WEBVTT - Tesla Deliveries Increase and Apple Readies Low-End iPhone

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<v Speaker 1>From the heart where innovation, money and power co lie

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<v Speaker 1>in Silicon Valley, NBN. This is Bloomberg Technology with Caroline

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<v Speaker 1>Hyde and Ed.

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<v Speaker 2>Luvedlove live from New York and San Francisco. This is

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<v Speaker 2>Bloomberg Technology coming up. Tesl posts its first increase in

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<v Speaker 2>quarterly sales this year, but it disappoints investors.

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<v Speaker 3>And Apple preparing to announce a new low end iPhone.

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<v Speaker 4>We have the Bloomberg exclusive.

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<v Speaker 5>US we talk to tech. Have you hitters?

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<v Speaker 2>Later in the our CEO of Pinterest coming from its

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<v Speaker 2>advertising event, Ed, Let's.

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<v Speaker 4>Get strike to our top story.

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<v Speaker 3>Tesla just posted its first increase in quarterly sales this year,

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<v Speaker 3>but for the quarter, deliveries came in just below street estimates.

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<v Speaker 3>Shares are down sharply to the company delivered four hundred

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<v Speaker 3>and sixty two thousand, eight hundred and ninety ebs in

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<v Speaker 3>the third quarter, just shy of the four hundred and

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<v Speaker 3>sixty three thousand, eight hundred and ninety seven estimate. And

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<v Speaker 3>this all ahead of course of next week's robotaxi event.

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<v Speaker 3>Bloomberg's Global Auto's editor Craig Trudell joins us from London.

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<v Speaker 4>Going into the data.

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<v Speaker 3>It's interesting because three and y the volume products beat estimates,

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<v Speaker 3>the other bucket which is XS and cyber truck missed estimates.

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<v Speaker 4>What else do we know?

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<v Speaker 6>Yeah, I think this is a case of, you know,

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<v Speaker 6>a narrowbeat giveth and a narrowmiss take it away. This

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<v Speaker 6>is a company that, you know, its shares are known

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<v Speaker 6>to be quite volidle. Just a quarter ago, they just

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<v Speaker 6>barely exceeded expectations and the stock went kind of crazy.

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<v Speaker 6>I don't think we necessarily learn a ton from these numbers.

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<v Speaker 6>I think, you know, we do generally see a nice

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<v Speaker 6>upward trend, both sequentially and year over year. Having said that,

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<v Speaker 6>if you kind of you know, pan out a little

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<v Speaker 6>bit and look at the trend, you know, going a

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<v Speaker 6>little further back, we really just see a sort of

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<v Speaker 6>general kind of flattening and lack of growth from this company.

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<v Speaker 6>You know, you know, year on a year to day basis,

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<v Speaker 6>we may actually see a decline if if trends hold up.

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<v Speaker 6>We've seen them drop a little over two percent for

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<v Speaker 6>the year. So this is a company that you know,

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<v Speaker 6>is priced as a growth stock that that is having

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<v Speaker 6>trouble growing.

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<v Speaker 5>And particularly in China.

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<v Speaker 6>Craig, Yeah, and I think a lot of the expectations

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<v Speaker 6>going into these numbers was that this company was going

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<v Speaker 6>to get a big boost from China increasing subsidies for

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<v Speaker 6>people to trade in older cars and get an electric vehicle.

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<v Speaker 6>We did see Tesla's wholesale numbers tick up as a

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<v Speaker 6>result of that boosted incentive. But you know, those numbers

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<v Speaker 6>also are are wholesales. That means, you know, they're they're

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<v Speaker 6>kind of closer to shipments as opposed to actual you know,

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<v Speaker 6>vehicle deliveries, and so you know, we may actually see

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<v Speaker 6>some of that you know, support coming into play in

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<v Speaker 6>the fourth quarter of this yere.

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<v Speaker 3>As always, you go straight to social media. I posted

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<v Speaker 3>the numbers there, and there this big body of people

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<v Speaker 3>that say the cell side doesn't know what it's talking about.

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<v Speaker 3>This isn't about delivering evs. It's about a future where

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<v Speaker 3>Tesla own and operates a proprietary ride hailing app Craig,

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<v Speaker 3>they run and operate robotaxis, and I think next week

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<v Speaker 3>we will find out whether or not that's true.

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<v Speaker 6>Yeah, I think, you know, the counter to that argument

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<v Speaker 6>would of course, just be that this is also a

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<v Speaker 6>company that's talked about, you know, putting self driving cars

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<v Speaker 6>on the road and offering a you know, a service

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<v Speaker 6>that would be sort of uber like where you could

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<v Speaker 6>hail one of their self driving cars. For for years now.

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<v Speaker 6>I mean it's it's been a half decade at least

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<v Speaker 6>since Elon Musk was openly musing about this. So you know,

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<v Speaker 6>whether or not they're actually able to deliver that is

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<v Speaker 6>another question. I do think that, you know, if they're

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<v Speaker 6>able to execute and sort of do what others haven't

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<v Speaker 6>you know, pulled off, which is real they do this

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<v Speaker 6>at scale, of course, that would be a massive for

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<v Speaker 6>this company, but it's already a pretty massive valuation for

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<v Speaker 6>you know, a manufacturer that is really struggling to increase sales.

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<v Speaker 5>All Eyes a little later this month, Creatudell. Thank you.

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<v Speaker 5>Now let's get the investor perspective.

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<v Speaker 2>Multi team and global Chief investment Officer Nancy Kurton joins

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<v Speaker 2>us with your view more broadly than just one single stock.

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<v Speaker 2>But the AI play that is so key to Tesla

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<v Speaker 2>is so key to the market, and we still question it.

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<v Speaker 1>Well, I think there's a couple of things to think about.

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<v Speaker 1>We are strong believers that this is early innings and

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<v Speaker 1>it's long term, medium term, hugely disinflationary, will bring great

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<v Speaker 1>efficiency and productivity benefits. But near term, let's just look

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<v Speaker 1>at some of the facts here. The hyperscalers are having

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<v Speaker 1>to spend billions of dollars probably we'll go into the trillions.

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<v Speaker 1>We're doing, you know, a one time shift from CPUs

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<v Speaker 1>to GPUs for extending data center capacity. But we also

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<v Speaker 1>have to build power power not just for GENAI, but

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<v Speaker 1>we just touched on autonomous vehicles and power demand looks

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<v Speaker 1>like it's going to double over the next three to

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<v Speaker 1>five years. These are huge, huge numbers, huge CAPEX investment,

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<v Speaker 1>So it may be near term that actually this investment

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<v Speaker 1>in capex, which ry the way we think is an

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<v Speaker 1>interesting investment opportunity to infrastructure. But this investment in capex

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<v Speaker 1>and maybe shortages that it can bring near term if

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<v Speaker 1>the monetization doesn't come as quickly, and could bring some

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<v Speaker 1>inflation as well.

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<v Speaker 2>So where in the stack does one invest Do you

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<v Speaker 2>go still picks and shovels, chips, Do you go infrastructure?

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<v Speaker 2>When it comes to energy, do you go to applications

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<v Speaker 2>of AI?

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<v Speaker 1>We think you go a little bit to all of them. So,

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<v Speaker 1>first of all, we are invested in infrastructure. We think

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<v Speaker 1>it's super interesting digital infrastructure and power, and the combination,

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<v Speaker 1>we think we can earn equity like returns essential services,

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<v Speaker 1>less correlation to the market, with some great counter parties here,

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<v Speaker 1>and with revenue escalation and inflation protection over time. That's

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<v Speaker 1>a pretty powerful story. But we also have investments at

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<v Speaker 1>the other end of the spectrum with venture companies that

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<v Speaker 1>are doing some things that are incredibly disruptive. We think

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<v Speaker 1>there'll be winners and losers from Jenai, and we want

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<v Speaker 1>to make sure we have exposure to that as well.

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<v Speaker 1>And then finally, we have a specialist technology manager because

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<v Speaker 1>that allows us in the public markets to look where

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<v Speaker 1>Jenai is not yet priced in, and I would say

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<v Speaker 1>all valuations, particularly in data heavy industries, jena is not

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<v Speaker 1>priced in today, and there's some really interesting opportunities there.

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<v Speaker 4>Nancy.

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<v Speaker 3>The problem for our Bloomberg technology audience, if they're just

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<v Speaker 3>tuning in, is that Tesla's down five percent on a

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<v Speaker 3>data set that comes out once a quarter. Even though

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<v Speaker 3>if there's this big body of people that believe in

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<v Speaker 3>this long term story that's very analogous with what you've

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<v Speaker 3>just outlined. I think I'm right in saying that ALTI

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<v Speaker 3>has some small exposures Tesla, but use that as a

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<v Speaker 3>case study. What wins out here, this multi year horizon

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<v Speaker 3>belief in AI or the short term pain of having

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<v Speaker 3>to get there.

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<v Speaker 1>Well, we have a strong view that technology may underperform

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<v Speaker 1>a little bit here. They're very high expectations. These stocks

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<v Speaker 1>are trading at pretty high multiples thirty two times on

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<v Speaker 1>average for the Magnificent seven. And meanwhile, the FED and

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<v Speaker 1>other central banks in the world are easing interest rates,

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<v Speaker 1>which we think will help the other four hundred and

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<v Speaker 1>ninety three shares, which straight up more attractive valuations, and

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<v Speaker 1>with the easing should support our earning's growth going forward.

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<v Speaker 1>So there are things to do in the market. You

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<v Speaker 1>don't just have to play technology at the moment to

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<v Speaker 1>benefit from what's happening with the soft landing and the

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<v Speaker 1>FED easing. And as I said, we think it's going

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<v Speaker 1>to be a little time here for monetization to take call.

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<v Speaker 1>Maybe it's twenty six, maybe it's twenty seven. You know,

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<v Speaker 1>Baying believes, you know, by twenty seven we'll see a

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<v Speaker 1>trillion in revenue. Let's see, but it's going to take

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<v Speaker 1>more time. And remember in the enterprise, when you use

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<v Speaker 1>jen Ai, it's not like the consumer, you have to

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<v Speaker 1>embed it in business processes, you have to industrialize it.

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<v Speaker 1>You've got to make sure that it doesn't have cyber threats,

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<v Speaker 1>and so on and so forth. So this all takes time,

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<v Speaker 1>so you know, a note of caution here near term

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<v Speaker 1>on jen Ai. We can do other things in the

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<v Speaker 1>marketplace and benefit from the digital picks and shovel build

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<v Speaker 1>while we're waiting, but we do ultimately think it will

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<v Speaker 1>be transformational.

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<v Speaker 3>Nancy, is there a corner of the technology sector that's

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<v Speaker 3>underappreciated by investors?

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<v Speaker 1>I think beyond the Magnificent seven as you look more broadly,

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<v Speaker 1>you know, to other companies that will participate. You know,

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<v Speaker 1>Nvidia is not going to be alone here. Maybe it's

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<v Speaker 1>a winner take most as opposed to a winner take all,

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<v Speaker 1>so there will be competition. There are other companies that

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<v Speaker 1>also benefit. You know, think about data centers. They need cooling,

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<v Speaker 1>so you know there are industrial companies that are providing

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<v Speaker 1>cooling services to data centers. The trade at really attract evaluations,

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<v Speaker 1>So there are other ways of playing GENI in this infrastructure.

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<v Speaker 1>But take a look at utilities, probably one of the

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<v Speaker 1>best performing sectors year to date. Who would have thunk

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<v Speaker 1>it right, So there are other ways to think about this.

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<v Speaker 7>You just have to think.

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<v Speaker 1>More broadly, where is JENI not priced in? Particularly in

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<v Speaker 1>this period where we're in the CAPEX build. The monetization

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<v Speaker 1>will take some time, and at the moment, I think

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<v Speaker 1>investors may be getting ahead of what may be delivered

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<v Speaker 1>next quarter.

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<v Speaker 2>What about where it's underpriced globally, Nancy, I think of

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<v Speaker 2>the latest news that we'll go into a little bit

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<v Speaker 2>later about KKR looking to take private Hong Kong based

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<v Speaker 2>or traded chip company.

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<v Speaker 5>What about global.

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<v Speaker 1>Exposure, Well, I think there's some really interesting things happening globally.

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<v Speaker 1>You might have seen as well, something like Blackstone just

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<v Speaker 1>did a sixteen billion dollar deal in Australia called air Trunk,

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<v Speaker 1>which is the largest Asia Pacific data center. Europe is

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<v Speaker 1>further behind the US build. Asia Pacific is further behind

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<v Speaker 1>the US build. So we think in our national exposure

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<v Speaker 1>to data center infrastructure, power and build out is a

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<v Speaker 1>hugely interesting opportunity. They are much further behind the United

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<v Speaker 1>States and prices are more reasonable on a relative basis.

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<v Speaker 1>So yeah, there are opportunities here beyond the United States,

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<v Speaker 1>and they are internationally.

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<v Speaker 3>Nancy Kahr and chief investment officer at ALLTT and then

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<v Speaker 3>global really sizeable advisory.

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<v Speaker 4>And investment firm. Thank you very much.

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<v Speaker 3>Now coming up, Apple prepares for a new slate of

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<v Speaker 3>iPhones and iPads as and this raised concerns about iPhone

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<v Speaker 3>sales growth. We have a bluemeg exclusive coming out now.

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<v Speaker 3>This is Blue Day Technology.

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<v Speaker 2>Apple is preparing to announce a new low end iPhone

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<v Speaker 2>early next year alongside upgraded iPads as all. According to

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<v Speaker 2>sources bluem Eggs Mark German broke, the news brings us

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<v Speaker 2>the details. Is this about India and China and the

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<v Speaker 2>consumer there?

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<v Speaker 8>This is not about India and China specifically.

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<v Speaker 7>This is more of a global thing.

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<v Speaker 8>Right, if you look at how the iPhone sixteen has

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<v Speaker 8>been performing across the world, right, it's not meeting expectations

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<v Speaker 8>according to some analysts. But if the company comes out

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<v Speaker 8>with the phone, obviously they'd been planning this for multiple years.

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<v Speaker 8>That brings down the price point of features like an

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<v Speaker 8>edge to edge stream face ID this thinner luck with

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<v Speaker 8>the swirred off edges globally at a sub five hundred

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<v Speaker 8>dollars price point, they're going to be bringing something quite compelling.

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<v Speaker 5>To the market.

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<v Speaker 1>Now, the reason this is not so much about.

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<v Speaker 8>India is because in India the market share leaders, they're

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<v Speaker 8>not sub five hundred dollars phones, they're sub two hundred

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<v Speaker 8>dollars phones, right, so they're still not playing in that

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<v Speaker 8>that particular market. That would boost market share significantly in India,

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<v Speaker 8>but this would help them make additional straws globally.

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<v Speaker 3>Mark project code name V fifty nine. What a source

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<v Speaker 3>is telling you about a refreshed iPhone SE.

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<v Speaker 8>Yeah, so that's the iPhone SE. That's the new low

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<v Speaker 8>end iPhone and this is going to look similar to

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<v Speaker 8>the iPhone fourteen from a few years ago. It's going

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<v Speaker 8>to have the internal specifications to support Apple Intelligence. There's

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<v Speaker 8>going to be upgraded cameras over the prior SSE. The

0:12:42.760 --> 0:12:45.600
<v Speaker 8>current SE launched in twenty two, that's when they added

0:12:45.640 --> 0:12:48.160
<v Speaker 8>five G to it, but it still has the home button, right,

0:12:48.200 --> 0:12:51.440
<v Speaker 8>it's the only iPhone left with the home button. In fact,

0:12:51.520 --> 0:12:55.240
<v Speaker 8>it's the only Apple product that hasn't been updated to

0:12:55.240 --> 0:12:59.439
<v Speaker 8>remove the home button. They've already transitioned the low end iPad, right,

0:12:59.480 --> 0:13:01.120
<v Speaker 8>they cut the price of that and made that a

0:13:01.120 --> 0:13:03.680
<v Speaker 8>full screen design. So this was the laggard in the

0:13:03.679 --> 0:13:06.120
<v Speaker 8>product line, and that's going to change now. And this

0:13:06.160 --> 0:13:08.080
<v Speaker 8>is going to make things easier for Apple. They don't

0:13:08.080 --> 0:13:11.560
<v Speaker 8>have to support older operating systems for that much longer

0:13:12.240 --> 0:13:14.560
<v Speaker 8>that support a home button. They're able to move to

0:13:14.600 --> 0:13:17.040
<v Speaker 8>a user interface that's consistent across all.

0:13:17.000 --> 0:13:17.800
<v Speaker 4>Of its devices.

0:13:17.880 --> 0:13:20.240
<v Speaker 8>So this is a big deal for the consumer and

0:13:20.320 --> 0:13:21.960
<v Speaker 8>for Apple as a company. And I think this is

0:13:21.960 --> 0:13:24.080
<v Speaker 8>going to be an extremely strong seller.

0:13:24.400 --> 0:13:26.760
<v Speaker 2>How big a deal, How strong a seller is the

0:13:26.840 --> 0:13:29.199
<v Speaker 2>new iPad egg going to be in the keyboards?

0:13:30.240 --> 0:13:32.760
<v Speaker 8>Yeah, The iPad air update's going to be quite minor, right.

0:13:32.800 --> 0:13:35.480
<v Speaker 8>The iPad Air was less updated alongside the iPad Pro

0:13:35.840 --> 0:13:39.400
<v Speaker 8>in May. What they did last May is they introduced

0:13:39.400 --> 0:13:41.520
<v Speaker 8>a new larger size with the iPad Air. So what

0:13:41.559 --> 0:13:43.720
<v Speaker 8>they were doing was they were bringing iPad pro size

0:13:43.720 --> 0:13:47.800
<v Speaker 8>display down market and that actually is pretty significant for

0:13:47.920 --> 0:13:50.360
<v Speaker 8>schools and businesses where you're buying these things in bulk

0:13:50.440 --> 0:13:52.839
<v Speaker 8>and you may want to buy something with that bigger

0:13:52.880 --> 0:13:55.360
<v Speaker 8>display but not spend the typical extra four or five

0:13:55.440 --> 0:13:58.360
<v Speaker 8>hundred dollars. So that was quite interesting. And then they're

0:13:58.400 --> 0:14:01.560
<v Speaker 8>also manufacturing new keyboards for those new iPad airs. The

0:14:01.600 --> 0:14:04.880
<v Speaker 8>current models actually used the old iPad pro keyboard. They

0:14:04.920 --> 0:14:07.199
<v Speaker 8>didn't create a new iPad Air keyboard just for that

0:14:07.320 --> 0:14:10.040
<v Speaker 8>device when they launched the new models earlier this year,

0:14:10.360 --> 0:14:12.360
<v Speaker 8>and so by doing that, they're able to bring down

0:14:12.400 --> 0:14:14.720
<v Speaker 8>market some of the new features of the iPad pro

0:14:14.840 --> 0:14:17.760
<v Speaker 8>keyboard to that iPad Air family and create more of

0:14:18.120 --> 0:14:21.960
<v Speaker 8>a unified accessory in product ecosystem. So I think that's

0:14:22.000 --> 0:14:24.200
<v Speaker 8>going to be a strong seller potentially as well.

0:14:25.440 --> 0:14:28.400
<v Speaker 3>Name based Mark Gunman with another big breaking story on Apple,

0:14:28.520 --> 0:14:29.000
<v Speaker 3>Thank you.

0:14:37.000 --> 0:14:37.400
<v Speaker 5>Google.

0:14:37.640 --> 0:14:39.800
<v Speaker 2>Well, it's looking to take on open ai with new

0:14:39.840 --> 0:14:43.920
<v Speaker 2>AI software that resembles the human ability to reason, similar

0:14:44.000 --> 0:14:46.680
<v Speaker 2>of course to open AI's O one sort, according to

0:14:46.720 --> 0:14:49.440
<v Speaker 2>sources who say multiple teams at Google have been making

0:14:49.520 --> 0:14:52.640
<v Speaker 2>some progress in that area. Bloomberg's Rachel Metz has more,

0:14:52.720 --> 0:14:55.560
<v Speaker 2>how much are they chasing open ai? How much were

0:14:55.560 --> 0:14:57.760
<v Speaker 2>they already building this chain of thought?

0:14:58.920 --> 0:15:02.440
<v Speaker 9>Well, Google has been a pioneer actually in building the

0:15:02.520 --> 0:15:04.480
<v Speaker 9>kind of technology that is used in a lot of

0:15:04.480 --> 0:15:07.600
<v Speaker 9>these systems. As you mentioned chain of thought. The idea

0:15:07.680 --> 0:15:12.160
<v Speaker 9>behind that technique is that you're basically when a person

0:15:12.240 --> 0:15:15.880
<v Speaker 9>gives an AI system a prompt, like a really hard

0:15:15.880 --> 0:15:18.920
<v Speaker 9>math problem, let's say, with this kind of technique, the

0:15:18.960 --> 0:15:21.960
<v Speaker 9>AI system takes the prompt and in the background, unseen

0:15:22.000 --> 0:15:23.840
<v Speaker 9>to the user, it's kind of coming up with a

0:15:23.880 --> 0:15:28.440
<v Speaker 9>bunch of different similar prompts and sorting through the problem

0:15:28.560 --> 0:15:31.120
<v Speaker 9>sort of step by step, and then presenting what seems

0:15:31.200 --> 0:15:34.880
<v Speaker 9>like the best answer to the user. So Google, Google

0:15:34.920 --> 0:15:37.200
<v Speaker 9>has a history here. But as we know, open Ai

0:15:37.320 --> 0:15:40.200
<v Speaker 9>may this flashed recently with their O one model, and

0:15:40.320 --> 0:15:42.600
<v Speaker 9>Google tends to be more cautious. I mean, is it

0:15:42.680 --> 0:15:44.960
<v Speaker 9>is a huge company. There's a lot of moving parts there,

0:15:45.320 --> 0:15:47.080
<v Speaker 9>so we'll see what happens.

0:15:47.960 --> 0:15:49.640
<v Speaker 4>It tends to be more cautious.

0:15:49.680 --> 0:15:54.160
<v Speaker 3>But since chat GPT's release in November twenty twenty two,

0:15:54.360 --> 0:15:57.160
<v Speaker 3>it's been a it's been a wild ride. Since there's

0:15:57.280 --> 0:16:01.320
<v Speaker 3>pressure there, right, and I think the competition, they're cognizant

0:16:01.360 --> 0:16:04.200
<v Speaker 3>of it. So what does that look like, the pushback

0:16:04.320 --> 0:16:07.600
<v Speaker 3>to catch up I suppose against open Ai.

0:16:09.040 --> 0:16:10.840
<v Speaker 9>Yeah, I mean, I think it looks like a few

0:16:10.840 --> 0:16:12.000
<v Speaker 9>different things happening there.

0:16:12.080 --> 0:16:12.280
<v Speaker 7>Right.

0:16:12.520 --> 0:16:16.320
<v Speaker 9>Initially, when chat GPT was so popular with people, I

0:16:16.360 --> 0:16:20.440
<v Speaker 9>think Google felt caught flat footed, but as and felt,

0:16:20.520 --> 0:16:22.240
<v Speaker 9>you know, like, oh, we have to put something out

0:16:22.280 --> 0:16:24.840
<v Speaker 9>so we can be competitive with that. But as more

0:16:24.880 --> 0:16:27.880
<v Speaker 9>time has passed, I think they want to be really cautious.

0:16:27.920 --> 0:16:29.560
<v Speaker 9>I mean, they have a lot of things to think about.

0:16:29.560 --> 0:16:31.680
<v Speaker 9>They have so many users, and they have so many

0:16:31.720 --> 0:16:33.880
<v Speaker 9>people working on different things within their company. So I

0:16:33.880 --> 0:16:35.960
<v Speaker 9>think with this they're really trying to take their time

0:16:36.080 --> 0:16:39.320
<v Speaker 9>and get it right. And they have some amazingly smart

0:16:39.320 --> 0:16:41.360
<v Speaker 9>people that have been working on this kind of technology

0:16:41.400 --> 0:16:43.280
<v Speaker 9>for a very long time, so it'll be really interesting

0:16:43.280 --> 0:16:44.360
<v Speaker 9>to see what comes out of there.

0:16:44.840 --> 0:16:47.440
<v Speaker 2>Haven't even discussed notebook LM yet, which is a lot

0:16:47.440 --> 0:16:47.720
<v Speaker 2>of fun.

0:16:47.840 --> 0:16:49.520
<v Speaker 5>Ratro Metz, thank you so much.

0:16:49.640 --> 0:16:53.840
<v Speaker 2>Meanwhile, well, not everyone is bullish on aidur own a

0:16:53.920 --> 0:16:56.960
<v Speaker 2>small group. Is a renowned professor at MIT, and it's

0:16:57.000 --> 0:16:59.160
<v Speaker 2>not so sure that AI can deliver on the promise

0:16:59.200 --> 0:17:01.920
<v Speaker 2>of an economic He wants to make clear that he

0:17:02.280 --> 0:17:06.480
<v Speaker 2>does get the potential of artificial intelligence, but by his calculation,

0:17:06.840 --> 0:17:10.120
<v Speaker 2>only a small percent of all jobs, a mere five percent,

0:17:10.760 --> 0:17:13.120
<v Speaker 2>is right to be taken over or at least heavily

0:17:13.160 --> 0:17:16.040
<v Speaker 2>aided by AI over the next decade.

0:17:16.400 --> 0:17:17.120
<v Speaker 5>And what have you got.

0:17:17.760 --> 0:17:20.280
<v Speaker 3>Okay, it's time for today's AI and action, and today

0:17:20.280 --> 0:17:23.320
<v Speaker 3>we're taking a look at Codium, which aims to utilize

0:17:23.320 --> 0:17:27.240
<v Speaker 3>AI to accelerate software development. Just last month, they raise

0:17:27.280 --> 0:17:29.480
<v Speaker 3>one hundred and fifty million dollars in a series C

0:17:29.760 --> 0:17:33.639
<v Speaker 3>round with evaluation of one point twenty five billion dollars.

0:17:33.680 --> 0:17:37.280
<v Speaker 3>Codium CEO and co founder Varun Mohan joins us for more.

0:17:37.320 --> 0:17:39.399
<v Speaker 3>Welcome to the program. A lot of people phone me

0:17:39.440 --> 0:17:41.280
<v Speaker 3>and said that you've got to check out Codium, So

0:17:41.359 --> 0:17:44.320
<v Speaker 3>let's start with the basics of what is Codium.

0:17:44.600 --> 0:17:46.399
<v Speaker 4>Thanks for having me ed so.

0:17:46.680 --> 0:17:50.200
<v Speaker 10>Codium is an AI software development toolkit that fundamentally enables

0:17:50.200 --> 0:17:54.360
<v Speaker 10>developers to write software faster and review software faster. Right now,

0:17:54.400 --> 0:17:57.720
<v Speaker 10>the platform has over seven hundred thousand individual developers that

0:17:57.800 --> 0:18:00.560
<v Speaker 10>use the product in over one thousand enterprises, and one

0:18:00.560 --> 0:18:03.040
<v Speaker 10>of the key things that we focus on is deep

0:18:03.040 --> 0:18:04.760
<v Speaker 10>personalization based.

0:18:04.480 --> 0:18:05.520
<v Speaker 4>On the rest of the codebase.

0:18:05.800 --> 0:18:08.960
<v Speaker 10>Code is a very interdependent sort of knowledge and data source,

0:18:09.160 --> 0:18:12.159
<v Speaker 10>and we try to make the responses as personalized to

0:18:12.200 --> 0:18:12.879
<v Speaker 10>the private.

0:18:12.640 --> 0:18:13.600
<v Speaker 4>Data inside companies.

0:18:13.920 --> 0:18:16.720
<v Speaker 10>Right now, they're seeing around fifty percent of all their

0:18:16.760 --> 0:18:20.240
<v Speaker 10>private code that's committed generated by Codium, as well as

0:18:20.240 --> 0:18:23.680
<v Speaker 10>a twenty percent reduction in total application development time when

0:18:23.760 --> 0:18:24.400
<v Speaker 10>using Codium.

0:18:24.440 --> 0:18:27.760
<v Speaker 3>I'm going to make an observation and you respond to it.

0:18:28.320 --> 0:18:32.280
<v Speaker 3>You have seven hundred thousand users and a thousand enterprise customers.

0:18:33.320 --> 0:18:37.679
<v Speaker 3>You've raised relatively little money compared to a number of

0:18:37.680 --> 0:18:40.879
<v Speaker 3>companies that raised quite a lot of money that haven't

0:18:40.920 --> 0:18:44.160
<v Speaker 3>started selling anything yet or anyone using their tech.

0:18:44.440 --> 0:18:45.440
<v Speaker 4>What do you make of that?

0:18:46.119 --> 0:18:46.199
<v Speaker 7>So?

0:18:46.240 --> 0:18:47.760
<v Speaker 4>I don't have a lot of comments on this.

0:18:48.480 --> 0:18:51.720
<v Speaker 10>I previously worked in an industry autonomous vehicles, where companies

0:18:51.720 --> 0:18:55.199
<v Speaker 10>were raising larger and larger amounts of money without actually

0:18:55.200 --> 0:18:58.120
<v Speaker 10>developing a product, So I think this is not uncommon

0:18:58.160 --> 0:18:59.359
<v Speaker 10>in a bunch of categories.

0:19:00.040 --> 0:19:01.439
<v Speaker 7>What we believe in is we're in.

0:19:01.440 --> 0:19:04.280
<v Speaker 10>A space that is moving incredibly fast, and the only

0:19:04.320 --> 0:19:07.520
<v Speaker 10>thing that would guarantee us the ability to actually earn

0:19:07.560 --> 0:19:10.680
<v Speaker 10>the right to work with large enterprises is actually shipping

0:19:10.880 --> 0:19:13.600
<v Speaker 10>incredibly quickly, staying really close to the technology.

0:19:14.520 --> 0:19:20.760
<v Speaker 2>Bern It's a relatively crowded space though. You've got GitHub Copilot,

0:19:20.840 --> 0:19:22.919
<v Speaker 2>You've got Sam Altman telling me that his favorite thing

0:19:22.960 --> 0:19:25.399
<v Speaker 2>to do on the latest version of chatchubt is to code.

0:19:25.440 --> 0:19:29.080
<v Speaker 2>So how do you ensure you take market share?

0:19:30.320 --> 0:19:30.600
<v Speaker 7>Yeah?

0:19:30.880 --> 0:19:33.520
<v Speaker 10>I think we believe the space is going to be crowded,

0:19:33.600 --> 0:19:37.600
<v Speaker 10>largely because the prize is quite large. If a tool

0:19:37.680 --> 0:19:40.640
<v Speaker 10>is able to actually generate or reduce application development time

0:19:40.680 --> 0:19:42.639
<v Speaker 10>by twenty percent, It would be surprising if there are

0:19:42.680 --> 0:19:46.360
<v Speaker 10>only one player in the category. The way we sort

0:19:46.359 --> 0:19:47.960
<v Speaker 10>of like to look at it is what can we

0:19:47.960 --> 0:19:52.119
<v Speaker 10>do differentially better than other companies and compared to our

0:19:52.160 --> 0:19:55.159
<v Speaker 10>biggest competitor being gethub copilot. The big thing we do

0:19:55.280 --> 0:19:57.760
<v Speaker 10>is care a lot about security as well as being

0:19:57.760 --> 0:20:01.560
<v Speaker 10>a platform agnostic tool. Right no, noticing a very small

0:20:01.560 --> 0:20:06.200
<v Speaker 10>fraction of large enterprises standardizing on getub Enterprise Cloud, and we,

0:20:06.280 --> 0:20:09.480
<v Speaker 10>on the other hand, don't really tie ourselves to any

0:20:09.520 --> 0:20:12.240
<v Speaker 10>one of these platforms. In addition to that, we don't

0:20:12.280 --> 0:20:15.720
<v Speaker 10>actually require a company to send their IP outside of

0:20:15.760 --> 0:20:17.840
<v Speaker 10>their firewall, which is one of the things that get

0:20:17.920 --> 0:20:19.080
<v Speaker 10>up copile that actually requires.

0:20:19.119 --> 0:20:21.800
<v Speaker 2>Right now, Okay, so you feel you've got a unique

0:20:21.880 --> 0:20:24.840
<v Speaker 2>selling point there, but you're going to keep on innovating.

0:20:25.200 --> 0:20:28.800
<v Speaker 2>You told previously that you raise a load of money

0:20:29.240 --> 0:20:31.440
<v Speaker 2>before and haven't actually even spent that.

0:20:31.640 --> 0:20:33.600
<v Speaker 5>Why do you need this money right now?

0:20:35.040 --> 0:20:37.119
<v Speaker 10>I think as we're starting to work with some of

0:20:37.160 --> 0:20:40.639
<v Speaker 10>the world's largest enterprises companies like Dell, we want to

0:20:40.680 --> 0:20:43.560
<v Speaker 10>make sure we're great sort of vendors to our customers,

0:20:44.000 --> 0:20:46.720
<v Speaker 10>and that means continuing to invest in innovation. As you

0:20:46.720 --> 0:20:50.800
<v Speaker 10>can imagine GPU costs are fairly high, but also beyond

0:20:50.800 --> 0:20:53.840
<v Speaker 10>that increasing the amount of the size of our research

0:20:53.880 --> 0:20:56.560
<v Speaker 10>and development organization. We just don't want to be in

0:20:56.560 --> 0:20:59.879
<v Speaker 10>a position where we are working and with large companies

0:21:00.080 --> 0:21:03.159
<v Speaker 10>that trust us and we actually cannot provide support to

0:21:03.200 --> 0:21:05.080
<v Speaker 10>them in the best way possible.

0:21:05.440 --> 0:21:07.320
<v Speaker 2>We raised sixty five million in a Series B and

0:21:07.320 --> 0:21:09.240
<v Speaker 2>now just raise one hundred and fifty million a series See,

0:21:09.240 --> 0:21:10.720
<v Speaker 2>you've got some money to spend on R and D.

0:21:10.960 --> 0:21:13.240
<v Speaker 2>Cody and the CEO from in Mohan, thank you very

0:21:13.320 --> 0:21:20.520
<v Speaker 2>much for joining us.

0:21:21.640 --> 0:21:22.920
<v Speaker 5>Welcome back to Bluemotechnology.

0:21:22.920 --> 0:21:25.280
<v Speaker 3>I'm Carolin Hide in New York and Imed Loveo in

0:21:25.320 --> 0:21:26.000
<v Speaker 3>San Francisco.

0:21:26.480 --> 0:21:28.119
<v Speaker 5>Check on these markets which have turned around here.

0:21:28.200 --> 0:21:30.840
<v Speaker 2>We were trading lower at the start of this program,

0:21:30.880 --> 0:21:33.399
<v Speaker 2>and now we're up some four tenths percent. You've got

0:21:33.400 --> 0:21:35.160
<v Speaker 2>some of the key chip makers to thank for that.

0:21:35.280 --> 0:21:38.280
<v Speaker 2>We got broad coom and video leading from our points perspective.

0:21:38.600 --> 0:21:42.720
<v Speaker 2>Also digesting the latest economic data, but largely Bitcoin, also bouncing.

0:21:42.320 --> 0:21:43.560
<v Speaker 5>Back from yesterday's sell off.

0:21:43.600 --> 0:21:45.879
<v Speaker 2>Of course, that all about geopolitical tension to search for

0:21:45.960 --> 0:21:48.600
<v Speaker 2>safety amid what was, of course the key concerns of

0:21:48.840 --> 0:21:52.640
<v Speaker 2>Iran missill attacks on Israel. We now await the comeback,

0:21:52.960 --> 0:21:56.520
<v Speaker 2>but we're currently improving from a market sentiment perspective.

0:21:56.640 --> 0:21:59.720
<v Speaker 3>Ed some of the other single names we are watching.

0:21:59.800 --> 0:22:03.399
<v Speaker 3>Ten slid down after the company posted quarterly sales coming

0:22:03.600 --> 0:22:07.200
<v Speaker 3>just below estimates, but it's off its session lows. Apple's

0:22:07.240 --> 0:22:09.800
<v Speaker 3>now flat. It had been down as much as one

0:22:09.800 --> 0:22:12.920
<v Speaker 3>and a half percent after Bloomberg reported the company's near

0:22:12.960 --> 0:22:15.720
<v Speaker 3>production of a new low end iPhone, which have come

0:22:15.920 --> 0:22:17.240
<v Speaker 3>as early as next year.

0:22:17.280 --> 0:22:18.480
<v Speaker 4>Let's talk about the markets.

0:22:18.640 --> 0:22:21.719
<v Speaker 3>Bloomberg's jessmentton is here, I guess on a daylight today

0:22:21.800 --> 0:22:25.080
<v Speaker 3>where at the index level we were treading water. Some

0:22:25.200 --> 0:22:28.480
<v Speaker 3>of those megacap names, the moves are more notable DC

0:22:28.680 --> 0:22:31.800
<v Speaker 3>a story when it comes to tech in markets today.

0:22:31.720 --> 0:22:33.879
<v Speaker 11>There is because if you look at the MLV function,

0:22:33.960 --> 0:22:35.960
<v Speaker 11>which y'all were just alluding to you, when you're looking

0:22:36.000 --> 0:22:38.160
<v Speaker 11>at obviously these big tech and growth companies and their

0:22:38.200 --> 0:22:40.080
<v Speaker 11>waitings in the S and P five hundred, when you

0:22:40.080 --> 0:22:42.879
<v Speaker 11>do have C and Vidia as well as broadcome among

0:22:42.920 --> 0:22:45.960
<v Speaker 11>the biggest point contributors to the S and P five hundred.

0:22:46.440 --> 0:22:48.359
<v Speaker 11>The other side of that, though, of course, Tesla and

0:22:48.400 --> 0:22:50.000
<v Speaker 11>you all have been talking about how to miss those

0:22:50.119 --> 0:22:53.200
<v Speaker 11>third quarter delivery numbers there, especially some of the issues

0:22:53.200 --> 0:22:54.160
<v Speaker 11>potentially with China.

0:22:54.200 --> 0:22:56.400
<v Speaker 7>But that's actually the biggest point decliner.

0:22:56.000 --> 0:22:57.639
<v Speaker 11>Here in the S and P five hundred, as well

0:22:57.640 --> 0:22:59.880
<v Speaker 11>as some of the other names like Apple of Core,

0:23:00.440 --> 0:23:03.119
<v Speaker 11>as well as Meta and Alphabet. So when you have

0:23:03.200 --> 0:23:05.880
<v Speaker 11>more of the chip shares, because the socks was actually

0:23:05.960 --> 0:23:08.680
<v Speaker 11>down last quarter, it snapped a streak of gains here

0:23:08.680 --> 0:23:11.040
<v Speaker 11>and Evercore actually made a call for the fourth quarter

0:23:11.080 --> 0:23:13.360
<v Speaker 11>going into year in that they did anticipate to see

0:23:13.359 --> 0:23:15.960
<v Speaker 11>a potential rebound in those chip stocks, and you're beginning

0:23:16.000 --> 0:23:17.119
<v Speaker 11>to see some of that this morning.

0:23:17.160 --> 0:23:17.440
<v Speaker 5>Guys.

0:23:17.960 --> 0:23:19.639
<v Speaker 2>Yeah, look at that Socks up more than two and

0:23:19.640 --> 0:23:22.000
<v Speaker 2>a quarter of percent. You type in sent functions to

0:23:22.000 --> 0:23:24.280
<v Speaker 2>see when that is the biggest moves in September the

0:23:24.280 --> 0:23:27.240
<v Speaker 2>twenty sixth, we understand, is this just the knee jug

0:23:27.280 --> 0:23:30.399
<v Speaker 2>reaction to yesterday's sell off or is this thesis changing

0:23:30.440 --> 0:23:30.920
<v Speaker 2>in any way.

0:23:31.240 --> 0:23:33.560
<v Speaker 11>It looks like it's basically a knee jerk reaction because

0:23:33.600 --> 0:23:35.520
<v Speaker 11>that was the biggest decline in almost a month for

0:23:35.560 --> 0:23:37.680
<v Speaker 11>the S and P five hundred, and then especially a

0:23:37.720 --> 0:23:40.760
<v Speaker 11>lot of these chip makers, even Micron Technology ahead of

0:23:40.760 --> 0:23:43.480
<v Speaker 11>its earnings report last week. Obviously it boosted a lot

0:23:43.480 --> 0:23:45.600
<v Speaker 11>of other chip companies after it had reported and had

0:23:45.600 --> 0:23:48.360
<v Speaker 11>that optimistic outlook. We still have a lot of time

0:23:48.400 --> 0:23:50.320
<v Speaker 11>before we would hear from Video though, that's going to

0:23:50.320 --> 0:23:52.800
<v Speaker 11>be well into November by that point. But when you're

0:23:52.840 --> 0:23:54.840
<v Speaker 11>looking at that, a lot of those companies like Micron

0:23:54.880 --> 0:23:58.399
<v Speaker 11>were trading at quite a discount there, and especially because

0:23:58.400 --> 0:24:00.119
<v Speaker 11>of that, as will some of these other names in

0:24:00.600 --> 0:24:03.040
<v Speaker 11>Video for instance, even once it had that stock splid

0:24:03.160 --> 0:24:06.040
<v Speaker 11>back in June, I mean, it was actually underperforming Apple.

0:24:06.119 --> 0:24:08.160
<v Speaker 11>So the question is moving forward, a lot of those

0:24:08.200 --> 0:24:10.280
<v Speaker 11>that looked a little bit cheaper, maybe people are going

0:24:10.320 --> 0:24:12.320
<v Speaker 11>back in and stepping up to buy those types of names.

0:24:12.359 --> 0:24:16.280
<v Speaker 2>Now, Caroline best menton, we thank you chip companies. Thinking

0:24:16.320 --> 0:24:19.200
<v Speaker 2>about something else at the moment, Global Semiconductors Make is

0:24:19.359 --> 0:24:23.679
<v Speaker 2>really monitoring supplies of quartz. That's after Hurricane Helene halted

0:24:23.720 --> 0:24:27.120
<v Speaker 2>production of two North Carolina mines that provide basically.

0:24:26.760 --> 0:24:29.720
<v Speaker 5>Most of the world supplies for all Bloombergs. Daniel Woolman

0:24:29.840 --> 0:24:30.399
<v Speaker 5>joins us to.

0:24:30.400 --> 0:24:34.040
<v Speaker 2>Explain why high purity courts matters to chip makers.

0:24:34.640 --> 0:24:37.919
<v Speaker 12>So I'm really glad to be here geeking out about

0:24:37.920 --> 0:24:42.119
<v Speaker 12>this with you, courts is a prehistoric material. We're talking

0:24:42.160 --> 0:24:44.600
<v Speaker 12>a mineral that is hundreds of millions of years old

0:24:44.720 --> 0:24:46.920
<v Speaker 12>that developed at a time when there was very little

0:24:46.960 --> 0:24:52.560
<v Speaker 12>water around and on the planet. And because that scarcity

0:24:52.560 --> 0:24:55.960
<v Speaker 12>of water means fewer imperfections in the material, and fewer

0:24:55.960 --> 0:25:00.119
<v Speaker 12>imperfections means that when it's used in this chip making process,

0:25:00.160 --> 0:25:03.399
<v Speaker 12>it imparts fewer imperfections onto the eventual chip.

0:25:04.960 --> 0:25:08.359
<v Speaker 3>Its role in the manufacturing process is multifaceted because you

0:25:08.359 --> 0:25:11.959
<v Speaker 3>have quartz wafers, it's used in frequency control. But if

0:25:11.960 --> 0:25:14.639
<v Speaker 3>there's one thing I've learned about the industry in the

0:25:14.680 --> 0:25:17.600
<v Speaker 3>last few years, it's that it's quite good at stockpiling

0:25:17.720 --> 0:25:21.720
<v Speaker 3>the stuff that it needs. Is that the scenario that's

0:25:21.720 --> 0:25:22.520
<v Speaker 3>playing out here.

0:25:22.920 --> 0:25:25.399
<v Speaker 12>Indeed, our reporters reached out to a whole bunch of

0:25:25.440 --> 0:25:30.280
<v Speaker 12>major chip makers on different continents, TSMC, Samsung, sk Heinez,

0:25:30.800 --> 0:25:34.159
<v Speaker 12>and all of them delivered comments to us that seemed

0:25:34.400 --> 0:25:38.119
<v Speaker 12>very calm, unbothered. They all seem to for now be

0:25:38.240 --> 0:25:41.080
<v Speaker 12>thriving off of these stockpiles they have. That said, to

0:25:41.119 --> 0:25:44.520
<v Speaker 12>your point in the intro, these two mines in North

0:25:44.560 --> 0:25:47.320
<v Speaker 12>Carolina account for about eighty percent or maybe even a

0:25:47.359 --> 0:25:50.399
<v Speaker 12>little more of the global supply of courts. So really

0:25:50.480 --> 0:25:53.639
<v Speaker 12>their calmness in this situation depends on the assumption that

0:25:53.720 --> 0:25:57.119
<v Speaker 12>these minds will eventually and hopefully soon be able to

0:25:57.119 --> 0:25:58.440
<v Speaker 12>reopen after the hurricane.

0:25:59.040 --> 0:26:03.520
<v Speaker 2>It feels almost very painful that something that was focused

0:26:03.520 --> 0:26:06.560
<v Speaker 2>on because of a lack of water is now prevented

0:26:06.600 --> 0:26:09.000
<v Speaker 2>because of too much water and flooding in a certain area.

0:26:09.800 --> 0:26:12.919
<v Speaker 2>Do we have any timeframe anything from the manufacturers in

0:26:12.960 --> 0:26:15.879
<v Speaker 2>North Carolina as to when they might get back online.

0:26:16.440 --> 0:26:20.720
<v Speaker 12>Our reporting doesn't really nail down a specific timeline. I

0:26:20.760 --> 0:26:23.800
<v Speaker 12>think the tone right now is rosy enough. I don't

0:26:23.800 --> 0:26:27.080
<v Speaker 12>want to say rosie given the circumstances, but I think

0:26:27.200 --> 0:26:29.840
<v Speaker 12>the manufacturer seem confident enough at this moment that the

0:26:29.880 --> 0:26:32.080
<v Speaker 12>plants will eventually reopen.

0:26:33.119 --> 0:26:35.320
<v Speaker 5>Danil woman, we thank you so much.

0:26:35.400 --> 0:26:37.639
<v Speaker 2>Meanwhile, it is time for talking tech and first up,

0:26:37.720 --> 0:26:41.080
<v Speaker 2>KKR considering a takeover bid for chips and electronics equipment

0:26:41.160 --> 0:26:45.080
<v Speaker 2>maker ASMPT It's at According to sources, KKR has made

0:26:45.119 --> 0:26:48.120
<v Speaker 2>a non binding preliminary approach for the company. The move

0:26:48.160 --> 0:26:51.800
<v Speaker 2>follows similar attempts in the past by other bidders. Plus Oracle,

0:26:51.960 --> 0:26:53.919
<v Speaker 2>set to spend six and a half billion dollars to

0:26:53.960 --> 0:26:57.480
<v Speaker 2>build out cloud service centers in Malaysia. The company hopes

0:26:57.480 --> 0:26:59.760
<v Speaker 2>to establish a cloud region in the country, providing data

0:26:59.760 --> 0:27:03.119
<v Speaker 2>center do corporate clients are called didn't offer timeframes or

0:27:03.200 --> 0:27:06.359
<v Speaker 2>specifics of the build out, and a new law signed

0:27:06.359 --> 0:27:09.200
<v Speaker 2>in the Philippines will impose a twelve percent value added

0:27:09.240 --> 0:27:13.040
<v Speaker 2>tax on non resident digital service providers. Sectors set to

0:27:13.080 --> 0:27:17.719
<v Speaker 2>be impacted include online search engines, advertising platforms, digital marketplaces,

0:27:17.720 --> 0:27:21.879
<v Speaker 2>cloud services, and even media like Netflix, HBO and Disney.

0:27:22.800 --> 0:27:24.879
<v Speaker 5>Meanwhile, coming up, we're going to be joined by the.

0:27:24.880 --> 0:27:28.400
<v Speaker 2>Former president and CFO of SoftBank Group International. We want

0:27:28.440 --> 0:27:31.160
<v Speaker 2>to get behind the scenes to look at how tech

0:27:31.280 --> 0:27:34.359
<v Speaker 2>VC firms were behind some of the biggest deals. What

0:27:34.400 --> 0:27:36.600
<v Speaker 2>does he make of ARM, What does he make of

0:27:36.640 --> 0:27:39.240
<v Speaker 2>the open AI valuation? This subruebeg technology.

0:27:51.880 --> 0:27:55.560
<v Speaker 3>We all know the powerhouse that is SoftBank, the tech investor,

0:27:55.600 --> 0:27:58.879
<v Speaker 3>the backtor likes of ARM in video TikTok, Uber, Ali

0:27:58.960 --> 0:28:01.959
<v Speaker 3>Barber and work, but we don't know as much about

0:28:02.200 --> 0:28:05.159
<v Speaker 3>what goes on behind the scenes of these major deals.

0:28:05.160 --> 0:28:08.240
<v Speaker 3>A new book gives us a peek into the dealings

0:28:08.240 --> 0:28:11.919
<v Speaker 3>and into soft Bank's iconic founder, Masaoshi's son. It's called

0:28:12.040 --> 0:28:15.119
<v Speaker 3>The Money Trap written by a Look Sama, a veteran

0:28:15.160 --> 0:28:18.440
<v Speaker 3>Morgan Stanley banker and a former chief deal maker at

0:28:18.480 --> 0:28:21.840
<v Speaker 3>soft Bank, and he joins us now in San Francisco.

0:28:22.040 --> 0:28:24.280
<v Speaker 4>Let's start by asking, now that the book is written

0:28:24.320 --> 0:28:27.040
<v Speaker 4>and out, yea, what is soft Bank?

0:28:27.920 --> 0:28:29.960
<v Speaker 7>Well, first of all, thanks for having me. Great to

0:28:29.960 --> 0:28:31.520
<v Speaker 7>be here. What is soft Bank?

0:28:31.640 --> 0:28:33.720
<v Speaker 4>I mean, I you must know you just wrote a

0:28:33.720 --> 0:28:35.320
<v Speaker 4>book about the Well, the.

0:28:35.359 --> 0:28:38.440
<v Speaker 13>Name itself is a bank for software and gets back

0:28:38.480 --> 0:28:42.680
<v Speaker 13>to Marsa ruts as a software distributor for Microsoft software.

0:28:44.000 --> 0:28:47.320
<v Speaker 13>But soft Bank is really about Masa Yoshi Son and

0:28:47.360 --> 0:28:49.720
<v Speaker 13>I consider it one of the great privileges of my

0:28:49.880 --> 0:28:54.640
<v Speaker 13>life to have worked alongside him for a while, you know,

0:28:54.720 --> 0:28:57.360
<v Speaker 13>kind of fancy titled aside. You know, my role really

0:28:57.400 --> 0:28:59.800
<v Speaker 13>there was was chief you know, kind of deal maker

0:28:59.800 --> 0:29:03.000
<v Speaker 13>in chiefs, so to speak. And U and I think

0:29:03.080 --> 0:29:06.440
<v Speaker 13>the one thing I would really highlight about him, the

0:29:06.520 --> 0:29:11.120
<v Speaker 13>standout characteristic is uh is he's a futurist in the

0:29:11.280 --> 0:29:15.400
<v Speaker 13>true sense of the word. And and yeah that that

0:29:15.400 --> 0:29:19.120
<v Speaker 13>that term visionary genius. It gets thrown around a lot,

0:29:19.200 --> 0:29:21.560
<v Speaker 13>but he's pulling a time and time.

0:29:21.680 --> 0:29:23.800
<v Speaker 3>It's an interesting point in sort of the mechanics of

0:29:23.800 --> 0:29:26.320
<v Speaker 3>how soft Bank works. Right, it is a conglomerate. Then

0:29:26.360 --> 0:29:28.400
<v Speaker 3>you have the vision fun part vision from one and

0:29:28.440 --> 0:29:32.080
<v Speaker 3>two each has an investment committee. My point being that

0:29:32.200 --> 0:29:35.640
<v Speaker 3>ultimately it's still in many senses, comes down to Massa

0:29:36.200 --> 0:29:39.520
<v Speaker 3>making an instinctive call on whether or not to invest

0:29:39.600 --> 0:29:40.000
<v Speaker 3>in something.

0:29:40.040 --> 0:29:40.840
<v Speaker 4>Is that what you found?

0:29:41.040 --> 0:29:43.800
<v Speaker 13>It's more than just instinctive and the answer is yes.

0:29:43.920 --> 0:29:47.120
<v Speaker 13>For me at least, self Bank is all about Massa,

0:29:47.480 --> 0:29:51.600
<v Speaker 13>and the standout thing about self Bank is he gets

0:29:51.680 --> 0:29:55.280
<v Speaker 13>the big bits spectacularly, right, I mean, I mean stories

0:29:55.360 --> 0:29:57.800
<v Speaker 13>like we work that kind of fun amusing. I talk

0:29:57.840 --> 0:30:02.840
<v Speaker 13>about it too, But nobody's the movie about about for example,

0:30:02.960 --> 0:30:05.640
<v Speaker 13>which is just a remarkable success story, right, and we

0:30:05.680 --> 0:30:09.640
<v Speaker 13>can talk about that. And soft Bank Japan is a

0:30:09.800 --> 0:30:13.880
<v Speaker 13>lesser known, low profile up. There's no reason a US audience,

0:30:13.880 --> 0:30:16.040
<v Speaker 13>so US investors would be familiar with that. But it's

0:30:16.040 --> 0:30:18.880
<v Speaker 13>a remarkable story. I mean, you know, people think that

0:30:18.880 --> 0:30:22.240
<v Speaker 13>that Massa has come back in the in the in

0:30:22.280 --> 0:30:24.440
<v Speaker 13>two thousand and six, two thousand and seven had to

0:30:24.440 --> 0:30:27.560
<v Speaker 13>do with Ali Baba and Alibaba is phenomenal. But soft

0:30:27.560 --> 0:30:31.400
<v Speaker 13>Bank Japan, which is a mobile phone company Voteraphone, was

0:30:31.480 --> 0:30:34.160
<v Speaker 13>so desperate to get rid of it they actually lent

0:30:34.280 --> 0:30:37.160
<v Speaker 13>Masa money to take it off their hands. And you know,

0:30:37.240 --> 0:30:39.720
<v Speaker 13>he bought that company on the strength of a handshake

0:30:39.760 --> 0:30:43.480
<v Speaker 13>from Steve Jobs to give him an exclusive for smartphones,

0:30:43.480 --> 0:30:45.000
<v Speaker 13>and he kind of saw that coming.

0:30:45.080 --> 0:30:47.480
<v Speaker 7>So he's made these huge bets.

0:30:47.520 --> 0:30:49.480
<v Speaker 13>And by the way, these gain on that on a

0:30:49.520 --> 0:30:53.720
<v Speaker 13>mark to markets basic basis on SoftBank Japan, sorry, on

0:30:53.760 --> 0:30:55.720
<v Speaker 13>Votafone Japan is to the order of forty billion.

0:30:55.840 --> 0:30:57.200
<v Speaker 7>On arm it's one hundred billion.

0:30:57.560 --> 0:31:01.480
<v Speaker 13>So he gets these big bets spectacularly alert.

0:31:01.760 --> 0:31:04.920
<v Speaker 2>You have got some spectacular misses as well, and that's

0:31:04.960 --> 0:31:09.360
<v Speaker 2>the VC way you bet big. Some of them hugely payoff,

0:31:09.800 --> 0:31:13.440
<v Speaker 2>others don't. But there was this moment where money being

0:31:13.480 --> 0:31:16.360
<v Speaker 2>thrown at we work, money being thrown at improbable in

0:31:16.400 --> 0:31:20.160
<v Speaker 2>the UK, money being thrown at wag which rent horribly wrong,

0:31:20.160 --> 0:31:24.800
<v Speaker 2>a dog walking service. What makes the open Ai potential

0:31:24.920 --> 0:31:28.280
<v Speaker 2>bet that we're hearing about soft Bank bringing in five

0:31:28.360 --> 0:31:30.840
<v Speaker 2>hundred million, is that the right one to be throwing

0:31:30.880 --> 0:31:31.680
<v Speaker 2>money at right now?

0:31:32.720 --> 0:31:37.240
<v Speaker 13>Well, I'm not sure trying money is the way I

0:31:37.360 --> 0:31:39.600
<v Speaker 13>described it. I think you have to keep in mind

0:31:39.640 --> 0:31:43.000
<v Speaker 13>that in the Masters is he's been fascinated by AI.

0:31:43.120 --> 0:31:44.480
<v Speaker 7>He was talking about.

0:31:44.160 --> 0:31:47.040
<v Speaker 13>This when I first got to know him back in

0:31:47.080 --> 0:31:50.200
<v Speaker 13>twenty fourteen, and I described this in that book, sitting

0:31:50.200 --> 0:31:53.520
<v Speaker 13>on his porch and his home in Tokyo, and you know,

0:31:54.200 --> 0:31:58.440
<v Speaker 13>he was talking about obsessively about AI, about singularity and

0:31:58.560 --> 0:32:03.360
<v Speaker 13>what would mean from a technology perspective, and I honestly

0:32:03.520 --> 0:32:06.120
<v Speaker 13>I didn't take him seriously at the time. So it's

0:32:06.160 --> 0:32:08.520
<v Speaker 13>it's and he's been very clear now it is.

0:32:08.600 --> 0:32:09.080
<v Speaker 7>I think in.

0:32:09.120 --> 0:32:11.960
<v Speaker 13>June at his AGM, he announced that everything we've seen

0:32:12.040 --> 0:32:15.239
<v Speaker 13>before is a warm up deck, so he's ready to

0:32:15.240 --> 0:32:18.080
<v Speaker 13>make some some He's ready to make some big moves.

0:32:18.080 --> 0:32:19.800
<v Speaker 7>And that's a long winded way of answer your question.

0:32:19.840 --> 0:32:21.440
<v Speaker 13>I mean, you look at soft Bank and the scale

0:32:21.480 --> 0:32:24.920
<v Speaker 13>on which it operates. I think it's sitting on certainly

0:32:25.120 --> 0:32:28.000
<v Speaker 13>north of thirty billion, probably close it a forty billion

0:32:28.080 --> 0:32:31.719
<v Speaker 13>in cash, so A I don't I don't think of

0:32:31.760 --> 0:32:34.920
<v Speaker 13>a five hundred million in open AI as a big

0:32:34.960 --> 0:32:38.440
<v Speaker 13>bet by soft Bank standards. I think it's it's a

0:32:38.600 --> 0:32:40.280
<v Speaker 13>it's it's it's it's sort of.

0:32:40.280 --> 0:32:41.960
<v Speaker 7>Being in the game, so to speak.

0:32:42.000 --> 0:32:44.320
<v Speaker 13>I mean, I'm kind of waiting for Sonson to make

0:32:44.400 --> 0:32:48.160
<v Speaker 13>his next big move. And it will be big. Knowing him,

0:32:48.200 --> 0:32:51.360
<v Speaker 13>that's just just that's just the way he wrotes to what.

0:32:51.560 --> 0:32:54.520
<v Speaker 2>End paints us the vision Therefore, because we too have

0:32:54.640 --> 0:32:58.600
<v Speaker 2>heard the AI thesis, this is why the deal that

0:32:58.640 --> 0:33:01.240
<v Speaker 2>you helped orchestrate was first the target.

0:33:01.920 --> 0:33:02.760
<v Speaker 4>But to what end?

0:33:02.760 --> 0:33:04.160
<v Speaker 5>What does he build eventually?

0:33:04.200 --> 0:33:07.280
<v Speaker 2>Because sometimes he's purchasing with soft Bank, sometimes he's purchasing

0:33:07.320 --> 0:33:09.680
<v Speaker 2>with the vc ARM.

0:33:10.040 --> 0:33:13.920
<v Speaker 13>Well, let's be clear, the first vision fund was a

0:33:13.960 --> 0:33:17.160
<v Speaker 13>true fund inasmuch as it involved third party.

0:33:16.880 --> 0:33:18.400
<v Speaker 7>Money mainly from the Middle East.

0:33:18.960 --> 0:33:22.320
<v Speaker 13>The other Vision funds are on balance sheet, so you know,

0:33:22.440 --> 0:33:25.160
<v Speaker 13>the the subtlety of soft Bank versus the vc ARM

0:33:25.800 --> 0:33:30.680
<v Speaker 13>to me, it's it's it's it's not meaningful in that context, right,

0:33:30.720 --> 0:33:32.720
<v Speaker 13>I mean, so, for example, when you read about soft

0:33:32.760 --> 0:33:37.240
<v Speaker 13>Bank buying Graphcore, my understanding is that's a strategic deal.

0:33:37.440 --> 0:33:40.360
<v Speaker 13>In what Sonson intends to do with that in conjunction

0:33:40.560 --> 0:33:42.840
<v Speaker 13>with his ownership of ARM, you know, I think, I

0:33:42.880 --> 0:33:46.160
<v Speaker 13>think remains to be seen. But talking about vision again,

0:33:46.200 --> 0:33:48.200
<v Speaker 13>I mean I speak is I've been out a soft

0:33:48.240 --> 0:33:51.240
<v Speaker 13>Bank for five years now, so I'm obviously not an insider.

0:33:51.800 --> 0:33:54.560
<v Speaker 13>But but you know, in terms of what I see,

0:33:54.800 --> 0:33:57.680
<v Speaker 13>first of all this ARM ARM is and I don't

0:33:57.720 --> 0:34:00.360
<v Speaker 13>follow stocks. I'm not a research analyst, so I'm not

0:34:00.400 --> 0:34:02.960
<v Speaker 13>going to comment on the valuation. But ARM for me

0:34:03.120 --> 0:34:06.720
<v Speaker 13>is remarkably well positioned as AI moves to the edge

0:34:06.720 --> 0:34:09.920
<v Speaker 13>of the network. ARM has always been about blueprints for

0:34:10.040 --> 0:34:13.600
<v Speaker 13>chip design. Energy efficiency has always been their secret source.

0:34:14.000 --> 0:34:15.920
<v Speaker 13>And when you get to the edge, you know AI,

0:34:16.200 --> 0:34:19.640
<v Speaker 13>you know, with Apple Intelligence and smartphones and autonomous cars,

0:34:20.360 --> 0:34:23.040
<v Speaker 13>that gets to be really really important. I think that,

0:34:23.160 --> 0:34:25.440
<v Speaker 13>you know, I think the graph Core acquisition is a

0:34:25.440 --> 0:34:28.160
<v Speaker 13>signal at and I think the company has been pretty

0:34:28.160 --> 0:34:31.200
<v Speaker 13>explicit about it that that that ARM intends to be

0:34:31.239 --> 0:34:35.800
<v Speaker 13>a challenger to to in video in terms of Individia's

0:34:35.800 --> 0:34:39.600
<v Speaker 13>dominances in data centers, So ARM intends to to challenge

0:34:39.640 --> 0:34:42.600
<v Speaker 13>in video in that regard to So there's a lot

0:34:42.640 --> 0:34:43.359
<v Speaker 13>of that going on.

0:34:44.040 --> 0:34:45.680
<v Speaker 7>My own view of AI.

0:34:46.120 --> 0:34:49.120
<v Speaker 13>Uh, you know, I do spend a fair bit of

0:34:49.120 --> 0:34:51.440
<v Speaker 13>time with Warber Pinkers as a senior advisor, and what

0:34:51.480 --> 0:34:54.360
<v Speaker 13>they're seeing They've avoided getting into the you know, l

0:34:54.480 --> 0:34:57.600
<v Speaker 13>l ms, but but they've been you know, what they're

0:34:57.640 --> 0:35:01.920
<v Speaker 13>seeing is AI very folk push on their portfolio and

0:35:03.320 --> 0:35:06.839
<v Speaker 13>the implications for deploying AI margin Improumus. Jensen want talked

0:35:06.840 --> 0:35:08.480
<v Speaker 13>about it in his last earnings release. I mean he

0:35:08.480 --> 0:35:11.400
<v Speaker 13>gave the example of m ducts and a thirty percent

0:35:11.440 --> 0:35:15.800
<v Speaker 13>reduction in customer service cars by deploying an AI agent,

0:35:15.880 --> 0:35:17.480
<v Speaker 13>So that that stuff is very, very real.

0:35:17.560 --> 0:35:19.880
<v Speaker 4>Let me ask you saying end conversation.

0:35:21.400 --> 0:35:23.960
<v Speaker 3>They were in early in nvideo SoftBank, but then they

0:35:23.960 --> 0:35:27.240
<v Speaker 3>got out early and threw that, Yeah, five hundred million

0:35:27.280 --> 0:35:29.520
<v Speaker 3>in open AI may not be big. You said that

0:35:29.560 --> 0:35:32.880
<v Speaker 3>they will make their next big bet. How do you

0:35:33.000 --> 0:35:35.920
<v Speaker 3>know that he'll time it right and that in the

0:35:36.040 --> 0:35:38.880
<v Speaker 3>end with AI, whatever happens, he'll be a part of whatever.

0:35:38.920 --> 0:35:40.480
<v Speaker 4>The conversation we're having is.

0:35:41.280 --> 0:35:44.080
<v Speaker 7>What Because the track record speaks for itself. He's done

0:35:44.120 --> 0:35:45.799
<v Speaker 7>it over and over again, right.

0:35:45.880 --> 0:35:48.279
<v Speaker 13>I mean, I think with smartphones he was at least

0:35:48.320 --> 0:35:51.640
<v Speaker 13>two to three years ahead of it. I don't know

0:35:51.800 --> 0:35:54.759
<v Speaker 13>what his next big move will be, but I do

0:35:54.880 --> 0:35:57.040
<v Speaker 13>know it's going to be big, and I think he's

0:35:57.040 --> 0:35:58.759
<v Speaker 13>come out and said it will be something to do

0:35:58.840 --> 0:36:01.800
<v Speaker 13>with AI and it may well involve me. Look, I

0:36:01.800 --> 0:36:04.239
<v Speaker 13>mean energy is another space by soft Bank Energy. Enough

0:36:04.320 --> 0:36:07.520
<v Speaker 13>money people get this, but soft Bank Energy is one

0:36:07.520 --> 0:36:10.600
<v Speaker 13>of the leading solo bar generators and that, as we know,

0:36:10.920 --> 0:36:13.440
<v Speaker 13>is a huge bottleneck in terms of the built out

0:36:13.480 --> 0:36:16.360
<v Speaker 13>of these data centers, I mean the hugely power hungry,

0:36:16.440 --> 0:36:18.880
<v Speaker 13>so could be something in that space, for example.

0:36:18.800 --> 0:36:19.720
<v Speaker 5>Alo Summer.

0:36:20.040 --> 0:36:21.600
<v Speaker 2>We thank you so much for spending some time with

0:36:21.680 --> 0:36:24.320
<v Speaker 2>our senior advisor at Wilbert Pinker's former presidency of a

0:36:24.440 --> 0:36:25.040
<v Speaker 2>SoftBank Group.

0:36:25.120 --> 0:36:25.680
<v Speaker 5>International.

0:36:33.080 --> 0:36:36.200
<v Speaker 2>Interest has just launched Performance Plus ahead of the holiday season.

0:36:36.280 --> 0:36:38.520
<v Speaker 2>It's a new suite of AI and jen Ai tools

0:36:38.800 --> 0:36:41.640
<v Speaker 2>to help advertisers optimize targeting, drive results.

0:36:41.960 --> 0:36:44.680
<v Speaker 5>Hit explain as pinterest CEO Bill Ready, And I'm assuming

0:36:45.080 --> 0:36:45.600
<v Speaker 5>the better.

0:36:45.440 --> 0:36:48.840
<v Speaker 2>Efficiency and targeting for advertisers means more repeat advertisers on

0:36:48.920 --> 0:36:49.440
<v Speaker 2>your platform.

0:36:50.480 --> 0:36:51.880
<v Speaker 14>Yeah, that's exactly right, Caroline.

0:36:52.760 --> 0:36:56.640
<v Speaker 15>You know, we just had pinterest Presents yesterday, which is

0:36:56.640 --> 0:37:01.200
<v Speaker 15>our annual marketing event for advertisers, and a record turnout

0:37:01.239 --> 0:37:03.120
<v Speaker 15>for that. And really at the core of that is

0:37:03.160 --> 0:37:05.560
<v Speaker 15>that over the last two years, we have transformed Pinterest

0:37:05.640 --> 0:37:09.000
<v Speaker 15>from a place that was just digital window shopping to

0:37:09.080 --> 0:37:12.360
<v Speaker 15>a place where people are actually clicking and buying and shopping,

0:37:13.440 --> 0:37:16.560
<v Speaker 15>you know, directly with retailers, and that's given us our

0:37:16.640 --> 0:37:19.319
<v Speaker 15>best product market fit ever with users. But it's also

0:37:19.400 --> 0:37:22.000
<v Speaker 15>cutting through for advertisers where we have more than double

0:37:22.040 --> 0:37:23.920
<v Speaker 15>the number of clicks to advertisers a year on year

0:37:24.000 --> 0:37:27.040
<v Speaker 15>for three consecutive quarters. And as we're bringing them great

0:37:27.120 --> 0:37:30.600
<v Speaker 15>AI driven ad tools, it's like more and more advertisers

0:37:30.640 --> 0:37:31.320
<v Speaker 15>take advantage of that.

0:37:31.960 --> 0:37:32.520
<v Speaker 4>You're brought on.

0:37:32.640 --> 0:37:35.719
<v Speaker 2>Because your expertise and commerce and payments and a whole

0:37:35.760 --> 0:37:39.520
<v Speaker 2>wealth at Google. I'm interested Bill as to where the

0:37:39.600 --> 0:37:44.680
<v Speaker 2>clicks are being made, which products, which demographic you serve well.

0:37:44.760 --> 0:37:48.520
<v Speaker 15>So that's a great question, Caroline, because we have really

0:37:48.600 --> 0:37:51.200
<v Speaker 15>become the place that gen Z goes to shop. So

0:37:51.560 --> 0:37:54.120
<v Speaker 15>we have more than forty percent of our users our

0:37:54.239 --> 0:37:58.160
<v Speaker 15>gen Z and it's our largest, fastest growing demographic. And

0:37:58.400 --> 0:38:00.960
<v Speaker 15>gen Z states that the number one reason they go

0:38:01.040 --> 0:38:03.600
<v Speaker 15>to pinterest is for shopping, and more than sixty percent

0:38:03.640 --> 0:38:06.320
<v Speaker 15>of them say that they're always shopping. So when you

0:38:06.400 --> 0:38:09.000
<v Speaker 15>think about the rise of gen Z, where they're buying

0:38:09.080 --> 0:38:11.359
<v Speaker 15>power is just growing tremendously. In fact, over the next

0:38:11.440 --> 0:38:16.360
<v Speaker 15>five years, gen Z is predicted to bypass Baby boomers

0:38:16.480 --> 0:38:19.400
<v Speaker 15>in buying power over the next five years. And Pinterest

0:38:19.920 --> 0:38:21.840
<v Speaker 15>is where gen Z goes to shop, and so obviously

0:38:21.840 --> 0:38:24.080
<v Speaker 15>a great place for advertisers to meet that really important

0:38:24.160 --> 0:38:24.800
<v Speaker 15>growing audience.

0:38:25.840 --> 0:38:28.040
<v Speaker 3>Bill, do you have a sense for this upcoming holiday

0:38:28.160 --> 0:38:30.759
<v Speaker 3>season if what the biggest funnel.

0:38:30.600 --> 0:38:32.759
<v Speaker 4>For you will be, or at least who you will

0:38:32.840 --> 0:38:33.319
<v Speaker 4>help the most.

0:38:33.400 --> 0:38:35.160
<v Speaker 3>You and I have talked a lot about the relationship

0:38:35.200 --> 0:38:38.799
<v Speaker 3>with Amazon, for example, but also some of the other

0:38:38.880 --> 0:38:41.680
<v Speaker 3>names from China are becoming increasingly important for you.

0:38:43.000 --> 0:38:46.800
<v Speaker 15>Yeah, So we're really broadening our reach with advertisers. So

0:38:47.400 --> 0:38:50.440
<v Speaker 15>as we opened up the stores on our platform, we

0:38:50.560 --> 0:38:53.560
<v Speaker 15>saw the largest, most sophisticated advertisers lean in first, which

0:38:53.600 --> 0:38:56.000
<v Speaker 15>is great because they're the hardest to please, the most discerning.

0:38:56.719 --> 0:38:58.680
<v Speaker 15>But what we're seeing now is that that's really widening,

0:38:58.800 --> 0:39:02.080
<v Speaker 15>and when with Performance Plus and those AI driven tools,

0:39:02.160 --> 0:39:04.120
<v Speaker 15>it's really making it easier for a broader set of

0:39:04.160 --> 0:39:08.160
<v Speaker 15>advertisers to take advantage where it gives them automated campaign creation,

0:39:08.320 --> 0:39:12.760
<v Speaker 15>automated creative and so we're seeing big advertisers win. For example,

0:39:12.800 --> 0:39:15.919
<v Speaker 15>Walgreens is seeing a fifty five percent improvement and click

0:39:15.960 --> 0:39:20.000
<v Speaker 15>through rate by using our generated backgrounds so the products

0:39:20.000 --> 0:39:23.840
<v Speaker 15>look more attractive, so you can see that shampoo or

0:39:23.920 --> 0:39:25.960
<v Speaker 15>that hand soap and what your bathroom might look like.

0:39:26.360 --> 0:39:29.440
<v Speaker 15>But we're also seeing as we go down to smaller

0:39:29.520 --> 0:39:32.480
<v Speaker 15>up and coming advertisers like Ruggables, which is a really

0:39:32.520 --> 0:39:35.920
<v Speaker 15>fantastic home goods company. We are now their largest traffic

0:39:36.040 --> 0:39:40.520
<v Speaker 15>source by volume and efficiency, literally driving three times the

0:39:40.560 --> 0:39:43.839
<v Speaker 15>clicks at half the costs. So these AI driven tools

0:39:43.880 --> 0:39:46.440
<v Speaker 15>are really broadening out the set of advertisers on our platform.

0:39:48.560 --> 0:39:51.200
<v Speaker 3>Bill we've been taking a lot about augmented reality. Check

0:39:51.239 --> 0:39:54.239
<v Speaker 3>out my piece on metas o Ryan, will Pinterest make

0:39:54.360 --> 0:39:58.520
<v Speaker 3>investments in hardware for AR or partner with meta snaping

0:39:58.600 --> 0:39:59.399
<v Speaker 3>span what you're doing?

0:40:00.600 --> 0:40:04.200
<v Speaker 15>We're not a hardware platform, but we are seeing that

0:40:04.320 --> 0:40:09.839
<v Speaker 15>we have become increasingly a destination for our users. More

0:40:09.920 --> 0:40:13.080
<v Speaker 15>than eighty percent of our usage is people coming to

0:40:13.160 --> 0:40:18.000
<v Speaker 15>our mobile app directly, and that usage increasingly is more

0:40:18.000 --> 0:40:19.759
<v Speaker 15>than half our easier here to shop, This even more

0:40:19.840 --> 0:40:23.000
<v Speaker 15>so with gen z. So I think as you look

0:40:23.040 --> 0:40:26.240
<v Speaker 15>at these visual exploration journeys, this is really where pinterest

0:40:26.360 --> 0:40:28.400
<v Speaker 15>is winning that on visual exploration.

0:40:29.120 --> 0:40:32.160
<v Speaker 14>Visual search shopping is inherently a visual journey.

0:40:32.200 --> 0:40:35.000
<v Speaker 15>So these kinds of things are really where Pinterest stands out,

0:40:35.400 --> 0:40:37.920
<v Speaker 15>and we see users coming to us directly for that increasingly.

0:40:38.400 --> 0:40:40.160
<v Speaker 5>Are you llm agnostic?

0:40:40.239 --> 0:40:43.719
<v Speaker 2>What's the underlying technology driving these innovations.

0:40:43.840 --> 0:40:46.279
<v Speaker 14>Yeah, great question. So you know, AI has become a

0:40:46.360 --> 0:40:47.560
<v Speaker 14>core competency for us.

0:40:48.040 --> 0:40:50.880
<v Speaker 15>I've talked about previously how when we move to GPU

0:40:51.000 --> 0:40:54.719
<v Speaker 15>serving in large models, you have models one hundred times

0:40:54.800 --> 0:40:57.200
<v Speaker 15>larger than what they were two years ago. That gave

0:40:57.280 --> 0:41:00.440
<v Speaker 15>us a ten percentage point lift in real andy of

0:41:00.480 --> 0:41:03.839
<v Speaker 15>our recommendations. But the AI is only as good as

0:41:03.840 --> 0:41:05.960
<v Speaker 15>a signal upon which it's acting, and what we have

0:41:06.160 --> 0:41:10.080
<v Speaker 15>is really unique signal where, unlike other platforms, users come

0:41:10.120 --> 0:41:13.600
<v Speaker 15>to Pinterest and curate their taste, how's that handbag going

0:41:13.640 --> 0:41:15.600
<v Speaker 15>to look with that dress, with this pair of shoes,

0:41:15.840 --> 0:41:18.759
<v Speaker 15>and hundreds of millions of users do that every day,

0:41:19.440 --> 0:41:21.160
<v Speaker 15>and so that gives us really unique signal to say,

0:41:21.200 --> 0:41:23.239
<v Speaker 15>what's a great recommendation not just for that user but

0:41:23.360 --> 0:41:26.600
<v Speaker 15>for other users. So when we're training models, we're training

0:41:26.680 --> 0:41:29.399
<v Speaker 15>on completely unique signal to our platform. We actually see

0:41:29.440 --> 0:41:33.040
<v Speaker 15>that when we test llms off the shelf from major

0:41:33.160 --> 0:41:36.879
<v Speaker 15>LM providers, we actually see that when that same LLM

0:41:37.040 --> 0:41:40.160
<v Speaker 15>is tuned on our signal, we get three hundred basis

0:41:40.200 --> 0:41:43.560
<v Speaker 15>points of additional engagement from our unique signal, which really

0:41:43.600 --> 0:41:45.880
<v Speaker 15>makes tangible how unique our signal is relative to what

0:41:45.960 --> 0:41:47.520
<v Speaker 15>these lms have elsewhere.

0:41:47.520 --> 0:41:50.239
<v Speaker 5>Interesting CEO Phil Ready, We thank you for your time.

0:41:50.880 --> 0:41:53.320
<v Speaker 5>Now that does it for this edition of BlueBag Technology ED.

0:41:54.160 --> 0:41:55.840
<v Speaker 4>Check out the podcast you know where to find it.

0:41:56.120 --> 0:41:57.240
<v Speaker 4>This has been bad technology