaker 3>People do feel that there's an about change. And you've

0:38:17.840 --> 0:38:20.320
<v Speaker 3>been there for a long time saying there are businesses

0:38:20.320 --> 0:38:22.960
<v Speaker 3>to be built here, in businesses to invest in. Are

0:38:23.000 --> 0:38:25.200
<v Speaker 3>we just drinking our own kool aid here at the moment?

0:38:25.560 --> 0:38:26.759
<v Speaker 10>You know, it's incredibly clear.

0:38:26.800 --> 0:38:28.920
<v Speaker 13>It's the fastest growing and has been the fastest growing

0:38:28.920 --> 0:38:31.480
<v Speaker 13>tech center in the United States. Because people forget today

0:38:31.520 --> 0:38:33.840
<v Speaker 13>that twenty five years ago there was no tech in

0:38:33.840 --> 0:38:36.279
<v Speaker 13>New York. People would ask me, why is Doubleicke in

0:38:36.280 --> 0:38:37.600
<v Speaker 13>New York and why not in Boston.

0:38:37.760 --> 0:38:38.960
<v Speaker 10>No one would say that today.

0:38:39.160 --> 0:38:41.760
<v Speaker 13>So today in New York already employees as many people

0:38:41.760 --> 0:38:44.319
<v Speaker 13>in tech as San Francisco. There is no doubt in

0:38:44.360 --> 0:38:46.640
<v Speaker 13>my mind that when we're sitting here. Ten years from now,

0:38:46.840 --> 0:38:49.440
<v Speaker 13>New York will be a much bigger center of employment

0:38:49.480 --> 0:38:51.480
<v Speaker 13>for tech and will start to have some of the

0:38:51.640 --> 0:38:54.040
<v Speaker 13>very biggest companies out here. This is a place that

0:38:54.120 --> 0:38:57.959
<v Speaker 13>has human talent, the top graduates from the entire IVY League.

0:38:58.080 --> 0:39:00.319
<v Speaker 10>Mit. Everyone where do they want to live? To live

0:39:00.320 --> 0:39:00.959
<v Speaker 10>in New York City?

0:39:01.400 --> 0:39:03.840
<v Speaker 13>And that's what drives our industry and will continue to

0:39:03.920 --> 0:39:04.720
<v Speaker 13>drive the industry.

0:39:06.000 --> 0:39:09.160
<v Speaker 3>Sorry, Ed, I'm pretty sure they're still run for both

0:39:09.200 --> 0:39:12.239
<v Speaker 3>of us. Kevin Ryan of Ali Cole absolutely wonderful to

0:39:12.239 --> 0:39:13.040
<v Speaker 3>have you here on the show.

0:39:21.600 --> 0:39:25.319
<v Speaker 5>When Adobe released its Firefly image generating model last year,

0:39:25.360 --> 0:39:28.880
<v Speaker 5>the company said the artificial intelligence model was trained mainly

0:39:29.320 --> 0:39:33.000
<v Speaker 5>on Adobe stock Images, its database of hundreds of millions

0:39:33.040 --> 0:39:37.080
<v Speaker 5>of licensed images, but behind the scenes, Adobe was relying

0:39:37.239 --> 0:39:42.600
<v Speaker 5>in part on AI generated content to train Firefly, including

0:39:42.680 --> 0:39:45.960
<v Speaker 5>from those same AI rivals that we've been talking about

0:39:45.960 --> 0:39:49.160
<v Speaker 5>for many months. Blue both Rachel Mets broke that story

0:39:49.360 --> 0:39:52.240
<v Speaker 5>with Brody Ford and joins us. Now, so let's focus

0:39:52.360 --> 0:39:55.000
<v Speaker 5>very clearly on what the reporting on Earth Tier, what

0:39:55.120 --> 0:39:57.880
<v Speaker 5>the new part is, and I think it's that we

0:39:58.000 --> 0:40:01.239
<v Speaker 5>learned a lot more about how Firefly trained, but it's

0:40:01.320 --> 0:40:05.600
<v Speaker 5>different to what Adobe had originally told us precisely.

0:40:05.719 --> 0:40:05.799
<v Speaker 1>So.

0:40:06.000 --> 0:40:09.440
<v Speaker 14>Adobe has spoken a lot very publicly about how Firefly

0:40:09.920 --> 0:40:14.279
<v Speaker 14>is really different from the east rival image generators. And

0:40:14.360 --> 0:40:18.400
<v Speaker 14>it turns out that it included a bunch of AI

0:40:18.480 --> 0:40:21.560
<v Speaker 14>generated images, some of which are from mid journey in

0:40:21.640 --> 0:40:25.799
<v Speaker 14>the training of Firefly. This was something I uncovered in

0:40:25.840 --> 0:40:29.160
<v Speaker 14>my reporting. Brody and I work together to pull this

0:40:29.239 --> 0:40:33.719
<v Speaker 14>story together and found that the company had done this.

0:40:33.960 --> 0:40:36.680
<v Speaker 14>I mean, it was clearly done on purpose. It is

0:40:37.040 --> 0:40:39.000
<v Speaker 14>not a huge amount of its training data, but it's

0:40:39.000 --> 0:40:39.279
<v Speaker 14>in there.

0:40:39.280 --> 0:40:43.760
<v Speaker 3>Nonetheless, what's important is, of course that this was deemed

0:40:43.920 --> 0:40:47.600
<v Speaker 3>the ethical version of AI that you're paying for IP.

0:40:48.320 --> 0:40:50.840
<v Speaker 3>And there's been some murkiness, to say the very least

0:40:50.960 --> 0:40:54.200
<v Speaker 3>in some of the other rival foundational models and generative

0:40:54.440 --> 0:40:58.120
<v Speaker 3>models that we've seen. I'm interested as to what Adobe

0:40:58.120 --> 0:41:01.120
<v Speaker 3>said in response, because I'm sure they're aware of some

0:41:01.200 --> 0:41:04.840
<v Speaker 3>of these synthetic images that they were bringing in. Is

0:41:04.880 --> 0:41:07.399
<v Speaker 3>there any risk of IP in this one?

0:41:08.760 --> 0:41:11.359
<v Speaker 8>Adobe was totally aware of what it was doing.

0:41:11.440 --> 0:41:15.120
<v Speaker 14>I mean, we were looking at discord groups that the

0:41:15.160 --> 0:41:15.960
<v Speaker 14>company runs.

0:41:16.600 --> 0:41:17.680
<v Speaker 8>It was talking.

0:41:17.920 --> 0:41:20.520
<v Speaker 14>It had people from the company talking on discord groups

0:41:21.200 --> 0:41:25.279
<v Speaker 14>about including these images. They paid out a bonus in

0:41:25.320 --> 0:41:29.120
<v Speaker 14>September to other people whose images were used to train

0:41:29.280 --> 0:41:32.879
<v Speaker 14>the first version of Firefly, and that included people such

0:41:32.920 --> 0:41:35.240
<v Speaker 14>as one of my sources who was in the story,

0:41:35.520 --> 0:41:39.040
<v Speaker 14>who only contributed AI generated images to Adobe stock and

0:41:39.080 --> 0:41:41.680
<v Speaker 14>most of those were mid journey made with mid journey.

0:41:43.280 --> 0:41:45.680
<v Speaker 3>Fascinating as to therefore, how far back that we'll go?

0:41:46.200 --> 0:41:48.680
<v Speaker 3>Rachel Metz is a great story, just so much coming

0:41:48.680 --> 0:41:50.600
<v Speaker 3>out on Adobe at the moment. We appreciate her for it.

0:41:50.640 --> 0:41:52.640
<v Speaker 3>That does it for this dedition of blumotechnology. What a

0:41:52.680 --> 0:41:54.600
<v Speaker 3>wide ranging set of conversations we've had ed.

0:41:55.000 --> 0:41:59.760
<v Speaker 5>Yeah, it's been a pretty intense week newsflow and markets wise.

0:42:00.360 --> 0:42:03.040
<v Speaker 5>Now earning season comes and hits you in the face.

0:42:03.120 --> 0:42:04.600
<v Speaker 5>What a lot of fun we still have to have

0:42:04.920 --> 0:42:06.880
<v Speaker 5>recap the show. There was a lot of great Bloomberg

0:42:06.920 --> 0:42:10.480
<v Speaker 5>reporting on Apple on Adobe's just heard in some pretty

0:42:10.520 --> 0:42:14.319
<v Speaker 5>insightful interviews Brett Winton from ARC in particular on that

0:42:14.520 --> 0:42:18.160
<v Speaker 5>unusual investment in Open Ai. Recap Apple, Spotify, iHeart, and

0:42:18.200 --> 0:42:20.200
<v Speaker 5>we put the pod on the Bloomberg platforms.

0:42:20.960 --> 0:42:22.840
<v Speaker 4>Happy Friday. This is Bloomberg Technology