WEBVTT - OpenAI's Mega Valuation and SpaceX's First Commercial Spacewalk

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<v Speaker 1>From the heart where innovation, money and power. Collie in

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<v Speaker 1>Silicon Valley, NBN. This is Bloomberg Technology with Caroline Hyde

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<v Speaker 1>and Ed Ludlove.

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<v Speaker 2>We are live from New York and San Francisco. This

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<v Speaker 2>is Bloomberg Technology coming up. Open ai gets closer to

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<v Speaker 2>a new AI model that reasons and a new mega

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<v Speaker 2>valuation of one hundred and fifty billion dollars.

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<v Speaker 3>An inteler at a crossroads, the chipmaker reaching a pivotal

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<v Speaker 3>moment with a decade of dominance at risk.

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<v Speaker 2>And the first commercial spacewalk plaras Dawn hits mission goals

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<v Speaker 2>seven hundred kilometers above the Earth. But first, let's just

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<v Speaker 2>check in on these markets, because we are rallying once again,

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<v Speaker 2>four straight days agains on then aw's that one hundred

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<v Speaker 2>I'm looking at ED four and a half the high

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<v Speaker 2>we add a trillion dollars in large part because some

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<v Speaker 2>single names like in video, but in video is also

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<v Speaker 2>linked to the world of artificial intelligence and exactly where

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<v Speaker 2>we want to dig in on.

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<v Speaker 3>Yeah, let's get to our top story. Open ai is

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<v Speaker 3>in talks to raise six point five billion dollars from investors,

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<v Speaker 3>catapulting the AI startup to a one hundred and fifty

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<v Speaker 3>billion dollar valuation. This is the company gets ready to

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<v Speaker 3>release its latest AI model, code named Strawberry. For more Bloombergs,

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<v Speaker 3>Rachel Metz joins us and Rachel You and I working

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<v Speaker 3>with Gillian tan mark Bergen on reporting this primary round

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<v Speaker 3>and long story short, one hundred and fifty billion dollars

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<v Speaker 3>is a very big number in terms of valuation. What

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<v Speaker 3>do we know about open AI's latest fundraise.

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<v Speaker 4>Well, we know that they are trying to raise quite

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<v Speaker 4>a bit of money, and they're also trying to raise

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<v Speaker 4>an amount in the form of debt. And then as

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<v Speaker 4>as you and I and some of our colleagues reported

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<v Speaker 4>that they are hoping to do this at quite a

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<v Speaker 4>high valuation. This would be on hundred fifty billion, would

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<v Speaker 4>be much higher than the amount that we've previously reported,

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<v Speaker 4>which was under one hundred million, sorry, under one hundred billion.

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<v Speaker 4>And I mean, I think we have to think about

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<v Speaker 4>when we think about this company trying to raise a

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<v Speaker 4>lot of money, is that what you're doing is extremely expensive.

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<v Speaker 4>I mean, they are building enormous AI systems and they're

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<v Speaker 4>running enormous AI systems, and that costs a lot of money.

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<v Speaker 2>Let's just talk about where the money is being spent.

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<v Speaker 2>The latest model Strawberry. This is where training of these

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<v Speaker 2>models the compute the talent, but what's the outcome.

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<v Speaker 4>So Strawberry is a model that's been in the works

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<v Speaker 4>for a while, and essentially what they are hoping that

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<v Speaker 4>it can do is some tasks that are similar to

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<v Speaker 4>how humans would conduct reasoning. It's going to be aimed

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<v Speaker 4>at things like more complicated math and coding questions and

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<v Speaker 4>prompts than have been possible in the past. Source that

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<v Speaker 4>I spoke to that has tried it out said it

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<v Speaker 4>was able to solve a problem that's been kind of

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<v Speaker 4>popular on social media lately. Is nine point one point

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<v Speaker 4>one larger than nine point nine, which is the kind

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<v Speaker 4>of thing that a human might find simple but convex computers.

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<v Speaker 3>The other thing we reported rachel our sources telling us

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<v Speaker 3>that open ais one to the banks and is looking

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<v Speaker 3>at doing about five billion dollars of debt in the

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<v Speaker 3>form of a revolving credit line. It's not sort of unusual,

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<v Speaker 3>but it makes me think that open ai is kind

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<v Speaker 3>of getting to company scale. We keep calling it a startup,

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<v Speaker 3>but do we actually have any sense of how much

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<v Speaker 3>money all of this technology is bringing in for them.

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<v Speaker 3>How much of a business they have beyond just constant

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<v Speaker 3>R and D and new model innovation.

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<v Speaker 4>Yeah, they actually have been able to scale their business

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<v Speaker 4>quite a bit over the past year. They've released several

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<v Speaker 4>different enterprise products, and we actually know from our recent

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<v Speaker 4>reporting that they reached over they reached a milestone in

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<v Speaker 4>terms of how many people are using their enterprise versions

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<v Speaker 4>of chat GBT. This would be individual users, not customers.

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<v Speaker 4>So if they're able to keep growing and growing on

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<v Speaker 4>that side, then they're bringing in lots of money. So

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<v Speaker 4>the money that they're raising, perhaps that could be there'd

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<v Speaker 4>be a little less pressure on that.

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<v Speaker 3>Bloombost Rachel Mets brilliant reporting, deep reporting, and something that

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<v Speaker 3>a lot of people talking about online as well. Thank

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<v Speaker 3>you very much. Now, this week is a pivotal one

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<v Speaker 3>for Intel. Intel's board has been weighing how to move

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<v Speaker 3>forward after its latest earnings report and plans to slash

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<v Speaker 3>fifteen thousand job which leaves Intel with a few options,

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<v Speaker 3>including scaling back some of its multi billion dollar factory projects,

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<v Speaker 3>selling off subsidiaries, or splitting Intel's core operations into separate

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<v Speaker 3>units or companies. Bloomberg's Ian King pend this big take

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<v Speaker 3>and actually you kind of get it all in the

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<v Speaker 3>first paragraph is slow motion disaster. Where are they in

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<v Speaker 3>the slow motion action that's happening.

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<v Speaker 5>It's been tough for a while, right, They've been trying

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<v Speaker 5>to do too fundamentally competing things, which is to spend

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<v Speaker 5>a lot of money on restoring this company to where

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<v Speaker 5>it was at a time when business has turned against

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<v Speaker 5>them and away from them.

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<v Speaker 2>And in just jumping in here, what's so interesting is

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<v Speaker 2>what's on the exact agenda over these three days which

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<v Speaker 2>culminates today. Pat Gelsinger in any trouble here.

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<v Speaker 5>Yeah, I mean not according to our reporting. As you

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<v Speaker 5>saw in the story. One of the sources that we

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<v Speaker 5>spoke to said that that's not the kind of board

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<v Speaker 5>meeting that we're up to at this particular point. What

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<v Speaker 5>we're up to is looking at what Intel does. It's

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<v Speaker 5>a huge company, one hundred thousand people, what it does,

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<v Speaker 5>where it's focusing, where it's spending, to look at perhaps

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<v Speaker 5>discontinuing some of the things that are a little bit

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<v Speaker 5>peripheral to save some money to focus on trying to

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<v Speaker 5>push that plan. And that's Pat Gelsinger's plan forward at

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<v Speaker 5>this point that's kind of where we are.

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<v Speaker 3>As best you can then take us inside the room

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<v Speaker 3>of the board meeting and kind of of all the

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<v Speaker 3>options available to them. What are they considering right now?

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<v Speaker 5>Yeah, I mean the first thing on the agenda, as

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<v Speaker 5>far as we understand it, is this factory network. You'll

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<v Speaker 5>remember we've done all of these stories and spoken about

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<v Speaker 5>big plants in Ohio, big plant in Magdeburg and Germany.

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<v Speaker 5>Obviously an extension of what they already have in Arizona,

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<v Speaker 5>and smaller projects around the world. That is a lot

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<v Speaker 5>of money being poured into the ground in anticipation of

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<v Speaker 5>business growing significantly. What we learned from earnings was that

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<v Speaker 5>business is not growing to match that footprint, whether it's

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<v Speaker 5>a footprint physically or whether it's a headcount. So clearly

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<v Speaker 5>that focus is on right sizing the company around what

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<v Speaker 5>they've got coming in in terms of orders and money, and.

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<v Speaker 2>In what you do so well in the story. It's

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<v Speaker 2>a context, isn't it that this isn't an overnight issue.

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<v Speaker 2>This has been long time coming.

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<v Speaker 5>Yeah, I know, that's that's absolutely true. I mean, you know,

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<v Speaker 5>the focus that the traditional Wall Street playbook would be

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<v Speaker 5>or look at the management, do we need a new management.

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<v Speaker 5>Do we need to spit all of those kind of

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<v Speaker 5>standard playbook things don't really apply here, at least not yet.

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<v Speaker 5>I mean Pat Gelsinger, remember, was brought in to fix

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<v Speaker 5>the problems that already existed.

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<v Speaker 2>He gave a.

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<v Speaker 5>Prescription that everybody signed off on and agreed with. The

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<v Speaker 5>problem that we have is that that prescription is being

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<v Speaker 5>proving more painful than perhaps we had expected, and clearly

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<v Speaker 5>the market does not like that.

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<v Speaker 2>We're just looking at the revenue growth that the market

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<v Speaker 2>does not like. Inking we so appreciate it, thank you.

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<v Speaker 2>Let's just talk about what the market's also having to

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<v Speaker 2>digest with Microsoft saying it's going to be cutting six

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<v Speaker 2>hundred and fifty jobs in its Xbox unit, the third

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<v Speaker 2>such layoffs this year, as the company is just trying

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<v Speaker 2>to rein in costs and integrate that massive sixty nine

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<v Speaker 2>billion dollar acquisition of Activision Blizzard. The roles to be

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<v Speaker 2>eliminated are, in quote, mostly corporate and supporting functions, according

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<v Speaker 2>to a memo sent staff like Xbox chief Phil Spencer.

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<v Speaker 2>Today and what have we got coming up?

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<v Speaker 3>Yes, some breaking news on the Bloomberg terminal. Apple has

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<v Speaker 3>got FDA authorization for its AirPods to act as hearing

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<v Speaker 3>aids in a hearing aid feature. We were tracking this

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<v Speaker 3>one because they said just on Monday during the presentation

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<v Speaker 3>that they were going to get it, and they did.

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<v Speaker 3>And you look at some of the other hearing aid stocks,

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<v Speaker 3>they're not moving right now. They were when that news

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<v Speaker 3>first came out. Apple flat in what's been an interesting week.

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<v Speaker 3>But we've got a lot coming up on the show too. Yeah,

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<v Speaker 3>we've got to talk about what's happening up in the Skycarrier.

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<v Speaker 3>Historic day for SpaceX and Polarist.

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<v Speaker 6>Dawn.

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<v Speaker 3>I'm very much looking forward to this one. Stick with us.

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<v Speaker 3>This is Bloomberg Technology. Some quick cause. Micron under pressure

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<v Speaker 3>this morning. They start stock touching it's lowest level nearly

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<v Speaker 3>seven months. As some analyst reactions. BNP with a double downgrade,

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<v Speaker 3>cutting shares to underperform from outperform with a street low

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<v Speaker 3>price target. The analyst warning of a correction in DRAM

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<v Speaker 3>prices due to some oversupply risks.

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<v Speaker 2>Carroc now some breaking new some brumbo that General Motors

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<v Speaker 2>is in discussions to buy EV batteries that we use

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<v Speaker 2>technology from China's c at L and be assembled at

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<v Speaker 2>a new plant slated actually to be built here in

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<v Speaker 2>the United States. It's all according to sources. Gabikopole is

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<v Speaker 2>here to break it down, and well, this is a

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<v Speaker 2>political handball.

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<v Speaker 7>It feels like, yes, you know, it is very sensitive.

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<v Speaker 2>You know, we've got US and China.

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<v Speaker 7>The US is trying really hard to decouple from China,

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<v Speaker 7>and Chinese companies are trying really hard to access the

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<v Speaker 7>US market. And the automakers, the American automakers are cart

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<v Speaker 7>in the middle because you know, GM for you know,

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<v Speaker 7>every st they've all poured billions of dollars into making

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<v Speaker 7>batteries and forming joint ventures with their Korean battery makers,

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<v Speaker 7>and you know, I've gotten a lot of subsidies from

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<v Speaker 7>the US government order to do so. But because evs

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<v Speaker 7>are not selling well, because they've had struggles making batteries,

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<v Speaker 7>which is normal, you know, making batteries and evs for

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<v Speaker 7>the first time in your one hundred year history. It's

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<v Speaker 7>not going to go smoothly right off of bat It

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<v Speaker 7>never does. Didn't for Tesla, it doesn't for anybody. So

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<v Speaker 7>they're under pressure. And so this potential deal, which is

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<v Speaker 7>still tentative, you know, it's just talks. Nothing is finalized.

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<v Speaker 7>Would be a way for American car companies to get

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<v Speaker 7>access to cheap, you know, really cutting edge battery technology

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<v Speaker 7>from China without tripping up all the political wires that

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<v Speaker 7>could you know, potentially trip up when you work with

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<v Speaker 7>a Chinese company.

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<v Speaker 3>Right, Well, I think the basics of what we heard

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<v Speaker 3>from sources is really important. The mechanics are such that

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<v Speaker 3>the battery technology is licensed from c ATL, a Chinese company,

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<v Speaker 3>but the operations around by a conglomerate from Japan called TDK,

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<v Speaker 3>which many of the people on this show probably haven't

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<v Speaker 3>heard of, but they're basically a consumer electronics company, and

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<v Speaker 3>then GM and other automakers, I think is what we're hearing,

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<v Speaker 3>right Gabby would buy the batteries on fixed term contracts,

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<v Speaker 3>so they're kind of insulated from price wings take it

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<v Speaker 3>from there.

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<v Speaker 7>What else do we know, Well, I think, you know,

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<v Speaker 7>I think one of the most interesting things about this

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<v Speaker 7>is that you've got a Japanese company acting as a middleman.

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<v Speaker 7>You know, up until now, we've seen Ford and Tesla

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<v Speaker 7>do these kind of cute kind of licensing the hills

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<v Speaker 7>where they can use c ATL technology without you know,

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<v Speaker 7>violating rules or tripping any political wires. Now this is

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<v Speaker 7>a new development and how the auto industry is adapting

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<v Speaker 7>to the political environment and the UV environment and the

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<v Speaker 7>fact that they're.

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<v Speaker 1>You know, not profitable on making VS yet.

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<v Speaker 7>So we know that, yes, we know that GM and

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<v Speaker 7>CTL and Japan's TDK, which makes battery, there's employer for

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<v Speaker 7>the iPhone. They you know, make batteries consumer electronics. They

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<v Speaker 7>want to get into the EV battery business and this

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<v Speaker 7>could be a way into it. So they're looking at

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<v Speaker 7>states in the southern US, you know. And I think

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<v Speaker 7>that you know, obviously this is so sensitive politically that

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<v Speaker 7>I think the results of the presidential election November it

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<v Speaker 7>could potentially, you know, affect the outcome.

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<v Speaker 8>Of these talks.

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<v Speaker 3>That's what sources told us. Bloombergs Gavy Coppl are great reporting,

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<v Speaker 3>really interesting reporting alongside you. Thank you. Okay. It was

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<v Speaker 3>a historic day for SpaceX. The company's polarist, Dawn Crewe,

0:12:32.200 --> 0:12:38.599
<v Speaker 3>successfully completed the first commercial spacewalk. Tech billionaire Jaredisingcman was

0:12:38.640 --> 0:12:42.280
<v Speaker 3>the first of the crew to step foot outside. Here's

0:12:42.320 --> 0:12:43.240
<v Speaker 3>what he experienced.

0:12:44.360 --> 0:12:44.839
<v Speaker 7>Back at home.

0:12:44.880 --> 0:12:46.560
<v Speaker 9>We all have a lot of working here, but from

0:12:46.600 --> 0:12:49.640
<v Speaker 9>here works looked like a perfect.

0:12:49.360 --> 0:12:55.040
<v Speaker 3>World for more ez in a Uzukoro of the Harvard

0:12:55.040 --> 0:12:58.480
<v Speaker 3>Belfa Center joins us. She was formerly Assistant Director for

0:12:58.559 --> 0:13:01.920
<v Speaker 3>Space Policy at the White House, where she led advancements

0:13:02.160 --> 0:13:05.040
<v Speaker 3>in space launch capabilities, as well as a former NASA

0:13:05.160 --> 0:13:10.800
<v Speaker 3>executive with over sixty space mission contributions. And let's start

0:13:10.800 --> 0:13:13.600
<v Speaker 3>with your reaction to what happened in just a few

0:13:13.679 --> 0:13:14.120
<v Speaker 3>hours ago.

0:13:16.480 --> 0:13:21.360
<v Speaker 10>This is a huge success at its monumental not just

0:13:21.600 --> 0:13:26.040
<v Speaker 10>for astronauts, but for anybody with a dream for space

0:13:26.120 --> 0:13:31.360
<v Speaker 10>ACX to test the market viability of space tourism, for

0:13:31.679 --> 0:13:37.080
<v Speaker 10>us to determine if space tourism can really grow quite

0:13:37.200 --> 0:13:41.520
<v Speaker 10>like the early days of aviation. So this is fantastic.

0:13:43.360 --> 0:13:46.880
<v Speaker 3>The images on the screen that you're seeing are from

0:13:47.000 --> 0:13:52.400
<v Speaker 3>Jared Isaigman's helmet camera from the custom spacesuit, and now

0:13:52.480 --> 0:13:57.400
<v Speaker 3>what you're seeing is the nose cone camera from atop

0:13:57.480 --> 0:14:00.560
<v Speaker 3>the Dragon capsule. But this is the question so many

0:14:00.600 --> 0:14:04.480
<v Speaker 3>people asked me this morning. Was it actually a spacewalk?

0:14:08.960 --> 0:14:13.280
<v Speaker 10>Yes, technically it was because they were outside their capsule,

0:14:13.640 --> 0:14:19.800
<v Speaker 10>their spacecraft, and they have a railing that they were

0:14:19.880 --> 0:14:22.320
<v Speaker 10>holding on to and they were outside their capsule for

0:14:22.400 --> 0:14:28.080
<v Speaker 10>ten minutes each, Both tired and Sarah the other astronaut,

0:14:28.240 --> 0:14:31.440
<v Speaker 10>and this is risky. You think of a spacesuit as

0:14:31.720 --> 0:14:36.920
<v Speaker 10>a spacecraft in itself because it monitors their temperature and

0:14:37.840 --> 0:14:42.360
<v Speaker 10>controls their vitals while they are outside. And what we

0:14:42.560 --> 0:14:47.720
<v Speaker 10>see is is how successful this was after a mere

0:14:47.840 --> 0:14:52.080
<v Speaker 10>few years of training versus the decade that one trains

0:14:52.160 --> 0:14:54.040
<v Speaker 10>for when you were a professional astronaut.

0:14:54.840 --> 0:14:58.360
<v Speaker 2>Phenomenal when it comes to commercial space success as an

0:14:58.400 --> 0:15:03.200
<v Speaker 2>a what we love when they come back and they're tested,

0:15:03.360 --> 0:15:07.360
<v Speaker 2>because this is about radiation exposure as well. How tough

0:15:07.440 --> 0:15:08.720
<v Speaker 2>could this have been on their bodies?

0:15:10.840 --> 0:15:14.160
<v Speaker 10>Absolutely tough. You can be hot for one moment, you

0:15:14.240 --> 0:15:16.760
<v Speaker 10>could be cold another moment. Your fingers could hurt.

0:15:17.280 --> 0:15:18.040
<v Speaker 2>So even though it's.

0:15:18.000 --> 0:15:22.120
<v Speaker 10>Cold in space, there could be pressures within the suit

0:15:22.440 --> 0:15:26.040
<v Speaker 10>that make you feel a very warm. So this was

0:15:26.160 --> 0:15:30.960
<v Speaker 10>a complete thorough test of the spacesuit which SpaceX intends

0:15:31.000 --> 0:15:35.320
<v Speaker 10>to use for future Moon missions, for future Mars missions,

0:15:35.600 --> 0:15:38.040
<v Speaker 10>and so there will be a lot of lessons learned

0:15:39.360 --> 0:15:41.120
<v Speaker 10>in those regards. But I think if you think of

0:15:41.200 --> 0:15:46.560
<v Speaker 10>the trillion dollar space economy that has been discussed for

0:15:47.360 --> 0:15:51.120
<v Speaker 10>decades now, this is really an exciting point to see

0:15:51.120 --> 0:15:54.200
<v Speaker 10>if there is viability in that market, to see how

0:15:55.120 --> 0:16:00.960
<v Speaker 10>much growth the sector will endure due to this SASS Today.

0:16:01.520 --> 0:16:04.360
<v Speaker 2>Sarah Gillis was out there as well, and I think

0:16:04.440 --> 0:16:07.200
<v Speaker 2>it was hers saying, this is really integral for data

0:16:07.800 --> 0:16:10.400
<v Speaker 2>to back to SpaceX, but they don't really know yet

0:16:10.480 --> 0:16:12.920
<v Speaker 2>what they'll be doing with it. At the moment, it

0:16:13.000 --> 0:16:15.680
<v Speaker 2>just feels like SpaceX is cleaning up when it comes

0:16:15.720 --> 0:16:17.280
<v Speaker 2>to space success is.

0:16:17.320 --> 0:16:24.720
<v Speaker 10>It and they are doing remarkably well. It's it's obviously

0:16:26.520 --> 0:16:30.040
<v Speaker 10>due to their their vision, their hard work, and this

0:16:30.240 --> 0:16:35.240
<v Speaker 10>success is just so so impressive because space walks are

0:16:35.360 --> 0:16:40.680
<v Speaker 10>risky and you have astronauts that are not professional astronauts,

0:16:40.720 --> 0:16:43.800
<v Speaker 10>and the company has been planning this mission for years

0:16:43.840 --> 0:16:47.600
<v Speaker 10>and not decades and they pulled it off us successfully.

0:16:47.760 --> 0:16:52.280
<v Speaker 10>So it's it's very critical to realize the feed that

0:16:52.440 --> 0:16:55.440
<v Speaker 10>was accomplished today. It's incredibly impressive.

0:16:56.080 --> 0:17:00.400
<v Speaker 2>Thanks for giving the context it deserves as in a Okura,

0:17:00.600 --> 0:17:02.600
<v Speaker 2>Great to have you with us. Harvid Belfer Center senior

0:17:02.640 --> 0:17:13.920
<v Speaker 2>fellow and former NASSER executive. Broadening out to the world

0:17:13.960 --> 0:17:17.280
<v Speaker 2>of tech investing investing more broadly, Betterment, which builds itself

0:17:17.320 --> 0:17:20.760
<v Speaker 2>as the largest independent digital financial advisor, just come out

0:17:20.840 --> 0:17:23.360
<v Speaker 2>with first of it's kind survey showing four in five

0:17:23.480 --> 0:17:27.360
<v Speaker 2>advisors using AI in their work to discuss how artificial

0:17:27.400 --> 0:17:30.359
<v Speaker 2>intelligence is managing your money. Vetterment CEO Sarah Levy is

0:17:30.400 --> 0:17:34.160
<v Speaker 2>here with us. Sarah, what made you run these sorts

0:17:34.200 --> 0:17:36.240
<v Speaker 2>of numbers. I know that you're looking at this particular

0:17:36.280 --> 0:17:38.399
<v Speaker 2>part of the business, you're rebranding it, but you just

0:17:38.480 --> 0:17:41.520
<v Speaker 2>wanted to understand how these advisors are getting to groups

0:17:41.520 --> 0:17:41.840
<v Speaker 2>of AI.

0:17:42.440 --> 0:17:44.800
<v Speaker 11>So the key for us is that the advisor we

0:17:45.000 --> 0:17:48.399
<v Speaker 11>serve tends to be more of a millennial advisor, and

0:17:48.520 --> 0:17:50.879
<v Speaker 11>this is a growing group and they're much more technically

0:17:50.920 --> 0:17:54.200
<v Speaker 11>sophisticated than their predecessors, and so they don't sort of

0:17:54.280 --> 0:17:57.359
<v Speaker 11>suffer fools lightly when you think about the technology choices,

0:17:57.400 --> 0:18:00.320
<v Speaker 11>the user interface, the power, we really they need to

0:18:00.320 --> 0:18:03.760
<v Speaker 11>provide them with powerful tools and so Betterment Advisor Solutions

0:18:04.000 --> 0:18:07.480
<v Speaker 11>is our advisor arm and our roots were originally with

0:18:07.720 --> 0:18:10.520
<v Speaker 11>the retail investor, where we learned a lot, But what

0:18:10.840 --> 0:18:13.880
<v Speaker 11>we've learned for advisors is they can harness the power

0:18:13.920 --> 0:18:16.840
<v Speaker 11>of technology just so much more, and AI for.

0:18:16.960 --> 0:18:19.040
<v Speaker 8>Me is really a continuation on that spectrum.

0:18:19.119 --> 0:18:19.239
<v Speaker 3>Right.

0:18:19.440 --> 0:18:22.840
<v Speaker 11>We introduced automation to save time, to save money, to

0:18:22.920 --> 0:18:26.720
<v Speaker 11>help with customer retention, and AI just furthers that journey.

0:18:26.760 --> 0:18:29.440
<v Speaker 2>Really, what are they using are they're using generative AIPSA,

0:18:29.880 --> 0:18:32.640
<v Speaker 2>and how are they saving themselves time? How they're more productive?

0:18:33.160 --> 0:18:35.639
<v Speaker 8>So I think of AI a lot like digital.

0:18:35.680 --> 0:18:37.720
<v Speaker 11>If you think back to call it two decades ago,

0:18:37.760 --> 0:18:39.240
<v Speaker 11>when we talked about digital and you said, you have

0:18:39.320 --> 0:18:42.520
<v Speaker 11>digital companies and you have analog companies, right, And at

0:18:42.560 --> 0:18:44.480
<v Speaker 11>the time people would ask, you know, are you going

0:18:44.560 --> 0:18:45.320
<v Speaker 11>to work in digital?

0:18:45.400 --> 0:18:47.199
<v Speaker 8>And then digital became sort of part of the fabric

0:18:47.280 --> 0:18:47.840
<v Speaker 8>of everything we do.

0:18:48.520 --> 0:18:51.200
<v Speaker 11>That's how we think about AI, which is it's really

0:18:51.320 --> 0:18:54.719
<v Speaker 11>just powering the humans to do better, stronger, faster. Right,

0:18:54.960 --> 0:18:59.200
<v Speaker 11>So everything from pair of planning right before you meet

0:18:59.200 --> 0:19:01.640
<v Speaker 11>with a client as advisor, and then after you meet

0:19:01.680 --> 0:19:02.920
<v Speaker 11>with that client, there's a lot of work to do.

0:19:03.280 --> 0:19:05.680
<v Speaker 11>AI can just take a lot of that administrative burden

0:19:05.760 --> 0:19:06.320
<v Speaker 11>off the plate.

0:19:06.440 --> 0:19:08.960
<v Speaker 8>That's just one great example, Sarah.

0:19:09.080 --> 0:19:13.600
<v Speaker 3>The better question posed by the Better Men survey is

0:19:13.800 --> 0:19:17.760
<v Speaker 3>whether those four out of five financial advisors who are

0:19:17.880 --> 0:19:20.199
<v Speaker 3>using AI, because loads of people watching this program will

0:19:20.240 --> 0:19:23.600
<v Speaker 3>have a financial advisor, whether AI actually makes them better

0:19:24.400 --> 0:19:26.800
<v Speaker 3>in managing people's money. Is there any evidence of that?

0:19:27.640 --> 0:19:30.600
<v Speaker 11>Well, I think I wouldn't think about AI as actually

0:19:30.760 --> 0:19:34.520
<v Speaker 11>managing people's money. Remember, as a financial planner, we are fiduciary.

0:19:35.000 --> 0:19:38.480
<v Speaker 11>Our advisors are fiduciaries. We as an RIA or fiduciaries.

0:19:38.720 --> 0:19:40.359
<v Speaker 11>So I think the way you want to think about

0:19:40.440 --> 0:19:45.280
<v Speaker 11>AI is basically giving back time and saving money for

0:19:45.400 --> 0:19:47.399
<v Speaker 11>the advisor so that the advisor can focus on the

0:19:47.440 --> 0:19:50.520
<v Speaker 11>client and on the investment solutions. And that's really the

0:19:50.560 --> 0:19:53.359
<v Speaker 11>benefit that they're getting AI. The computers are not taking

0:19:53.440 --> 0:19:56.040
<v Speaker 11>over the world, right, The human advice is still a

0:19:56.160 --> 0:20:00.399
<v Speaker 11>critical component of getting people to great outcomes and great plans.

0:20:02.119 --> 0:20:04.560
<v Speaker 3>An extension of that is whether it then becomes the

0:20:04.640 --> 0:20:08.520
<v Speaker 3>economics kind of change, right, and fees and the incentive

0:20:08.600 --> 0:20:12.680
<v Speaker 3>of somebody using a service or a digital format such

0:20:12.720 --> 0:20:13.200
<v Speaker 3>as yours.

0:20:14.040 --> 0:20:14.200
<v Speaker 2>Well.

0:20:14.320 --> 0:20:17.320
<v Speaker 11>I think look in the early days of where we began,

0:20:17.560 --> 0:20:20.119
<v Speaker 11>our roots were robo advisory, right, and there was a

0:20:20.160 --> 0:20:23.280
<v Speaker 11>lot of sort of dismay in the advisor community, Right,

0:20:23.440 --> 0:20:25.960
<v Speaker 11>is technology going to take over the human interaction? And

0:20:26.320 --> 0:20:28.359
<v Speaker 11>I just think that was very overblown And I would

0:20:28.400 --> 0:20:30.959
<v Speaker 11>say the same about AI, which is not to diminish

0:20:31.000 --> 0:20:32.800
<v Speaker 11>its potential. I think it is going to be a

0:20:33.040 --> 0:20:35.320
<v Speaker 11>huge sort of power tool enhancer.

0:20:35.440 --> 0:20:35.920
<v Speaker 2>If you will.

0:20:36.240 --> 0:20:38.960
<v Speaker 11>But we've been building power tools for both advisors and

0:20:39.080 --> 0:20:41.840
<v Speaker 11>retail investors for the better part of a decade and

0:20:41.880 --> 0:20:44.399
<v Speaker 11>a half, and this just takes that really to the

0:20:44.480 --> 0:20:46.840
<v Speaker 11>next level. That's the way we're thinking about it.

0:20:47.720 --> 0:20:50.680
<v Speaker 3>Okay, so cools Classic sixty forty portfolio. It's just that

0:20:50.800 --> 0:20:53.679
<v Speaker 3>the financial advisor will have more time being freed up

0:20:53.680 --> 0:20:56.960
<v Speaker 3>by AI Betterment CEO Sarah Levy really appreciate you being

0:20:57.000 --> 0:20:58.480
<v Speaker 3>here on Bloomberg Technology.

0:21:06.160 --> 0:21:08.439
<v Speaker 2>Welcome back to Bloomberg Technology. I'm Caroline Hyed.

0:21:08.320 --> 0:21:10.879
<v Speaker 3>In New York and I met love Low in San Francisco.

0:21:11.080 --> 0:21:13.399
<v Speaker 2>Make check on these market said, because actually we have

0:21:13.600 --> 0:21:15.840
<v Speaker 2>SAD now four straight days and gains on the NASAC

0:21:15.880 --> 0:21:16.879
<v Speaker 2>and NASDAQ one hundred.

0:21:17.160 --> 0:21:17.840
<v Speaker 1>We're on a roll.

0:21:17.920 --> 0:21:20.360
<v Speaker 2>We've actually added a trillion dollars in terms of market

0:21:20.440 --> 0:21:24.320
<v Speaker 2>capitalization over those four days. Despite those headwinds of perhaps

0:21:24.359 --> 0:21:26.400
<v Speaker 2>that CPI coming in a little hot on the core

0:21:26.520 --> 0:21:28.959
<v Speaker 2>basis two year yields actually just pushing up a little bit.

0:21:29.080 --> 0:21:31.920
<v Speaker 2>So maybe we're still anticipating what the Fed will do.

0:21:32.040 --> 0:21:34.920
<v Speaker 2>Will they be able to cut as much has been anticipated?

0:21:35.000 --> 0:21:37.600
<v Speaker 2>Many now seeing just twenty five basis point cup coming

0:21:37.640 --> 0:21:39.800
<v Speaker 2>for September I'm looking at Bitcoin just have a quarter

0:21:39.840 --> 0:21:41.840
<v Speaker 2>of percent, so a little bit of risk on there

0:21:41.880 --> 0:21:43.159
<v Speaker 2>as well. Move on and have a look at the

0:21:43.200 --> 0:21:46.600
<v Speaker 2>individual movers. Look a lot of the push forward in

0:21:46.680 --> 0:21:48.760
<v Speaker 2>the Nasdaq is thanks to Nvidia and some of the

0:21:48.840 --> 0:21:51.040
<v Speaker 2>chip names. I think Broadcom is one of the biggest

0:21:51.600 --> 0:21:55.040
<v Speaker 2>names for points contributing today. Warner Brothers Discovery doing well

0:21:55.160 --> 0:21:57.640
<v Speaker 2>up almost two percent. Child Communications, yes, they will still

0:21:57.880 --> 0:22:01.720
<v Speaker 2>have that distribution deal. Both arising. We're looking at MasterCard

0:22:01.720 --> 0:22:04.000
<v Speaker 2>off by six tens percent, but big deal. More than

0:22:04.040 --> 0:22:07.639
<v Speaker 2>two billion dollars being spent in cybersecurity for this particular company,

0:22:07.800 --> 0:22:09.960
<v Speaker 2>So they're doing a deal. They're focusing on your data.

0:22:10.160 --> 0:22:11.800
<v Speaker 2>But of course when they splash the cash, maybe the

0:22:11.920 --> 0:22:14.480
<v Speaker 2>chairs come under pressure a little bit. Maderna though your

0:22:14.640 --> 0:22:18.720
<v Speaker 2>key underperformer. I'm talking tech pot biotech here, and really

0:22:18.960 --> 0:22:21.240
<v Speaker 2>a lack of clarity coming in future revenue from this

0:22:21.320 --> 0:22:24.200
<v Speaker 2>business that doesn't seem to be amazing analysts. They feel

0:22:24.200 --> 0:22:26.399
<v Speaker 2>that there's a lack of clarity in general on this business.

0:22:26.640 --> 0:22:28.560
<v Speaker 2>But we are seeing revenue and the revenue guide being

0:22:28.600 --> 0:22:29.040
<v Speaker 2>pulled down.

0:22:29.280 --> 0:22:32.280
<v Speaker 3>And what do you got an opportunity to get clarity

0:22:32.480 --> 0:22:35.400
<v Speaker 3>on another business as the Goldman Sachs Tech Conference comes

0:22:35.400 --> 0:22:38.159
<v Speaker 3>to a close in San Francisco. We're thinking about how

0:22:38.280 --> 0:22:42.920
<v Speaker 3>fintech is revolutionizing the financial sector. But we're also joined

0:22:42.960 --> 0:22:45.199
<v Speaker 3>by one of the main players in global e commerce,

0:22:45.280 --> 0:22:49.400
<v Speaker 3>Macado Libre. It's CFO Martin de Los Angeles joins us. Now,

0:22:49.760 --> 0:22:52.760
<v Speaker 3>welcome to Bloomberg in San Francisco. I think about your

0:22:52.840 --> 0:22:56.919
<v Speaker 3>business in this way that e commerce, but fifty percent

0:22:57.040 --> 0:22:59.840
<v Speaker 3>of it is now essentially fintech. You've met with the

0:23:00.040 --> 0:23:04.200
<v Speaker 3>anchors and your investors and the other members of the

0:23:04.280 --> 0:23:07.360
<v Speaker 3>technology community in the last few days. What business outlook

0:23:07.400 --> 0:23:09.960
<v Speaker 3>and update did you give them? Thank you ed for

0:23:10.080 --> 0:23:11.320
<v Speaker 3>having me. It's a pleasure of being here.

0:23:12.320 --> 0:23:15.399
<v Speaker 12>We are celebrating the twenty fifth anniversary of our company

0:23:15.640 --> 0:23:17.920
<v Speaker 12>this quarter, and over the past twenty five years, we

0:23:18.000 --> 0:23:21.720
<v Speaker 12>have built the largest e commerce platform and fintech platform

0:23:21.720 --> 0:23:22.560
<v Speaker 12>in Latin America.

0:23:23.280 --> 0:23:24.679
<v Speaker 3>We recently became the largest the.

0:23:24.720 --> 0:23:27.399
<v Speaker 12>Most valuable company in that of market CUP in Latin

0:23:27.920 --> 0:23:30.480
<v Speaker 12>So we're very excited about the growth and the opportunities

0:23:30.520 --> 0:23:30.760
<v Speaker 12>that we.

0:23:30.840 --> 0:23:31.440
<v Speaker 3>Are facing on.

0:23:31.680 --> 0:23:34.240
<v Speaker 12>The change that we're making in our society is on

0:23:34.320 --> 0:23:36.640
<v Speaker 12>the commerce side of the business. We hope with last

0:23:36.720 --> 0:23:40.280
<v Speaker 12>year we had more than ninety million buyers purchasing one

0:23:40.320 --> 0:23:43.600
<v Speaker 12>point five billion products in our platform for more than

0:23:43.680 --> 0:23:47.520
<v Speaker 12>fifty billion dollars and growing very rapidly. This is one

0:23:47.520 --> 0:23:49.680
<v Speaker 12>of the things that the investor community was very surprised

0:23:49.680 --> 0:23:53.920
<v Speaker 12>of our QUE two results. We build a very large

0:23:54.000 --> 0:23:57.640
<v Speaker 12>logistic infrastructure that enabled us to deliver seventy five percent

0:23:57.680 --> 0:24:00.119
<v Speaker 12>of the products within four day, within two days in

0:24:00.200 --> 0:24:00.840
<v Speaker 12>Latin America.

0:24:01.200 --> 0:24:03.760
<v Speaker 3>That would be something and dream of in Latin America

0:24:03.840 --> 0:24:05.000
<v Speaker 3>ten years ago before.

0:24:05.040 --> 0:24:08.520
<v Speaker 12>We build a logistic infrastructure on the fintech side of

0:24:08.560 --> 0:24:11.359
<v Speaker 12>the business with process payments for over one hundred and

0:24:11.440 --> 0:24:15.639
<v Speaker 12>seventy billion dollars, serving fifty two million active users in

0:24:15.760 --> 0:24:20.880
<v Speaker 12>our fintech solution Mercallo Power platform, and we're serving mostly

0:24:21.880 --> 0:24:24.920
<v Speaker 12>people who had been excluded from the financial system, you know,

0:24:24.960 --> 0:24:28.400
<v Speaker 12>individuals or SMBs who had never had access to credit

0:24:28.520 --> 0:24:30.880
<v Speaker 12>or financial products. So we're doing a lot of financial

0:24:30.920 --> 0:24:33.399
<v Speaker 12>inclusion in Latin America. So I'm very excited about the

0:24:33.440 --> 0:24:36.080
<v Speaker 12>past twenty five years, but we have plenty of row

0:24:36.280 --> 0:24:39.040
<v Speaker 12>opportunities going forward for the next twenty five years.

0:24:39.560 --> 0:24:39.840
<v Speaker 1>Martin.

0:24:39.880 --> 0:24:43.240
<v Speaker 2>We're looking at your shares at a record high. What

0:24:43.400 --> 0:24:47.879
<v Speaker 2>about competition. You've seen the fintech the unbanked opportunity, but

0:24:48.040 --> 0:24:50.440
<v Speaker 2>so have a lot of others. How you as you

0:24:50.560 --> 0:24:53.480
<v Speaker 2>search for a go for a banking license, thinking about

0:24:53.520 --> 0:24:54.960
<v Speaker 2>others wanting in on the space.

0:24:56.320 --> 0:24:59.360
<v Speaker 12>Yes, Carol, and we see a tremendous opportunity on fintech

0:24:59.480 --> 0:25:02.040
<v Speaker 12>in particular because of the banks have done a really

0:25:02.119 --> 0:25:06.760
<v Speaker 12>poor job in Latin America, including people in the system.

0:25:06.880 --> 0:25:07.520
<v Speaker 3>If you look at.

0:25:07.440 --> 0:25:09.600
<v Speaker 12>Mexico, for instance, where we're very active. We are the

0:25:09.760 --> 0:25:12.240
<v Speaker 12>largest fintech in Mexico in terms of a number of

0:25:12.359 --> 0:25:15.480
<v Speaker 12>users and a credit book. For instance, this is a

0:25:15.560 --> 0:25:18.600
<v Speaker 12>country where fifty percent of the people don't have doesn't

0:25:18.640 --> 0:25:23.359
<v Speaker 12>have a banking account, less than twenty percent of people

0:25:23.400 --> 0:25:24.240
<v Speaker 12>have a credit count.

0:25:24.440 --> 0:25:26.680
<v Speaker 1>So there's plenty of room for us to grow.

0:25:27.119 --> 0:25:30.160
<v Speaker 3>And of course in Mexico, it's not just the bank account.

0:25:30.160 --> 0:25:34.159
<v Speaker 3>I'm thinking about deposits and loans, other financial products. Are

0:25:34.200 --> 0:25:36.000
<v Speaker 3>you having success in Mexico exactly.

0:25:36.720 --> 0:25:39.280
<v Speaker 12>Our credit book is rowing fifty one percent year on year.

0:25:39.680 --> 0:25:42.040
<v Speaker 12>We have a one point five billion dollar book in Mexico,

0:25:42.040 --> 0:25:44.240
<v Speaker 12>which is the largest for any fintech in the country.

0:25:45.880 --> 0:25:47.960
<v Speaker 12>Our users on the fintech side of the business are

0:25:48.040 --> 0:25:50.760
<v Speaker 12>rowing at thirty seven percent year on year from a

0:25:50.880 --> 0:25:54.480
<v Speaker 12>very large base. So Mexico is wide open really, so

0:25:54.840 --> 0:25:57.040
<v Speaker 12>there are players who are also going to that market,

0:25:57.119 --> 0:26:00.440
<v Speaker 12>and we think there would be a lot of financial inclusion.

0:26:00.680 --> 0:26:02.719
<v Speaker 1>That would be space for several other players.

0:26:02.920 --> 0:26:06.680
<v Speaker 12>Nike commerce where winner takes most in fintech, there is

0:26:06.800 --> 0:26:10.359
<v Speaker 12>room for several players to be very innovative, to actually create,

0:26:10.480 --> 0:26:12.359
<v Speaker 12>you know, change the lots of people, you know, by

0:26:12.400 --> 0:26:13.440
<v Speaker 12>including them financially.

0:26:13.760 --> 0:26:16.480
<v Speaker 2>Let's go back to the winner takes most in a commerce.

0:26:17.359 --> 0:26:20.960
<v Speaker 2>You've got some Chinese competition. In fact, Mark Cello Clare

0:26:21.119 --> 0:26:24.440
<v Speaker 2>himself is helping chin for example. How are you seeing

0:26:24.520 --> 0:26:26.320
<v Speaker 2>the Chinese competition in in commerce?

0:26:27.280 --> 0:26:29.920
<v Speaker 12>Yeah, we've seen the know, we operated for twenty five

0:26:30.000 --> 0:26:32.640
<v Speaker 12>years in the region with a lot of competition. Initially

0:26:32.680 --> 0:26:34.399
<v Speaker 12>the world platform similar to Marcal.

0:26:34.160 --> 0:26:35.240
<v Speaker 1>Oliria that we competed with.

0:26:35.920 --> 0:26:39.280
<v Speaker 12>Then we be obviously with all the local retailers. More

0:26:39.320 --> 0:26:44.159
<v Speaker 12>recently with you know the Americans Amazon and Walmart, and

0:26:44.359 --> 0:26:45.520
<v Speaker 12>more recently we have seen a lot.

0:26:45.480 --> 0:26:50.360
<v Speaker 3>Of competitions from the Chinese. So the way we face competition.

0:26:50.080 --> 0:26:54.520
<v Speaker 12>Is we base that we compete basing basing on our strength,

0:26:54.840 --> 0:26:57.040
<v Speaker 12>which is the logistic infrastructure, that we have in Latin

0:26:57.080 --> 0:27:00.320
<v Speaker 12>America that enables us to provide a world class service

0:27:00.359 --> 0:27:02.880
<v Speaker 12>to our users. And then the fintech and the payments,

0:27:03.119 --> 0:27:05.680
<v Speaker 12>the solutions that we have built in a region where

0:27:05.800 --> 0:27:08.600
<v Speaker 12>most people don't have a credit card, having our own

0:27:08.680 --> 0:27:12.200
<v Speaker 12>payment solutions is a really big competitive advantage. In case

0:27:12.240 --> 0:27:15.040
<v Speaker 12>of Mexico, twenty five percent of the payments that are

0:27:15.040 --> 0:27:17.320
<v Speaker 12>done on our platform are done with our own payment

0:27:17.400 --> 0:27:19.760
<v Speaker 12>methods to our own credits, our credit cards and so on.

0:27:20.000 --> 0:27:21.680
<v Speaker 3>But I think before we run out of time, we

0:27:21.720 --> 0:27:24.080
<v Speaker 3>should talk about Argentina. A lot of people are trying

0:27:24.119 --> 0:27:27.160
<v Speaker 3>to make a conclusion of the economic policy of MELA.

0:27:27.640 --> 0:27:29.520
<v Speaker 3>How do you view that market? What are you going

0:27:29.600 --> 0:27:30.520
<v Speaker 3>to do in Argentina.

0:27:30.800 --> 0:27:32.840
<v Speaker 12>Yeah, Argentina is a market glob We have a very

0:27:32.880 --> 0:27:35.800
<v Speaker 12>solid position. We actually started the company back back in

0:27:35.840 --> 0:27:39.240
<v Speaker 12>the days in Argentina. We had a tough first quarter,

0:27:39.440 --> 0:27:42.600
<v Speaker 12>but we're regain growth in the second quarter, so we

0:27:42.680 --> 0:27:45.680
<v Speaker 12>see a lot of opportunities there. We're investing in Argentina.

0:27:45.760 --> 0:27:48.600
<v Speaker 12>We opened our new full fillment center there. After five years,

0:27:48.680 --> 0:27:52.200
<v Speaker 12>we're reinvested in Argentina and we see a lot of

0:27:52.440 --> 0:27:53.800
<v Speaker 12>good prospects for the country.

0:27:54.320 --> 0:27:57.400
<v Speaker 3>So the good thing about our business is that we've

0:27:57.440 --> 0:27:57.720
<v Speaker 3>seen it.

0:27:57.720 --> 0:27:59.680
<v Speaker 12>All in Latin America over the past twenty five years,

0:28:00.240 --> 0:28:04.240
<v Speaker 12>and the secular trend of people moving online. You know,

0:28:04.720 --> 0:28:06.920
<v Speaker 12>fifteen percent of the retail is done online in Latin

0:28:06.960 --> 0:28:10.040
<v Speaker 12>America compared to twenty high twenties in the US high

0:28:10.119 --> 0:28:12.760
<v Speaker 12>thirties in China. So it's plenty of room to continue

0:28:12.800 --> 0:28:16.680
<v Speaker 12>growing the e commerce market, and we are the leading

0:28:16.760 --> 0:28:18.600
<v Speaker 12>player in e commerce, so we have we play a

0:28:18.680 --> 0:28:21.560
<v Speaker 12>very important role in that transition. And the fintex side,

0:28:21.720 --> 0:28:24.920
<v Speaker 12>there's plenty of continue growing. So as we say in bergalalibree,

0:28:25.320 --> 0:28:26.280
<v Speaker 12>the best is yet to come.

0:28:26.359 --> 0:28:28.320
<v Speaker 1>We have a very good prospect for the future.

0:28:28.600 --> 0:28:31.639
<v Speaker 3>Beclor libre ce Fo Martin de la Santos, Thank you

0:28:31.720 --> 0:28:32.600
<v Speaker 3>so much, Caroline.

0:28:33.320 --> 0:28:35.880
<v Speaker 2>Let's get to some talking tech now. First up, China

0:28:35.920 --> 0:28:39.080
<v Speaker 2>wants to keep its EV tech to itself. According to sources,

0:28:39.160 --> 0:28:42.320
<v Speaker 2>Beijing has asked carmakers to keep its EV export kits

0:28:42.560 --> 0:28:45.240
<v Speaker 2>from foreign plants, meaning key parts of the vehicle would

0:28:45.520 --> 0:28:48.840
<v Speaker 2>need to be produced domestically now and the move comes

0:28:48.880 --> 0:28:52.080
<v Speaker 2>as more companies build out factories in other territories. Plus

0:28:52.120 --> 0:28:54.760
<v Speaker 2>two of China's most prominent AI chip designers are looking

0:28:54.840 --> 0:28:57.640
<v Speaker 2>to an IPO, calling into sources. Shanghai end Flame and

0:28:57.920 --> 0:29:01.160
<v Speaker 2>rival Shanghai Barn are planning and IPO as soon as

0:29:01.240 --> 0:29:03.960
<v Speaker 2>this year. The move comes as China looks to sure

0:29:04.040 --> 0:29:08.720
<v Speaker 2>up at semiconductor industry to combat US led sanctions and vans.

0:29:08.920 --> 0:29:12.560
<v Speaker 3>Ed a little bit more to come in the show.

0:29:12.560 --> 0:29:15.080
<v Speaker 3>We're going to be joined by Anderill founder Palmer Lucky

0:29:15.160 --> 0:29:18.640
<v Speaker 3>for an exclusive interview on the company's latest set of

0:29:18.760 --> 0:29:22.320
<v Speaker 3>autonomous defense vehicles and CARO. We actually have even more

0:29:22.360 --> 0:29:23.800
<v Speaker 3>breaking news coming up as well.

0:29:24.160 --> 0:29:29.320
<v Speaker 2>We do a new COO over at Microsoft, Slatya Nadella

0:29:29.400 --> 0:29:32.360
<v Speaker 2>saying this is building on capabilities essential in AI and

0:29:32.480 --> 0:29:36.880
<v Speaker 2>operational at Excellence. Carolina Dibeck Habit is joining Microsoft as

0:29:36.920 --> 0:29:40.760
<v Speaker 2>EVP and COO. It's a newly created role, which can

0:29:40.800 --> 0:29:43.760
<v Speaker 2>we be joining the senior leadership team reporting to Satya.

0:29:44.760 --> 0:29:46.960
<v Speaker 2>Still not moving the share price. This is Bluemberg Technology.

0:30:02.120 --> 0:30:04.520
<v Speaker 3>Fuse Energy is raised thirty two million dollars in a

0:30:04.560 --> 0:30:08.320
<v Speaker 3>new funding round, valuing the nuclear fusion testing startup above

0:30:08.360 --> 0:30:11.680
<v Speaker 3>two hundred million dollars. Right now, Industry experts say producing

0:30:11.760 --> 0:30:16.600
<v Speaker 3>commercially viable fusion will require another decade or two of work,

0:30:16.840 --> 0:30:19.400
<v Speaker 3>giving Fuse plenty of runway for customers to test their

0:30:19.440 --> 0:30:22.720
<v Speaker 3>new technology. Bloom Box Lazette Chapman has the story, You

0:30:22.760 --> 0:30:24.560
<v Speaker 3>and I know loads of people in the valley who

0:30:24.600 --> 0:30:27.160
<v Speaker 3>have been talking about fusion for a while, and this

0:30:27.400 --> 0:30:31.040
<v Speaker 3>is like a sort of tangible startup and part of

0:30:31.080 --> 0:30:33.120
<v Speaker 3>the process. But my goodness, it sounds like we're still

0:30:33.120 --> 0:30:35.200
<v Speaker 3>a long way off it being mainstream.

0:30:36.360 --> 0:30:39.960
<v Speaker 13>The technology will take a decade or two at least

0:30:40.080 --> 0:30:43.760
<v Speaker 13>to create commercially viable source of energy. Like you said,

0:30:44.280 --> 0:30:47.280
<v Speaker 13>this company is looking to make money along the way

0:30:47.600 --> 0:30:51.800
<v Speaker 13>by providing radiation as a service to not only the

0:30:52.600 --> 0:30:55.640
<v Speaker 13>private startups that are looking to do this. As we've discussed,

0:30:55.640 --> 0:30:57.440
<v Speaker 13>there's a lot of money and a lot of interests

0:30:57.440 --> 0:31:01.240
<v Speaker 13>being commercializing this, but more importantly to provide revenue and

0:31:02.320 --> 0:31:07.800
<v Speaker 13>testing results immediately by providing radiation as a service to

0:31:08.120 --> 0:31:12.280
<v Speaker 13>harden nuclear weapons testing and then also use that data

0:31:12.320 --> 0:31:15.000
<v Speaker 13>to build their own fusion generator.

0:31:15.600 --> 0:31:20.280
<v Speaker 2>Pulsed power machines is what they're building. Who wants to

0:31:20.400 --> 0:31:23.360
<v Speaker 2>take the financial risk to back this, Who is interested

0:31:23.720 --> 0:31:24.960
<v Speaker 2>in full string? Who is in the round?

0:31:26.160 --> 0:31:31.440
<v Speaker 13>Right, So there are a number of investors. There's Buckley

0:31:31.520 --> 0:31:36.000
<v Speaker 13>Ventures Josh Buckley, there's Tamarek as well as the Chainsmokers,

0:31:36.560 --> 0:31:39.840
<v Speaker 13>the musical group, their their venture capital firm, along with

0:31:39.920 --> 0:31:41.160
<v Speaker 13>former d D and.

0:31:43.480 --> 0:31:45.600
<v Speaker 2>Officials and also.

0:31:45.520 --> 0:31:48.840
<v Speaker 13>Someone from Lucky Martin, the former chief executive of Asia.

0:31:49.880 --> 0:31:54.440
<v Speaker 13>So they'll be looking to use this technology in incremental ways,

0:31:55.000 --> 0:31:59.680
<v Speaker 13>looking to rent their machines, UH to just blast different

0:31:59.720 --> 0:32:05.840
<v Speaker 13>mis machines like cider pilots, etc. To see what the

0:32:05.960 --> 0:32:11.640
<v Speaker 13>effects of a nuclear explosion would be on planes and

0:32:11.920 --> 0:32:12.920
<v Speaker 13>other materials that.

0:32:14.680 --> 0:32:17.800
<v Speaker 2>US would need. And time of war is that Chapman,

0:32:18.200 --> 0:32:22.040
<v Speaker 2>we appreciate it. And talking of time of war, Andreil

0:32:22.360 --> 0:32:26.320
<v Speaker 2>has just unveiled the Barracuda family of autonomous air vehicles,

0:32:26.800 --> 0:32:29.800
<v Speaker 2>revealing its offering of a course to the Defense Department

0:32:29.880 --> 0:32:34.440
<v Speaker 2>program aimed at mass producing aerial vehicles were cheaply, Andreill

0:32:34.480 --> 0:32:38.040
<v Speaker 2>founder Harma Lucky joins us now and the philosophy here,

0:32:38.280 --> 0:32:41.520
<v Speaker 2>Parma is just making it ever more easy, fewer parts

0:32:41.960 --> 0:32:43.200
<v Speaker 2>and making it quicker to make.

0:32:44.480 --> 0:32:44.640
<v Speaker 13>Well.

0:32:44.680 --> 0:32:46.720
<v Speaker 6>You know, I think that having fewer parts easier to

0:32:46.800 --> 0:32:48.560
<v Speaker 6>make that's downstream of the real goal, which is to

0:32:48.640 --> 0:32:50.680
<v Speaker 6>make sure that the United States are allies and our

0:32:50.720 --> 0:32:52.440
<v Speaker 6>partners around the world have the tools that we need

0:32:52.720 --> 0:32:56.360
<v Speaker 6>to deter expansionist dictatorships like China. Right now in a

0:32:56.400 --> 0:32:58.600
<v Speaker 6>lot of war games we are modeling, the United States

0:32:58.640 --> 0:33:01.280
<v Speaker 6>is running out of critical munitions, particularly missiles, in just

0:33:01.360 --> 0:33:03.600
<v Speaker 6>a few days of conflict. And all for years has

0:33:03.600 --> 0:33:06.200
<v Speaker 6>been working to build a family of systems that solves this.

0:33:06.320 --> 0:33:08.239
<v Speaker 6>And we just announced that family of systems today. It's

0:33:08.240 --> 0:33:11.680
<v Speaker 6>called Barracuda. It's made with half the parts, in half

0:33:11.760 --> 0:33:15.520
<v Speaker 6>the time, using ninety five percent less tools than a

0:33:15.560 --> 0:33:17.160
<v Speaker 6>lot of the existing missile systems.

0:33:16.880 --> 0:33:17.280
<v Speaker 1>On the market.

0:33:17.360 --> 0:33:20.000
<v Speaker 6>It is a mass manufacturer product that is designed to

0:33:20.040 --> 0:33:23.120
<v Speaker 6>be made at scale, many thousands of systems at a time.

0:33:24.000 --> 0:33:25.760
<v Speaker 6>Because that's what the United States need, that's what our

0:33:25.760 --> 0:33:27.280
<v Speaker 6>allies need, It's what our partners need.

0:33:27.760 --> 0:33:31.120
<v Speaker 2>Talking of partners and allies, drone AI over in Ukraine

0:33:31.160 --> 0:33:35.280
<v Speaker 2>at the moment, your supplying drones, we understand piloted by AI.

0:33:35.440 --> 0:33:37.320
<v Speaker 2>But how much is it AI? How much is it

0:33:37.520 --> 0:33:40.040
<v Speaker 2>the human? How much autonomy do they have about targets?

0:33:41.040 --> 0:33:43.320
<v Speaker 6>Well, in our case, it's all about AI. Our core

0:33:43.440 --> 0:33:46.760
<v Speaker 6>product is called Lattice. Interol Industries has been working on

0:33:46.840 --> 0:33:49.680
<v Speaker 6>AI powered weapons for about seven years now, and the

0:33:49.840 --> 0:33:53.160
<v Speaker 6>core software is Lattice, this brain that powers all of

0:33:53.200 --> 0:33:58.160
<v Speaker 6>our different systems, including Barracuda, including alts, including Ghost which.

0:33:58.040 --> 0:34:00.400
<v Speaker 1>Are in Ukraine and have been since this a week

0:34:00.440 --> 0:34:00.720
<v Speaker 1>of the war.

0:34:00.800 --> 0:34:03.480
<v Speaker 6>We've destroyed hundreds of millions of dollars in critical Russian

0:34:03.560 --> 0:34:06.480
<v Speaker 6>hardware that can't really be destroyed by things that require

0:34:06.760 --> 0:34:09.240
<v Speaker 6>a real time link to a person, because the Russians

0:34:09.280 --> 0:34:13.239
<v Speaker 6>are quite good at jamming communications links when it comes

0:34:13.280 --> 0:34:14.359
<v Speaker 6>to things that are important to them.

0:34:14.400 --> 0:34:16.640
<v Speaker 1>They don't have enough of these jammers to hit the

0:34:16.840 --> 0:34:17.600
<v Speaker 1>entire battlefield.

0:34:17.840 --> 0:34:19.880
<v Speaker 6>But that's why it's so important that we keep taking

0:34:19.960 --> 0:34:23.279
<v Speaker 6>those things out and eventually hopefully leave them help us

0:34:23.320 --> 0:34:24.280
<v Speaker 6>to these types of systems.

0:34:25.360 --> 0:34:28.080
<v Speaker 3>Palmerate, it's great to have you back on Bloomberg technology.

0:34:28.160 --> 0:34:30.480
<v Speaker 3>You know, in the context of Ukraine, I'm kind of

0:34:30.520 --> 0:34:32.920
<v Speaker 3>thinking about the existing work and then you know what

0:34:33.400 --> 0:34:35.920
<v Speaker 3>we're hearing from Ukraine at the moment, which is they

0:34:36.040 --> 0:34:39.160
<v Speaker 3>kind of want to push deeper or strike deeper into Russia.

0:34:39.840 --> 0:34:43.200
<v Speaker 3>Does Andrew have any technology where you would work with

0:34:43.719 --> 0:34:46.280
<v Speaker 3>Ukraine on that goal or be a part of that process.

0:34:48.040 --> 0:34:51.080
<v Speaker 6>Absolutely, with the caveat that these decisions are not up

0:34:51.120 --> 0:34:52.439
<v Speaker 6>to us, It's up to the United States.

0:34:52.480 --> 0:34:52.840
<v Speaker 1>Government.

0:34:52.960 --> 0:34:55.640
<v Speaker 6>They decide understand who we sell to, how we sell

0:34:55.719 --> 0:34:58.640
<v Speaker 6>to them, and to a large extent, what they do

0:34:58.840 --> 0:35:01.760
<v Speaker 6>with these weapons systems. And I don't think that AROL

0:35:01.880 --> 0:35:05.120
<v Speaker 6>or any private defense company, any private company period should

0:35:05.160 --> 0:35:07.320
<v Speaker 6>be in a position where we're de facto controlling the

0:35:07.440 --> 0:35:10.680
<v Speaker 6>United States foreign policy position by saying, oh, we would

0:35:10.719 --> 0:35:12.920
<v Speaker 6>help with this, we would help with that. I think

0:35:13.000 --> 0:35:15.399
<v Speaker 6>that we need to put that decision with the people

0:35:15.440 --> 0:35:17.000
<v Speaker 6>who are supposed to be making that decision, which are

0:35:17.160 --> 0:35:19.600
<v Speaker 6>people who are accountable to the electorate. In other words,

0:35:19.719 --> 0:35:21.880
<v Speaker 6>you should not trust me, You should not have to

0:35:21.960 --> 0:35:24.319
<v Speaker 6>trust me. You should trust somebody that you can vote

0:35:24.360 --> 0:35:25.800
<v Speaker 6>for and then vote accordingly.

0:35:26.960 --> 0:35:30.120
<v Speaker 3>We're showing images of the barracuted system. And at the

0:35:30.160 --> 0:35:32.440
<v Speaker 3>top of the program you talked about allies, and so

0:35:32.520 --> 0:35:36.600
<v Speaker 3>when I think about scalability, is that because you want

0:35:36.680 --> 0:35:39.920
<v Speaker 3>to be in service of any specific allies beyond the

0:35:40.000 --> 0:35:41.840
<v Speaker 3>US government. What is the sort of benefit of the

0:35:41.880 --> 0:35:43.760
<v Speaker 3>scalability of the design.

0:35:45.000 --> 0:35:47.000
<v Speaker 6>Well, this gets into a little bit of the philosophy

0:35:47.080 --> 0:35:48.799
<v Speaker 6>of it. But I'll tell you how I think about things.

0:35:49.000 --> 0:35:51.239
<v Speaker 6>I don't think the United States needs to be the

0:35:51.280 --> 0:35:52.879
<v Speaker 6>world police. I think we need to be the World

0:35:53.000 --> 0:35:55.319
<v Speaker 6>gun Store. We need to be able to provide our

0:35:55.360 --> 0:35:57.680
<v Speaker 6>allies and our partners around the world with the tools

0:35:57.719 --> 0:36:00.160
<v Speaker 6>that they need to turn themselves into prickly porcupines that

0:36:00.280 --> 0:36:03.600
<v Speaker 6>nobody wants to step on. And I think that sending

0:36:03.640 --> 0:36:07.360
<v Speaker 6>American lives overseas boots on the ground is not going

0:36:07.440 --> 0:36:10.319
<v Speaker 6>to be the future of how we support support our

0:36:10.320 --> 0:36:12.080
<v Speaker 6>friends around the world. I think it's going to be

0:36:12.280 --> 0:36:14.200
<v Speaker 6>making sure that we can make things at a scale

0:36:14.520 --> 0:36:16.480
<v Speaker 6>where they believe that our support for them is more

0:36:16.560 --> 0:36:18.760
<v Speaker 6>than just words. We can actually send them the things

0:36:19.000 --> 0:36:20.600
<v Speaker 6>that we say that we're willing to send them. I

0:36:20.640 --> 0:36:23.640
<v Speaker 6>think Ukraine has really exposed this weakness in the United

0:36:23.680 --> 0:36:26.719
<v Speaker 6>States foreign policy strategy where we say we support all

0:36:26.760 --> 0:36:28.360
<v Speaker 6>of these people, but they look to say, well, they

0:36:28.400 --> 0:36:33.320
<v Speaker 6>can't even manufacture the basics like artillery shells or small missiles.

0:36:33.600 --> 0:36:35.360
<v Speaker 6>How could I possibly count on these people to be

0:36:35.400 --> 0:36:37.640
<v Speaker 6>able to cash these checks if they're writing And I

0:36:37.680 --> 0:36:40.160
<v Speaker 6>think that Barracuda is a response to that.

0:36:40.360 --> 0:36:40.680
<v Speaker 1>Largely.

0:36:41.000 --> 0:36:43.880
<v Speaker 6>It's something that was designed from the beginning for low cost,

0:36:44.120 --> 0:36:48.440
<v Speaker 6>high rate manufacturability, and it's a flying operational system right

0:36:48.480 --> 0:36:52.400
<v Speaker 6>now with multiple customers. I think that partners are going

0:36:52.440 --> 0:36:54.440
<v Speaker 6>to be able to trust that Barracuda is something that

0:36:54.520 --> 0:36:56.920
<v Speaker 6>we could actually make for them and deliver to them

0:36:57.000 --> 0:36:59.319
<v Speaker 6>when they need it, not just now, but also if

0:36:59.360 --> 0:37:01.080
<v Speaker 6>a conflict to erupt and.

0:37:01.160 --> 0:37:04.480
<v Speaker 2>You're delivering by manufacturing ever more in the United States

0:37:04.560 --> 0:37:08.520
<v Speaker 2>and with money doing cash and checks. You've just recently

0:37:08.600 --> 0:37:11.200
<v Speaker 2>got a whopping valuation of fourteen billion dollars by raising

0:37:11.239 --> 0:37:14.160
<v Speaker 2>more money to build in the US as the Arsenal

0:37:14.239 --> 0:37:17.080
<v Speaker 2>one and other manufacturing units. Can you update us as

0:37:17.120 --> 0:37:19.800
<v Speaker 2>to where they might be the sprawling manufacturing areas.

0:37:20.600 --> 0:37:23.040
<v Speaker 1>We just closed a huge round with our investors.

0:37:23.080 --> 0:37:25.040
<v Speaker 6>It was all of our previous investors coming in and

0:37:25.080 --> 0:37:27.320
<v Speaker 6>a whole bunch of new strategic investors who want to

0:37:27.360 --> 0:37:29.960
<v Speaker 6>help us build a lot of things, but particularly Arsenal one,

0:37:30.000 --> 0:37:32.319
<v Speaker 6>which is a five million square foot factory that we're

0:37:32.360 --> 0:37:35.400
<v Speaker 6>building that is going to create thousands of jobs and

0:37:35.680 --> 0:37:40.279
<v Speaker 6>build vast numbers of AI powered autonomous weapons systems. And

0:37:40.560 --> 0:37:43.919
<v Speaker 6>it's not just Barracuda, it's actually the entire product suite

0:37:44.000 --> 0:37:46.720
<v Speaker 6>of things that ANDROL makes. It's all of our missiles,

0:37:46.760 --> 0:37:48.960
<v Speaker 6>it's all of our drones, it's our submarines, it's a

0:37:49.000 --> 0:37:51.920
<v Speaker 6>reconfigurable factory line that is able to share a lot

0:37:51.920 --> 0:37:54.759
<v Speaker 6>of the equipment and tooling between these programs, which gets

0:37:54.800 --> 0:37:57.200
<v Speaker 6>the costs down and it gets the rates up and

0:37:57.360 --> 0:37:58.279
<v Speaker 6>the benefits flow on.

0:37:58.360 --> 0:37:59.080
<v Speaker 1>To our customers.

0:38:00.520 --> 0:38:04.000
<v Speaker 3>Palma is Anderil's selling air defense systems to Israel.

0:38:05.719 --> 0:38:08.280
<v Speaker 6>Well, look, I think I can't comment on any specific

0:38:08.360 --> 0:38:10.560
<v Speaker 6>deployments about especially about something is sensitive to that, but

0:38:10.600 --> 0:38:12.720
<v Speaker 6>I'll tell you this, I have no problem with Israel.

0:38:12.920 --> 0:38:15.160
<v Speaker 6>I have no problem selling things like that to Israel.

0:38:15.320 --> 0:38:17.319
<v Speaker 6>But a better target for your.

0:38:17.320 --> 0:38:18.920
<v Speaker 1>Question would be the United States government.

0:38:19.920 --> 0:38:21.920
<v Speaker 3>And I have to ask you. You mentioned China at

0:38:21.920 --> 0:38:26.040
<v Speaker 3>the top of the conversation. Has Anderil a commercial relationship

0:38:26.120 --> 0:38:26.680
<v Speaker 3>with Taiwan.

0:38:28.200 --> 0:38:30.560
<v Speaker 6>Oh, we have a very strong relationship with Taiwan. I've

0:38:30.600 --> 0:38:33.040
<v Speaker 6>I've been there many times. In fact, I'm going there

0:38:33.040 --> 0:38:36.080
<v Speaker 6>again soon. And I think that you know that strong

0:38:36.160 --> 0:38:39.080
<v Speaker 6>relationship is actually one of the reasons that ANDROL was

0:38:39.120 --> 0:38:42.239
<v Speaker 6>recently sanctioned by the Chinese Communist Party. They announced that

0:38:42.560 --> 0:38:44.520
<v Speaker 6>we are that they're going to seize all our Chinese

0:38:44.560 --> 0:38:46.920
<v Speaker 6>assets and that we're prohibited from entering the country.

0:38:47.320 --> 0:38:49.160
<v Speaker 1>Jokes on them. We don't have any Chinese assets.

0:38:50.080 --> 0:38:52.960
<v Speaker 6>But it was in the wake of a recent deal

0:38:53.040 --> 0:38:56.920
<v Speaker 6>that we did with Taiwan, getting them some systems that

0:38:57.000 --> 0:38:59.600
<v Speaker 6>I think China, frankly, is really afraid of. They know

0:38:59.719 --> 0:39:01.759
<v Speaker 6>that our systems are the real deal, and they know

0:39:01.840 --> 0:39:03.719
<v Speaker 6>they can't jam them, they know they can't hack them,

0:39:03.880 --> 0:39:05.799
<v Speaker 6>and that's because they're powered by AI.

0:39:06.719 --> 0:39:08.839
<v Speaker 3>Ander or founder parme Lucky. It's been a while. It's

0:39:08.880 --> 0:39:10.960
<v Speaker 3>great to have you back here on Bloomberg Technology. Thank

0:39:11.000 --> 0:39:11.560
<v Speaker 3>you very much.

0:39:19.400 --> 0:39:22.680
<v Speaker 2>Sixty seven million viewers tuned into the presidential debate between

0:39:22.840 --> 0:39:25.800
<v Speaker 2>Vice President Kamala Harris and former President Donald Trump. And

0:39:25.840 --> 0:39:29.279
<v Speaker 2>that's only on TV. It's, acording to Nielsen data, blow

0:39:29.680 --> 0:39:32.040
<v Speaker 2>well past the fifty one million who watched the Republican

0:39:32.080 --> 0:39:35.320
<v Speaker 2>nominee take on President Joe Biden. Back in June. Trump

0:39:35.360 --> 0:39:37.760
<v Speaker 2>said he is not inclined to have another debate with Harris,

0:39:38.160 --> 0:39:42.040
<v Speaker 2>though he later added he hadn't completely ruled out another matchup.

0:39:42.120 --> 0:39:43.400
<v Speaker 2>I streamed it ed, So going to know is what

0:39:43.440 --> 0:39:44.319
<v Speaker 2>the numbers we really were?

0:39:45.200 --> 0:39:48.480
<v Speaker 3>Yeah, believe it or not. Earning season is continuing. The

0:39:48.600 --> 0:39:51.799
<v Speaker 3>next wave of generator of AI services may depend whether

0:39:51.960 --> 0:39:55.160
<v Speaker 3>tech companies can find enough detail. Three D renderings of

0:39:55.320 --> 0:39:59.400
<v Speaker 3>tractor trailers and shampoo bottles Adobe and Video Audodesk and

0:39:59.440 --> 0:40:01.440
<v Speaker 3>said that other startups are working on just that. This

0:40:01.560 --> 0:40:04.200
<v Speaker 3>is something Bloomberg's Brady Ford reported, and he did it

0:40:04.280 --> 0:40:06.600
<v Speaker 3>before Adobe's innings after the bell tonight. Let's start with

0:40:06.680 --> 0:40:09.440
<v Speaker 3>the report. I saw the image attached to the story,

0:40:09.480 --> 0:40:10.600
<v Speaker 3>what are you going on about?

0:40:10.960 --> 0:40:12.880
<v Speaker 14>You know, Look, you could go on the internet if

0:40:12.920 --> 0:40:15.480
<v Speaker 14>you're so inclined and scrape a bunch of photos, a

0:40:15.520 --> 0:40:18.239
<v Speaker 14>bunch of videos, a bunch of books. If you want

0:40:18.320 --> 0:40:21.040
<v Speaker 14>to create a three D model that can generate a

0:40:21.120 --> 0:40:24.160
<v Speaker 14>coffee cup or something like that, you need something that

0:40:24.520 --> 0:40:27.000
<v Speaker 14>is not You can't scrape it, right. And so we're

0:40:27.040 --> 0:40:29.799
<v Speaker 14>seeing companies like Adobe going out and note that they're

0:40:29.840 --> 0:40:32.360
<v Speaker 14>not scraping otherwise, but we're seeing them go out and

0:40:32.480 --> 0:40:36.239
<v Speaker 14>buy three D data directly from creators. We're seeing Autodesk

0:40:36.280 --> 0:40:40.040
<v Speaker 14>go to its companies for construction management and design saying, hey,

0:40:40.160 --> 0:40:42.279
<v Speaker 14>you have these three D renderings of bridges, what if

0:40:42.280 --> 0:40:43.719
<v Speaker 14>you share them with us so we can build this

0:40:43.800 --> 0:40:46.040
<v Speaker 14>three D model. I think the same way we've seeing

0:40:46.120 --> 0:40:47.400
<v Speaker 14>photo models get created.

0:40:47.560 --> 0:40:49.399
<v Speaker 9>A year or two down the line, we're gonna start

0:40:49.440 --> 0:40:51.200
<v Speaker 9>seeing these three D models come out more.

0:40:51.760 --> 0:40:55.760
<v Speaker 2>How much is Adobe able to monetize this new AI focus.

0:40:57.080 --> 0:40:58.640
<v Speaker 1>Well, that's a big question for tonight.

0:40:58.800 --> 0:41:01.360
<v Speaker 9>Right, everybody wants to know whether Adobe is going to

0:41:01.440 --> 0:41:03.799
<v Speaker 9>be able to really get money from all of their

0:41:03.880 --> 0:41:05.279
<v Speaker 9>generative AI innovations.

0:41:05.400 --> 0:41:05.520
<v Speaker 6>Right.

0:41:05.560 --> 0:41:09.680
<v Speaker 9>They've rolled out a lot throughout their products through higher

0:41:09.760 --> 0:41:13.600
<v Speaker 9>pricing tiers, some credit packs, but like many software companies,

0:41:13.800 --> 0:41:16.919
<v Speaker 9>it is not totally clear whether they are actually making

0:41:16.960 --> 0:41:17.680
<v Speaker 9>money from it yet.

0:41:18.360 --> 0:41:20.560
<v Speaker 2>We'll wait to see if that revenue can indeed hit

0:41:20.680 --> 0:41:23.680
<v Speaker 2>the ten percent increased level I expected. Brodie Ford, we

0:41:23.760 --> 0:41:25.920
<v Speaker 2>hope you'll join us tomorrow to break down those numbers.

0:41:26.160 --> 0:41:28.480
<v Speaker 2>We appreciate rank you. Meanwhile, that does it for this

0:41:28.680 --> 0:41:31.120
<v Speaker 2>edition of Bloomberg Technology, conning on what.

0:41:31.239 --> 0:41:34.280
<v Speaker 3>An addition it was, from private companies to public companies,

0:41:34.440 --> 0:41:37.279
<v Speaker 3>everything in between. Don't you've recap on the podcast. You

0:41:37.320 --> 0:41:40.799
<v Speaker 3>know where to find it on the terminal, online, on Apple, Spotify,

0:41:41.280 --> 0:41:43.160
<v Speaker 3>and of course on iHeart from New York City with

0:41:43.239 --> 0:41:45.759
<v Speaker 3>Caroline out here in San Francisco with me and a

0:41:45.840 --> 0:41:48.719
<v Speaker 3>visiting Brodie Ford. This is Bloomberg Technology