WEBVTT - OpenAI and Microsoft, Bitcoin, and Planes

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<v Speaker 2>Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney alongside

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<v Speaker 2>my co host Matt Miller.

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<v Speaker 2>podcast open AI. This is the story of the morning.

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<v Speaker 2>I'm going to assume most people will figure it. I

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<v Speaker 2>have kind of seen the news right now. It looks

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<v Speaker 2>like Microsoft might be a little bit of a winner here.

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<v Speaker 2>So we're going to round Table to sing ed Ludlow,

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<v Speaker 2>he's host to Bloomberg Technology and Mandeep saying he's our

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<v Speaker 2>senior technology analyst for Bloomberg Intelligence. So Mandib at this

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<v Speaker 2>stage and it's still a very fluid situation, I'm not

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<v Speaker 2>even sure where the employees are going from open Ai,

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<v Speaker 2>whether they're staying at the existing thing or whether they're

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<v Speaker 2>going to go over to Microsoft. I'm not even sure

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<v Speaker 2>where Sam Altman is. But it appears that Microsoft hired

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<v Speaker 2>by Microsoft. We'll see. I'm waiting to see, like triple confirmation.

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<v Speaker 1>Zatcha n Adella confirmed it. He's the CEO of Microsoft.

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<v Speaker 3>It can be going.

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<v Speaker 2>I don't know where these guys.

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<v Speaker 4>It's Silicon Valley.

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<v Speaker 2>The kids don't know what they're doing. Mandib, it seems

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<v Speaker 2>like it's a win win win for Microsoft here, what's

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<v Speaker 2>your take.

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<v Speaker 5>Actually, we sort of disagree with that consensus. Few that

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<v Speaker 5>nice for Microsoft simply because you know, when you are

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<v Speaker 5>acquiring talent like this, it's not the best way to

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<v Speaker 5>you know, build a new product. And in this case,

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<v Speaker 5>the IP still remains with open Ai, so it's not

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<v Speaker 5>as if they can poured over the large anchorage model,

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<v Speaker 5>which is really the key to building the ecosystem, they

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<v Speaker 5>will have to build it from scratch. And remember, when

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<v Speaker 5>you're training AI, you need, yes, the infrastructure, but you

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<v Speaker 5>also need large amounts of data. And Microsoft mader like

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<v Speaker 5>three months to make Rock Well. So Twitter had a

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<v Speaker 5>lot of their own data. So that's what it comes

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<v Speaker 5>down to. Can they build a model just based on

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<v Speaker 5>being data? The answer is no. And that's where.

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<v Speaker 6>I think why not?

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<v Speaker 1>Because Bing has a lot of data.

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<v Speaker 5>Look at how long Bing had had integration with open

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<v Speaker 5>ai Chat GPT. Still they haven't been able to take

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<v Speaker 5>any share from Google, and Microsoft's CEO admitted that that

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<v Speaker 5>despite the integration with open Ali and and so clearly

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<v Speaker 5>there is a lot more to open AI's IP than

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<v Speaker 5>what we know. And that's why it's a proprietary foundational model,

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<v Speaker 5>unlike Madawslama, which is open source.

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<v Speaker 2>So there all right, So I want to bring in

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<v Speaker 2>Ed Ludlow if for no other reason then he's literally

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<v Speaker 2>in Silicon Valley and Ed, your job right now is

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<v Speaker 2>explain to me why I or anybody else in this

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<v Speaker 2>country should care about what's happening it opened ai and

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<v Speaker 2>Sam Maltman.

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<v Speaker 1>Have you cared about anything else all weekend?

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<v Speaker 6>Yeah?

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<v Speaker 4>That's well.

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<v Speaker 7>I mean, you know, to my credit, chaps, I am

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<v Speaker 7>on almost every single byline that we've written since Friday lunchtime.

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<v Speaker 7>So forgive my dower mood. But look, this is what's

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<v Speaker 7>at stake, billions of dollars of value in the private markets.

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<v Speaker 7>The elimination of a company that is the clear market

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<v Speaker 7>incumbent for both consumer facing and enterprise tools that are

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<v Speaker 7>powered by a large language model and are presented in

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<v Speaker 7>the form of a chatbot or generator of AI tool.

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<v Speaker 4>And third of all, there will be a.

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<v Speaker 7>Massive spotlight on my Microsoft because the question will remain

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<v Speaker 7>do they buy the rest of it? Well, what we

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<v Speaker 7>reported over the weekend is that when all of this

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<v Speaker 7>wrangling was go on, and we can get into it,

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<v Speaker 7>I've got some great gossip for you guys. But the

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<v Speaker 7>principal consideration was Sam wanted the board to resign. They didn't.

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<v Speaker 7>They dug in and he did not come back. But

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<v Speaker 7>one offer on the table was whether Microsoft or not

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<v Speaker 7>took a board seat, And the reason that they didn't,

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<v Speaker 7>I'm told by sources, is that there would just be

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<v Speaker 7>too much scrutiny from an antitrust perspective, too much concentration

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<v Speaker 7>of influence of a company that is leading the direction

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<v Speaker 7>of AI in the real world.

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<v Speaker 4>That's what we're talking about here.

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<v Speaker 1>Well, now they get most of the company for free, right.

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<v Speaker 1>I mean, I'm interested to hear what you've been hearing,

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<v Speaker 1>and I know that you. First of all, Ed, I've

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<v Speaker 1>been reading everything you've been writing, and thank you for

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<v Speaker 1>the work. I can't believe you've had any sleep, and

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<v Speaker 1>you look amazing.

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<v Speaker 7>I apologize for that because I haven't had any sleep.

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<v Speaker 4>That's why I'm.

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<v Speaker 1>Secondly, to me, it looks like Microsoft now gets that's

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<v Speaker 1>Altman and Brockman and maybe five hundred other employees pretty

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<v Speaker 1>much for salaries.

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<v Speaker 8>Right.

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<v Speaker 1>I guess maybe a signing bonus, but they don't have

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<v Speaker 1>to spend eighty six billion dollars or even if you

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<v Speaker 1>take out their thirteen you know, seventy three billion dollars.

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<v Speaker 1>Isn't that a huge win?

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<v Speaker 4>Right?

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<v Speaker 7>Open AI has seven hundred and seventy employees. Five hundred

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<v Speaker 7>of those have signed a letter to the board this morning,

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<v Speaker 7>which I've seen, saying that if the board doesn't resign,

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<v Speaker 7>those five hundred will resign and they will go to Microsoft.

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<v Speaker 7>When Satya Nadella posted on X last night, he buried

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<v Speaker 7>the lead. It was a very long statement. The idea

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<v Speaker 7>that Sam and Greg Brockman, the former chair of open

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<v Speaker 7>AI's board, were joining Microsoft, was right at the bottom.

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<v Speaker 7>But there was very clear language there, and I'd ask

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<v Speaker 7>the audience to go and look out for it. It

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<v Speaker 7>said those two with others joining from open Ai.

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<v Speaker 4>Satya said it last night. So that's a very real risk.

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<v Speaker 7>And what I would say is that at the core

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<v Speaker 7>of this story is the open aies almost the entirety

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<v Speaker 7>of its value. And Mande may disagree here, but the

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<v Speaker 7>entirety of its value that the investors outlined to me

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<v Speaker 7>is its intellectual capital. If you take those top ten

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<v Speaker 7>data scientists and the top product guys, which is Sam Outman,

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<v Speaker 7>and you take them somewhere else, open has ai has

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<v Speaker 7>nothing left. That's what we're talking about here.

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<v Speaker 1>Okay, I'm looking at the ip that mandplay.

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<v Speaker 2>That's what I'm saying. Many if I'm looking at Microsoft stock,

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<v Speaker 2>it's only up seven ten to one percent, I would

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<v Speaker 2>have thought it a up ten percent or more.

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<v Speaker 6>Why do you think that is?

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<v Speaker 5>And look, Opening Eye has a lot of other investors too,

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<v Speaker 5>So granted Microsoft owns forty nine percent of the company,

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<v Speaker 5>but there are other investors, the private rounds that they

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<v Speaker 5>had before Microsoft got on board.

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<v Speaker 1>And so I think, by the way, can I just

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<v Speaker 1>ask clearly clarify the Microsoft owns forty nine percent of

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<v Speaker 1>the for profit unit in the nonprofit structure or do

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<v Speaker 1>they own forty nine percent of the whole thing?

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<v Speaker 5>Forty nine percent of the whole thing? But Ed can

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<v Speaker 5>confirm if that's he has a different point of view.

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<v Speaker 7>Well, on paper, on paper, the on the balance sheet

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<v Speaker 7>of Microsoft, it will show that the open aillc or

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<v Speaker 7>the incorporated for profit business.

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<v Speaker 4>But again the audience, there's a.

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<v Speaker 7>Ven diagram or a diagram out there, sorry, not a

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<v Speaker 7>ven diagram that sets it out. And you can say,

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<v Speaker 7>but man Deep is right, forty nine percent Microsoft holds.

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<v Speaker 7>I'd make one observation that the other fifty one percent

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<v Speaker 7>on the cap table. My understanding is that even the

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<v Speaker 7>biggest individual shareholders from a venture firm perspective own less

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<v Speaker 7>than one percent each, which is another reason that this

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<v Speaker 7>is so chaotic right now.

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<v Speaker 6>Right an Alman says he on none.

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<v Speaker 5>Well, so, I mean, look, at the end of the day,

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<v Speaker 5>there is a lot of ip within open the eye.

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<v Speaker 5>If the employees leave, they can't take that IP. And

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<v Speaker 5>that's the thing about a tech company is you know,

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<v Speaker 5>if I have an algorithm or a model that's within

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<v Speaker 5>a company until unless Microsoft ends up buying that company,

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<v Speaker 5>they don't have rights to the open ai foundational model

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<v Speaker 5>and for employees to recreate that. Let's say the five

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<v Speaker 5>hundred employees recreate that model within six months, what is

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<v Speaker 5>your IP? I mean any other company can do it then.

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<v Speaker 5>So it puts Microsoft in a tough spot because one,

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<v Speaker 5>on the one hand, it could show that AI large

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<v Speaker 5>arid models are a commodity. On the other hand, they

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<v Speaker 5>may have to buy the whole company for eighty billion

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<v Speaker 5>because the other fifty one percent want a good exit.

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<v Speaker 5>They don't want the company to die.

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<v Speaker 2>Act at third thirty seconds, what are you reporting on?

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<v Speaker 2>What are you guys working on today? What are you

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<v Speaker 2>chasing today?

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<v Speaker 4>Okay, the big thing is going to be private markets.

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<v Speaker 7>There was a tender that was open for hundreds of

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<v Speaker 7>billions of dollars for employees of open ai to sell

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<v Speaker 7>shares to thrive capital. My understanding is that is very

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<v Speaker 7>much in doubt. Friday, the market for private open ai

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<v Speaker 7>stock was incredibly liquid, very.

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<v Speaker 6>Un in doubt. It's probably a way to say it.

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<v Speaker 7>Yes, that liquidity slams shot Friday while I was having

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<v Speaker 7>lunch with a so who is trying to buy in

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<v Speaker 7>that market, look out for that. People are going to

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<v Speaker 7>get burned. These are transactions that were pending and will

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<v Speaker 7>now not go through.

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<v Speaker 6>I'd say got burned. Yeah, story is over ed.

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<v Speaker 2>Thank you so much for joining us, and I know

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<v Speaker 2>you're busy ed Ludlow and your team out there for

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<v Speaker 2>Bloomberg Technology man deep seeing senior technology annels for Bloomberg Intelligence.

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<v Speaker 2>Appreciate getting you two folks together as we continue to

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<v Speaker 2>report on this dynamic technology story.

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<v Speaker 8>You're listening to the team Ken's are Live program Bloomberg

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<v Speaker 8>Markets weekdays at ten am Eastern on Bloomberg dot com,

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<v Speaker 8>the iHeartRadio app and the Bloomberg Business app, or listen

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<v Speaker 8>on demand wherever you get your podcasts.

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<v Speaker 2>All Right, So Matt and I were just talking like

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<v Speaker 2>one of the key fundamental issues here in this open

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<v Speaker 2>AI seems to be the debate within open AI and

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<v Speaker 2>within the tech industry and with I guess just kind

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<v Speaker 2>of the tech world in general about AI weighing commercialization

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<v Speaker 2>versus the fact that this in could end civilization. So

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<v Speaker 2>that seems to be getting a little bit lost here

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<v Speaker 2>in some of the reporting here today. Maybe our next

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<v Speaker 2>guest can help us out. Jim Anderson. He's the CEO

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<v Speaker 2>of Beacon Software. He joins his life here in our

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<v Speaker 2>Bloomberg Interactive Brooker's studio. So, Jim, how do you, guys,

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<v Speaker 2>you know, in that space, in the software space, how

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<v Speaker 2>do you think about AI in terms of commercializing it

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<v Speaker 2>but by also being cognizant of the potential risk it

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<v Speaker 2>could posed.

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<v Speaker 9>Yeah, Paul, it won't surprise you to hear that we

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<v Speaker 9>think first about commercializing it, right, Because if you can't

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<v Speaker 9>commercialize it, you don't have anything to really worry about, right.

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<v Speaker 9>So in the eyes of a sort of capitalist or

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<v Speaker 9>a private sector person, you tend to focus on that first.

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<v Speaker 9>I think one of the things social media has taught

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<v Speaker 9>us is, hey, let's not collectively be so naive about

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<v Speaker 9>the negatives. Let's not wait a decade and see what

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<v Speaker 9>damage we've wrought and then see if we can undo it.

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<v Speaker 9>So I do think there's including with private sector, capitalistic companies,

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<v Speaker 9>there's a lot more willingness to try to anticipate those

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<v Speaker 9>negative effects. But you know, the open eye example is

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<v Speaker 9>an extreme example of a capitalistic company worth reportedly eighty

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<v Speaker 9>billion dollars according to Microsoft, run by a nonprofit with

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<v Speaker 9>a very different sensibility. And it's not really surprising that

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<v Speaker 9>you ended up with a very different view of the world.

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<v Speaker 1>Well, and as we know, with social media, you just

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<v Speaker 1>can't put the genie back in the bottle, right. And

0:11:08.600 --> 0:11:13.000
<v Speaker 1>the problem is where social media seems to now in hindsight,

0:11:13.080 --> 0:11:17.040
<v Speaker 1>be a cancer on society that we can't cure. AI

0:11:17.400 --> 0:11:22.440
<v Speaker 1>could be like a massive cardiac arrest. I mean, it

0:11:22.440 --> 0:11:26.240
<v Speaker 1>could just kill us all. But no one can care

0:11:26.320 --> 0:11:29.240
<v Speaker 1>about that anymore since we can make money on it today.

0:11:29.240 --> 0:11:32.640
<v Speaker 1>It doesn't matter if it's going to destroy society in uh,

0:11:32.760 --> 0:11:34.000
<v Speaker 1>you know, decades.

0:11:34.480 --> 0:11:36.200
<v Speaker 6>Yeah, I don't know that. I would agree that nobody

0:11:36.240 --> 0:11:37.439
<v Speaker 6>can care about it anymore.

0:11:37.440 --> 0:11:38.480
<v Speaker 4>But you can care.

0:11:38.559 --> 0:11:41.280
<v Speaker 9>But you can't do anything if you can't stop stop, right.

0:11:41.400 --> 0:11:43.200
<v Speaker 9>But I think it's it's interesting. I mean, you know

0:11:43.240 --> 0:11:45.760
<v Speaker 9>that we could have a debate about Skynet and whether

0:11:45.880 --> 0:11:48.360
<v Speaker 9>you know the end of humanity, how likely that is

0:11:48.800 --> 0:11:51.240
<v Speaker 9>to happen. I think the risk of that is it

0:11:51.280 --> 0:11:54.959
<v Speaker 9>misses you know, if everything is the extinction of humanity.

0:11:54.600 --> 0:11:56.040
<v Speaker 6>Or or or not.

0:11:56.200 --> 0:11:58.040
<v Speaker 9>I mean, you know, you've you've sort of dialed it

0:11:58.120 --> 0:12:00.160
<v Speaker 9>up to eleven, right, there's nothing less than that. I

0:12:00.160 --> 0:12:02.360
<v Speaker 9>think there are plenty of near term harms that are

0:12:02.440 --> 0:12:05.839
<v Speaker 9>much more likely that will happen much more quickly that

0:12:05.880 --> 0:12:08.400
<v Speaker 9>we run the risk of glossing over and think about it, right,

0:12:08.440 --> 0:12:11.280
<v Speaker 9>remember the early days of email, right, you know, Wow,

0:12:11.320 --> 0:12:15.600
<v Speaker 9>this is amazing. I can communicate with people, and then scammers, grifters, fraudsters,

0:12:15.640 --> 0:12:18.319
<v Speaker 9>and marketers decided, hey, I can send a billion emails

0:12:18.320 --> 0:12:20.240
<v Speaker 9>for the same price as one and all of our

0:12:20.240 --> 0:12:23.400
<v Speaker 9>inboxes started being flooded. Well now, basically content creation is

0:12:23.440 --> 0:12:27.440
<v Speaker 9>effectively free with the chat, GPT and those kinds of tools.

0:12:27.440 --> 0:12:30.400
<v Speaker 9>With AI, now, I think the entire Internet runs the

0:12:30.520 --> 0:12:34.480
<v Speaker 9>risk of being flooded with spam, misinformation, and just garbage.

0:12:34.720 --> 0:12:37.160
<v Speaker 9>And we're all going to have a very pragmatic challenge,

0:12:37.320 --> 0:12:39.760
<v Speaker 9>you know, sort of managing through that. Never mind the

0:12:40.400 --> 0:12:43.559
<v Speaker 9>terrible potential long term use cases. Just in the near term,

0:12:43.559 --> 0:12:45.520
<v Speaker 9>we're going to have a lot of real problems because

0:12:45.760 --> 0:12:47.600
<v Speaker 9>bad actors are going to take these tools and do

0:12:47.720 --> 0:12:48.560
<v Speaker 9>bad things with them.

0:12:48.960 --> 0:12:52.000
<v Speaker 2>So open or just AI in general, I mean with

0:12:52.160 --> 0:12:56.640
<v Speaker 2>open AI, I guess as we speak part of Microsoft.

0:12:56.640 --> 0:13:00.400
<v Speaker 2>Now what are the competitors out there and just an artificialgens?

0:13:00.400 --> 0:13:02.679
<v Speaker 2>What are the competitors and does it change? It seems

0:13:02.720 --> 0:13:05.040
<v Speaker 2>like it's got to change the competitive landscape.

0:13:05.200 --> 0:13:05.960
<v Speaker 6>No doubt it will.

0:13:06.000 --> 0:13:07.520
<v Speaker 9>I mean you you want to say, okay, what are

0:13:07.520 --> 0:13:10.559
<v Speaker 9>the chatbot competitors who are building large language models that

0:13:10.600 --> 0:13:14.720
<v Speaker 9>you know Google's got Barred Anthropic was a former AI person. Uh,

0:13:14.800 --> 0:13:16.280
<v Speaker 9>you know, there's a there's a couple of them out there,

0:13:16.320 --> 0:13:18.199
<v Speaker 9>but you know, building your own large language models like

0:13:18.200 --> 0:13:20.200
<v Speaker 9>a billion dollar proposition. So it's not going to be

0:13:20.600 --> 0:13:22.640
<v Speaker 9>dozens of these things. It's a it's a big tech

0:13:22.720 --> 0:13:25.360
<v Speaker 9>kind of investment. But I think what's interesting is you

0:13:25.440 --> 0:13:27.160
<v Speaker 9>raise a point about you know, we all tend to

0:13:27.160 --> 0:13:29.680
<v Speaker 9>think of AI in terms of chat, GPT and chatbots,

0:13:29.720 --> 0:13:32.280
<v Speaker 9>and that's really amazing and it's got some really interesting

0:13:32.360 --> 0:13:37.080
<v Speaker 9>use cases, but think about other worlds like transportation, healthcare, manufacturing.

0:13:37.320 --> 0:13:40.840
<v Speaker 9>AI has the ability to transform those industries. Traffic, Like,

0:13:40.880 --> 0:13:43.240
<v Speaker 9>imagine a world where autonomous vehicles and those have their

0:13:43.240 --> 0:13:47.040
<v Speaker 9>own sets of challenges, can untangle traffic in big cities

0:13:47.080 --> 0:13:49.160
<v Speaker 9>and we no longer have to sit in traffic jams.

0:13:49.200 --> 0:13:53.079
<v Speaker 9>Imagine a world where you know, radiologists don't miss scans

0:13:53.160 --> 0:13:55.960
<v Speaker 9>on X rays or MRIs and things like that. I mean,

0:13:56.040 --> 0:13:58.079
<v Speaker 9>you know, there's plenty of use cases where AI can

0:13:58.160 --> 0:14:02.600
<v Speaker 9>truly help humanity and substantive powerful ways that have nothing

0:14:02.600 --> 0:14:05.320
<v Speaker 9>to do with chatbots that are powered by AI and

0:14:05.360 --> 0:14:07.000
<v Speaker 9>these underlying large language models.

0:14:07.400 --> 0:14:10.240
<v Speaker 1>So the large language model or the data set, I

0:14:10.240 --> 0:14:12.959
<v Speaker 1>guess is the most important issue that you deal with.

0:14:13.000 --> 0:14:16.600
<v Speaker 1>How do you look at this from Beacon software perspective?

0:14:16.720 --> 0:14:19.960
<v Speaker 1>Like what data sets are the most important? You know,

0:14:20.000 --> 0:14:21.520
<v Speaker 1>which ones do you want to get a hold of?

0:14:21.560 --> 0:14:25.600
<v Speaker 1>Which ones can we not touch? Yeah, it's such a huge.

0:14:25.360 --> 0:14:28.600
<v Speaker 9>Issue, right, Yeah, it is, And we've specialized in transportation, right,

0:14:28.640 --> 0:14:31.280
<v Speaker 9>so we're working with state dots Georgia and other states

0:14:31.320 --> 0:14:33.360
<v Speaker 9>to say, okay, how are you going to untangle traffic

0:14:33.440 --> 0:14:35.400
<v Speaker 9>mainly in your big cities, which is where you've got it.

0:14:35.600 --> 0:14:37.400
<v Speaker 6>Well, they're actually a wash in data.

0:14:37.440 --> 0:14:39.640
<v Speaker 9>They've got more data than they know what to do with,

0:14:39.800 --> 0:14:42.440
<v Speaker 9>than they can effectively store, than they can effectively harness.

0:14:42.480 --> 0:14:45.800
<v Speaker 9>And what's AI great at taking a massive data set

0:14:45.880 --> 0:14:48.440
<v Speaker 9>and making sense of it? And these connected vehicles now,

0:14:48.520 --> 0:14:50.640
<v Speaker 9>think about it. Every time you've got a Tesla on

0:14:50.640 --> 0:14:52.600
<v Speaker 9>the road. Every time you turn your windshield wipers on,

0:14:53.440 --> 0:14:55.520
<v Speaker 9>there's a signal right there that's been captured.

0:14:55.600 --> 0:14:57.640
<v Speaker 6>And you say, well, who cares? Well, guess what if

0:14:57.640 --> 0:14:59.520
<v Speaker 6>you harnessed every vehicle on the road and you knew

0:14:59.520 --> 0:15:01.520
<v Speaker 6>when they're winch wipers were on? At what level?

0:15:01.800 --> 0:15:04.960
<v Speaker 9>You now have a hyper local precipitation map that's the

0:15:05.080 --> 0:15:06.440
<v Speaker 9>likes of which nobody else has.

0:15:06.520 --> 0:15:07.120
<v Speaker 6>Right, It is awesome.

0:15:08.560 --> 0:15:10.160
<v Speaker 9>So those times are that right, But you've got to

0:15:10.160 --> 0:15:11.640
<v Speaker 9>be able to capture the data. You've got to be

0:15:11.640 --> 0:15:14.120
<v Speaker 9>able to intelligently use the data, and you've got to

0:15:14.160 --> 0:15:15.960
<v Speaker 9>not be able to drown in the data, which is

0:15:15.960 --> 0:15:19.000
<v Speaker 9>what everybody is facing right now. And AI, to oversimplify,

0:15:19.200 --> 0:15:22.280
<v Speaker 9>AI has the AI ability to keep you from drowning

0:15:22.280 --> 0:15:23.360
<v Speaker 9>and data like you have been.

0:15:24.080 --> 0:15:29.520
<v Speaker 2>Is there who's thinking about how AI should be managed?

0:15:29.600 --> 0:15:30.160
<v Speaker 4>Regulated?

0:15:30.240 --> 0:15:31.960
<v Speaker 2>Is anybody thinking about that out there?

0:15:32.120 --> 0:15:34.120
<v Speaker 9>There's lots of thinking that. The question is anybody doing

0:15:34.160 --> 0:15:36.360
<v Speaker 9>anything about it? So I think, you know, again, let's

0:15:36.360 --> 0:15:40.240
<v Speaker 9>give credit where credits do. I think regulators, legislators, and

0:15:40.280 --> 0:15:42.760
<v Speaker 9>even the companies themselves are thinking about it, are talking

0:15:42.760 --> 0:15:45.200
<v Speaker 9>about it, and I think there's legitimate criticism. Great, you

0:15:45.240 --> 0:15:46.520
<v Speaker 9>just want to think and talk about it and never

0:15:46.560 --> 0:15:48.160
<v Speaker 9>do anything as a way of deflecting.

0:15:49.320 --> 0:15:51.840
<v Speaker 6>You know, the EU of course takes a leadership.

0:15:51.520 --> 0:15:53.920
<v Speaker 9>Role and a lot of things around privacy and data protection,

0:15:54.040 --> 0:15:56.040
<v Speaker 9>all that would stand a reason they might take a

0:15:56.120 --> 0:15:58.280
<v Speaker 9>more aggressive and they already have, you know, started to

0:15:58.320 --> 0:16:02.280
<v Speaker 9>take steps towards a more aggressive position than the US.

0:16:02.440 --> 0:16:05.280
<v Speaker 9>I think you're going to ask the big We're going

0:16:05.320 --> 0:16:07.680
<v Speaker 9>to ask the big tech companies to be more responsible

0:16:07.720 --> 0:16:08.440
<v Speaker 9>and maybe sign up.

0:16:08.400 --> 0:16:10.520
<v Speaker 6>To a higher standard than we would have a decade ago.

0:16:10.760 --> 0:16:14.880
<v Speaker 9>Okay, Microsoft, Okay, Google, Okay, Facebook, Meta, you know those

0:16:14.920 --> 0:16:17.640
<v Speaker 9>types of companies, We're going to expect more out of them.

0:16:17.640 --> 0:16:19.360
<v Speaker 9>But I think at the end of the day, especially

0:16:19.400 --> 0:16:21.320
<v Speaker 9>in the US, ultimately Congress is going to have to

0:16:21.320 --> 0:16:24.600
<v Speaker 9>get involved in Yeah, that they have a few.

0:16:24.480 --> 0:16:26.840
<v Speaker 2>Issues questioning coming from our Congress.

0:16:27.800 --> 0:16:30.640
<v Speaker 1>I won't mention there are a few I can definitely imagine,

0:16:30.640 --> 0:16:32.480
<v Speaker 1>but it's a horror show thinking about it.

0:16:32.640 --> 0:16:34.000
<v Speaker 6>So how long, Jim.

0:16:33.920 --> 0:16:40.720
<v Speaker 1>Until we have real leaps forward in like autonomous driving?

0:16:41.000 --> 0:16:44.040
<v Speaker 1>And I mean the real question is how long is

0:16:44.080 --> 0:16:46.400
<v Speaker 1>it going to be until we have far fewer deaths

0:16:46.400 --> 0:16:47.440
<v Speaker 1>from traffic accidents?

0:16:47.520 --> 0:16:49.640
<v Speaker 9>Yeah, I'm glad you mentioned that because We've got forty

0:16:49.640 --> 0:16:52.200
<v Speaker 9>three thousand people a year die on US roads.

0:16:52.360 --> 0:16:54.200
<v Speaker 6>It is a public health crisis.

0:16:54.200 --> 0:16:56.040
<v Speaker 9>I mean, people don't typically think about it that way,

0:16:56.160 --> 0:16:58.920
<v Speaker 9>and those are human driven cars, so there's a crying

0:16:59.040 --> 0:17:01.680
<v Speaker 9>need for that. But we saw lost over the weekend

0:17:02.120 --> 0:17:05.440
<v Speaker 9>in all of the open AI news cruise. The Robotaxi

0:17:05.440 --> 0:17:07.920
<v Speaker 9>company CEO stepped down. I don't know if you saw that. Yeah, yeah,

0:17:07.920 --> 0:17:11.720
<v Speaker 9>but controversy because they were not open and transparent. There

0:17:11.760 --> 0:17:14.280
<v Speaker 9>was an incident involving a robot taxi in San Francisco.

0:17:14.359 --> 0:17:17.959
<v Speaker 9>Somebody was seriously injured. They didn't really quite disclose what happened,

0:17:18.000 --> 0:17:20.320
<v Speaker 9>and so they lost trust there. And so it's striking

0:17:20.359 --> 0:17:23.000
<v Speaker 9>to me this sort of everybody wants to move fast,

0:17:23.000 --> 0:17:25.280
<v Speaker 9>but if you move too fast, you end up going slower, right,

0:17:25.280 --> 0:17:27.120
<v Speaker 9>because all you're going to do is create a backlash.

0:17:27.119 --> 0:17:30.160
<v Speaker 9>You're going to set the entire industry back year or two.

0:17:30.160 --> 0:17:32.520
<v Speaker 9>I don't know what the timeframe will be, but I

0:17:32.520 --> 0:17:35.120
<v Speaker 9>think it's critical that companies involved in Tesla is being

0:17:35.119 --> 0:17:37.600
<v Speaker 9>maybe the most notable of this around US autonomous driving

0:17:37.880 --> 0:17:40.520
<v Speaker 9>is running the risk of sort of poisoning the well

0:17:40.640 --> 0:17:43.159
<v Speaker 9>and setting things back because they're being too aggressive and

0:17:43.400 --> 0:17:45.600
<v Speaker 9>to the beginning of our conversation, right, what does big

0:17:45.640 --> 0:17:48.359
<v Speaker 9>tech do? They just know how to do big tech right.

0:17:48.400 --> 0:17:51.160
<v Speaker 9>They go fast. I'm a private sector company. I've got

0:17:51.160 --> 0:17:53.560
<v Speaker 9>to grab adoption while it's there. I've got to move fast.

0:17:53.680 --> 0:17:55.800
<v Speaker 9>You know what's the famous line Facebook at move fast

0:17:55.800 --> 0:17:58.399
<v Speaker 9>and break things right until they realized they broke something

0:17:59.359 --> 0:18:00.360
<v Speaker 9>to maybe signific.

0:18:00.359 --> 0:18:02.040
<v Speaker 2>Exactly all right, Jim, thanks so much for joining us.

0:18:02.080 --> 0:18:04.440
<v Speaker 2>Jim Anderson. He's the CEO of Beacon Software. His job

0:18:04.480 --> 0:18:07.080
<v Speaker 2>is to fix the traffic in Atlanta, Georgia. Good luck

0:18:07.119 --> 0:18:07.320
<v Speaker 2>with that.

0:18:07.760 --> 0:18:10.879
<v Speaker 8>You're listening to the tape Cat's are live program Bloomberg

0:18:10.920 --> 0:18:14.520
<v Speaker 8>Markets weekdays at ten am Eastern on Bloomberg Radio, the

0:18:14.600 --> 0:18:17.800
<v Speaker 8>tune in app, Bloomberg dot Com, and the Bloomberg Business app.

0:18:17.840 --> 0:18:20.680
<v Speaker 8>You can also listen live on Amazon Alexa from our

0:18:20.680 --> 0:18:25.760
<v Speaker 8>flagship New York station, Just say Alexa play Bloomberg eleven thirty.

0:18:26.760 --> 0:18:30.480
<v Speaker 1>We have Matt Matt Siegel in here. He is the

0:18:30.520 --> 0:18:33.840
<v Speaker 1>head of I guess cryptoanalysis over at van Neck. What's

0:18:33.840 --> 0:18:37.280
<v Speaker 1>your official title at van Neck, head of Digital assets Research?

0:18:37.480 --> 0:18:37.959
<v Speaker 3>You got it.

0:18:38.000 --> 0:18:42.080
<v Speaker 1>I was pretty close, and I mean before we get

0:18:42.080 --> 0:18:45.400
<v Speaker 1>into anything else, when are we gonna see these ETFs

0:18:45.440 --> 0:18:50.119
<v Speaker 1>finally allowed by the SEC? Because it doesn't even feel

0:18:50.119 --> 0:18:52.920
<v Speaker 1>like Gary Gensler's dragging his feed anymore. It's like he's

0:18:53.080 --> 0:18:56.080
<v Speaker 1>grasped on to a chair and people are trying to

0:18:56.119 --> 0:18:56.640
<v Speaker 1>pull him.

0:18:56.720 --> 0:18:57.399
<v Speaker 3>What's the deal.

0:18:58.880 --> 0:19:02.480
<v Speaker 10>The final deadline for approval of a number of these

0:19:02.640 --> 0:19:06.840
<v Speaker 10>spot bitcoin ETFs is the first half of January, So

0:19:07.080 --> 0:19:08.879
<v Speaker 10>there's a lot of logistics that has to go on

0:19:08.920 --> 0:19:11.879
<v Speaker 10>behind the scenes at the SEC, with various divisions talking

0:19:11.880 --> 0:19:14.280
<v Speaker 10>to each other and communicating with issuers to button up

0:19:14.320 --> 0:19:17.360
<v Speaker 10>all but it's going to happens very high percentage by

0:19:17.400 --> 0:19:19.560
<v Speaker 10>the first half of January next year.

0:19:19.640 --> 0:19:23.240
<v Speaker 1>So what does that mean for the market? I mean,

0:19:23.400 --> 0:19:26.680
<v Speaker 1>even beyond bitcoin, Bitcoin itself is trading above thirty seven

0:19:26.720 --> 0:19:30.680
<v Speaker 1>thousand dollars, which to me is just absolutely nuts because

0:19:30.680 --> 0:19:33.080
<v Speaker 1>I started covering this kind of as a joke in

0:19:33.080 --> 0:19:36.359
<v Speaker 1>twenty twelve and it was like, you know, ninety dollars,

0:19:36.520 --> 0:19:41.240
<v Speaker 1>So the fact that that same string of code could

0:19:41.240 --> 0:19:44.080
<v Speaker 1>be worth thirty seven thousand dollars is nuts to me.

0:19:45.200 --> 0:19:46.760
<v Speaker 1>But a lot of people still look at this as

0:19:46.840 --> 0:19:48.920
<v Speaker 1>kind of a failed experiment, which.

0:19:48.720 --> 0:19:49.560
<v Speaker 6>Baffles the mind.

0:19:50.359 --> 0:19:54.120
<v Speaker 10>Well, let's start with the impact of the ETF. When

0:19:54.119 --> 0:19:58.440
<v Speaker 10>an investor buys bitcoin on coinbase a retail investor, they're

0:19:58.440 --> 0:20:01.520
<v Speaker 10>paying an average of two point five five percent in

0:20:01.800 --> 0:20:07.720
<v Speaker 10>transaction fees. When an ETF buyer buys a bitcoin ETF

0:20:07.720 --> 0:20:11.360
<v Speaker 10>in Europe, where these spot products trade, they're paying ten

0:20:11.400 --> 0:20:16.000
<v Speaker 10>to twenty basis points in spreads and commissions and fees

0:20:16.080 --> 0:20:19.520
<v Speaker 10>are often zero. So what we have is an order

0:20:19.520 --> 0:20:24.280
<v Speaker 10>of magnitude decline in costs for the end user. And

0:20:24.480 --> 0:20:28.120
<v Speaker 10>essentially you're mainlining a bitcoin only exchange into the brokerage

0:20:28.119 --> 0:20:30.720
<v Speaker 10>account of every investor in the US.

0:20:30.760 --> 0:20:33.240
<v Speaker 6>Can you arbitrage that, by the way, as a trader.

0:20:33.560 --> 0:20:35.560
<v Speaker 10>Well, that's why we have That's why there's a functioning

0:20:35.600 --> 0:20:38.920
<v Speaker 10>futures market, and the CME's market share of that futures

0:20:38.920 --> 0:20:42.439
<v Speaker 10>market has recently reached an all time high. So it

0:20:42.600 --> 0:20:46.760
<v Speaker 10>is the regulated flows. Bitcoin ETFs have seen one billion

0:20:46.800 --> 0:20:49.800
<v Speaker 10>dollars in flows in the last month. That's eighty percent

0:20:49.800 --> 0:20:52.520
<v Speaker 10>of the total year to date that we've seen. So

0:20:52.880 --> 0:20:55.360
<v Speaker 10>the flows are coming from the regulated side. It bitcoins

0:20:55.400 --> 0:20:57.480
<v Speaker 10>up thirty percent in the last month. When it's one

0:20:57.520 --> 0:20:59.920
<v Speaker 10>way buying in an illiquid asset like this, the price

0:21:00.000 --> 0:21:00.920
<v Speaker 10>impact can be large.

0:21:01.080 --> 0:21:05.000
<v Speaker 2>All right, there was an election in Argentina. Please explain

0:21:05.080 --> 0:21:07.400
<v Speaker 2>to me why this has a connection to bitcoin.

0:21:07.680 --> 0:21:11.120
<v Speaker 1>Pretty shock result as well. I mean looks like Elvis.

0:21:11.200 --> 0:21:14.280
<v Speaker 1>Javier lives with his mom and six dogs. One how

0:21:14.280 --> 0:21:15.359
<v Speaker 1>do you pronounce his last name?

0:21:15.400 --> 0:21:17.840
<v Speaker 6>Milay Malay.

0:21:18.200 --> 0:21:24.000
<v Speaker 10>Javier Malay is a libertarian who has been very vocal

0:21:24.240 --> 0:21:29.000
<v Speaker 10>about his desire to eliminate the Central Bank of Argentina.

0:21:29.480 --> 0:21:32.679
<v Speaker 10>Argentina has the worst performing currency in Latin America in

0:21:32.680 --> 0:21:36.320
<v Speaker 10>the last three decades. It's had the most number of recessions,

0:21:36.600 --> 0:21:39.720
<v Speaker 10>it has the least amount of foreign direct investment. So

0:21:39.960 --> 0:21:42.160
<v Speaker 10>sticking with the same path is kind of the definition

0:21:42.240 --> 0:21:44.800
<v Speaker 10>of insanity, keeping the same thing going and expecting something

0:21:44.800 --> 0:21:50.040
<v Speaker 10>to change. This new leader has plans to dollarize the economy.

0:21:50.160 --> 0:21:54.639
<v Speaker 10>He has been very outspoken about his belief that central

0:21:54.640 --> 0:21:57.960
<v Speaker 10>banks are a scam that impose an inflationary tax on

0:21:58.200 --> 0:22:01.840
<v Speaker 10>regular citizens, and he's I've also been very outspoken in

0:22:01.880 --> 0:22:06.960
<v Speaker 10>his admiration for bitcoin in restoring money and value to

0:22:07.000 --> 0:22:10.960
<v Speaker 10>its original creator, which is the private sector. So we've

0:22:11.000 --> 0:22:14.760
<v Speaker 10>been observing for some time that crypto adoption in Argentina,

0:22:14.880 --> 0:22:18.480
<v Speaker 10>both bitcoin and stable coins, is the highest in Latin America.

0:22:18.560 --> 0:22:21.119
<v Speaker 10>And the highest among the highest in the region.

0:22:21.800 --> 0:22:23.320
<v Speaker 2>Go into that inflation you were talking about.

0:22:23.760 --> 0:22:27.439
<v Speaker 10>Yeah, folks are holding tether in order to maintain dollar

0:22:27.520 --> 0:22:30.600
<v Speaker 10>purchasing power. The other thing we've noticed, the largest private

0:22:30.720 --> 0:22:34.439
<v Speaker 10>oil and gas company in Argentina just announced plans to

0:22:35.200 --> 0:22:39.639
<v Speaker 10>mine bitcoin with the excess gas and methane that's a

0:22:39.640 --> 0:22:43.960
<v Speaker 10>byproduct of their existing production. So it's very rational, we think,

0:22:44.080 --> 0:22:48.439
<v Speaker 10>for countries to use their stranded energy, monetize it to

0:22:48.480 --> 0:22:52.040
<v Speaker 10>earn bitcoin, and in the process give their citizens a

0:22:52.119 --> 0:22:56.000
<v Speaker 10>hedge on the Fiat imposed inflationary tax that Melee has

0:22:56.000 --> 0:22:57.440
<v Speaker 10>spoken so much about.

0:22:58.119 --> 0:23:01.120
<v Speaker 1>By the way, I'm not an official libertarian, like I'm

0:23:01.119 --> 0:23:05.440
<v Speaker 1>not racially anything, especially in a day and age when

0:23:05.600 --> 0:23:09.960
<v Speaker 1>you only vote against someone and not for anybody. But

0:23:10.440 --> 0:23:13.560
<v Speaker 1>aren't the founding fathers, Like, isn't this country kind of libertarian?

0:23:13.760 --> 0:23:15.080
<v Speaker 1>Isn't that the point of America?

0:23:15.320 --> 0:23:17.439
<v Speaker 2>Exactly? And you're in a great state of Ohio, that's

0:23:17.480 --> 0:23:19.760
<v Speaker 2>where you're from, So it's yeah.

0:23:20.200 --> 0:23:23.479
<v Speaker 1>So, Matt, what's your take on the rest of the

0:23:23.640 --> 0:23:27.200
<v Speaker 1>twenty thousand other coins? I mean, bitcoin is something we

0:23:27.240 --> 0:23:29.840
<v Speaker 1>could talk about all day and I think, you know,

0:23:29.920 --> 0:23:33.159
<v Speaker 1>even Gary Gendler doesn't think bitcoin is a security, but

0:23:33.240 --> 0:23:37.400
<v Speaker 1>everything else has a question mark. Are there are there

0:23:37.440 --> 0:23:39.800
<v Speaker 1>like ten that you like and the rest are junk?

0:23:39.800 --> 0:23:41.440
<v Speaker 1>Are there a hundred that you like and the rest

0:23:41.440 --> 0:23:41.879
<v Speaker 1>are junk?

0:23:41.880 --> 0:23:43.240
<v Speaker 3>How does the whole thing look to you?

0:23:45.080 --> 0:23:47.000
<v Speaker 10>We think the vast majority of the value in this

0:23:47.040 --> 0:23:51.280
<v Speaker 10>ecosystem is going to accrue to a handful of protocols

0:23:51.800 --> 0:23:55.760
<v Speaker 10>and thus tokens, and it's very early stages in those days,

0:23:55.800 --> 0:23:58.280
<v Speaker 10>and there's still a lot of regulatory uncertainty.

0:23:58.600 --> 0:24:00.240
<v Speaker 6>So just focusing.

0:23:59.760 --> 0:24:03.000
<v Speaker 10>On bitcoin because of the huge number of catalysts for

0:24:03.080 --> 0:24:06.399
<v Speaker 10>next year, including the lack of supply. More than seventy

0:24:06.400 --> 0:24:08.840
<v Speaker 10>percent of bitcoin supply has not moved in the last year.

0:24:09.040 --> 0:24:11.680
<v Speaker 10>That is an all time high. The bitcoin having which

0:24:11.680 --> 0:24:16.000
<v Speaker 10>is an algorithm change, occurs next April that will cut

0:24:16.040 --> 0:24:19.560
<v Speaker 10>the amount of bitcoin by half that is generated. We're

0:24:19.560 --> 0:24:22.600
<v Speaker 10>in the middle of an absolute boom in bitcoin fees,

0:24:22.720 --> 0:24:25.560
<v Speaker 10>so transaction fees on the bitcoin blockchain are now fifteen

0:24:25.600 --> 0:24:28.880
<v Speaker 10>percent of all bitcoin minor revenues, which is an all

0:24:28.880 --> 0:24:32.760
<v Speaker 10>time high. That's been turbocharged by these NFTs on bitcoin

0:24:34.000 --> 0:24:38.120
<v Speaker 10>and with the ETF coming and the institutional adoption.

0:24:38.080 --> 0:24:40.359
<v Speaker 6>Via state affiliated actors.

0:24:40.440 --> 0:24:42.560
<v Speaker 10>Right, So my call is that Argentina will become the

0:24:42.600 --> 0:24:45.440
<v Speaker 10>fifth country in the world to mine bitcoin for its

0:24:45.480 --> 0:24:52.320
<v Speaker 10>own state reserves, joining El Salvador, Bhutan, Oman and the UAE.

0:24:53.160 --> 0:24:56.760
<v Speaker 10>And with that regulatory certainty and the existence of the

0:24:56.760 --> 0:25:00.639
<v Speaker 10>ETF and the US government and G seven's continued overspending

0:25:00.720 --> 0:25:04.560
<v Speaker 10>debt and deficit problems, that they'll be large institutional buyers

0:25:04.560 --> 0:25:05.800
<v Speaker 10>that will migrate to bitcoin.

0:25:06.600 --> 0:25:06.800
<v Speaker 4>You know.

0:25:07.000 --> 0:25:08.960
<v Speaker 10>The history is that the rest of the coins benefit

0:25:09.000 --> 0:25:11.560
<v Speaker 10>from that, but that usually happens after the having which

0:25:11.600 --> 0:25:12.360
<v Speaker 10>is next April.

0:25:12.440 --> 0:25:14.919
<v Speaker 1>All right, So while we have you here, tell us

0:25:14.920 --> 0:25:16.879
<v Speaker 1>what your thought is on world coin, because we've been

0:25:16.880 --> 0:25:19.560
<v Speaker 1>talking about Sam Altman all day in regards to his

0:25:19.600 --> 0:25:22.440
<v Speaker 1>position at OpenAI or now Microsoft. But he started this

0:25:22.520 --> 0:25:26.520
<v Speaker 1>like biometric cryptocurrency. I don't know how it works, like

0:25:26.600 --> 0:25:30.000
<v Speaker 1>measures your eye and keeps the data. But what's the

0:25:30.040 --> 0:25:33.000
<v Speaker 1>story with that. It's a layer two ethereum based coin.

0:25:33.080 --> 0:25:36.879
<v Speaker 10>So you can see from the regulation being passed in

0:25:36.960 --> 0:25:40.960
<v Speaker 10>the UK and in Canada around what can be said

0:25:41.000 --> 0:25:44.760
<v Speaker 10>on internet platforms that there's a huge desire to differentiate

0:25:45.000 --> 0:25:46.359
<v Speaker 10>the humans from the bots.

0:25:46.440 --> 0:25:46.600
<v Speaker 4>Right.

0:25:46.640 --> 0:25:49.440
<v Speaker 10>Presidential candidate Nikki Haley was in the media last week

0:25:49.520 --> 0:25:52.919
<v Speaker 10>saying that everyone needs to be verified in order to

0:25:52.920 --> 0:25:55.120
<v Speaker 10>participate on social media. I doubt that's going to happen

0:25:55.160 --> 0:25:58.080
<v Speaker 10>in the US, but if it were, and we wanted

0:25:58.080 --> 0:26:04.239
<v Speaker 10>to preserve some user privacy, than a cryptographic network that

0:26:04.280 --> 0:26:08.879
<v Speaker 10>can verify user identity without revealing the name would be

0:26:08.920 --> 0:26:13.080
<v Speaker 10>an attractive product. And at the that's essentially what orl

0:26:13.160 --> 0:26:15.600
<v Speaker 10>cooin is trying to do. So we do think that

0:26:15.760 --> 0:26:17.920
<v Speaker 10>over the next year there's going to be some innovation

0:26:18.280 --> 0:26:23.840
<v Speaker 10>that allows AI to be differentiated, whether it's generated by

0:26:23.920 --> 0:26:26.080
<v Speaker 10>human or by a bot, and that crypto has a

0:26:26.160 --> 0:26:30.000
<v Speaker 10>role to play in preserving privacy while enabling those functions.

0:26:30.000 --> 0:26:30.560
<v Speaker 8>That's cool.

0:26:31.119 --> 0:26:32.639
<v Speaker 2>That's Siegel, Thank you so much for joining us.

0:26:32.640 --> 0:26:33.119
<v Speaker 3>Matt Sigua.

0:26:33.200 --> 0:26:35.960
<v Speaker 2>He's a head of digital assets research for Vaneck, joining

0:26:36.000 --> 0:26:38.280
<v Speaker 2>us live here in our Bloomberg Interactive Brokers studio, and

0:26:38.359 --> 0:26:41.560
<v Speaker 2>John Tucker is going to come up prepare executive summary

0:26:41.600 --> 0:26:43.960
<v Speaker 2>of what we discussed in this segment. So everybody's on

0:26:43.960 --> 0:26:46.560
<v Speaker 2>this minute exactly right.

0:26:47.400 --> 0:26:50.480
<v Speaker 8>You're listening to the tape. Can's our live program Bloomberg

0:26:50.600 --> 0:26:54.199
<v Speaker 8>Markets weekdays at ten am Eastern on Bloomberg Radio, the

0:26:54.240 --> 0:26:57.480
<v Speaker 8>tune in app, Bloomberg dot Com, and the Bloomberg Business app.

0:26:57.520 --> 0:27:00.359
<v Speaker 8>You can also listen live on Amazon Alexa from our

0:27:00.359 --> 0:27:05.080
<v Speaker 8>flagship New York station Just say Alexa playing Bloomberg eleven.

0:27:06.320 --> 0:27:06.600
<v Speaker 4>Now.

0:27:07.320 --> 0:27:09.840
<v Speaker 1>We have been talking a lot about airlines on this

0:27:09.920 --> 0:27:14.359
<v Speaker 1>program and the difficulty that the manufacturers have making enough planes.

0:27:14.400 --> 0:27:18.240
<v Speaker 1>There is just a huge order right for three hundred

0:27:18.440 --> 0:27:22.560
<v Speaker 1>of the was it the seven three seven or.

0:27:22.720 --> 0:27:23.159
<v Speaker 4>I think so?

0:27:23.240 --> 0:27:23.639
<v Speaker 8>I don't know.

0:27:23.840 --> 0:27:25.000
<v Speaker 6>In any case, a bunch of them.

0:27:25.680 --> 0:27:28.440
<v Speaker 1>If you order a plane today, your chances of getting

0:27:28.480 --> 0:27:31.719
<v Speaker 1>it soon are very low. I just got a message

0:27:31.760 --> 0:27:35.160
<v Speaker 1>from Ali Ben al Maldani, the CEO of ABL Aviation.

0:27:35.280 --> 0:27:37.199
<v Speaker 1>He said he was at the show and putting some

0:27:37.320 --> 0:27:39.479
<v Speaker 1>orders there too, and he could come on and talk

0:27:39.520 --> 0:27:39.840
<v Speaker 1>about it.

0:27:39.880 --> 0:27:41.399
<v Speaker 6>So I was like, great, come in the studio.

0:27:41.440 --> 0:27:42.840
<v Speaker 1>He's in New York for one day only.

0:27:42.920 --> 0:27:43.600
<v Speaker 4>Oh, we got him.

0:27:43.640 --> 0:27:45.800
<v Speaker 1>We get him on set. Ali, thanks so much for

0:27:45.880 --> 0:27:49.480
<v Speaker 1>joining us. Tell us about the state of aviation in

0:27:49.520 --> 0:27:52.479
<v Speaker 1>terms of ordering a plane right now? How difficult is it?

0:27:52.720 --> 0:27:54.440
<v Speaker 1>You know, what are the prices like and when can

0:27:54.480 --> 0:27:58.680
<v Speaker 1>you expectually? When can you actually expect to get delivery?

0:27:58.880 --> 0:28:00.679
<v Speaker 11>Look at so much much we'll have being or pleasure.

0:28:01.040 --> 0:28:03.720
<v Speaker 11>It's always an issue, I think to get aircraft today.

0:28:03.920 --> 0:28:05.480
<v Speaker 11>As we said last time, we have seven years to

0:28:05.520 --> 0:28:07.960
<v Speaker 11>eight ys wait for both manufacturers.

0:28:07.400 --> 0:28:08.360
<v Speaker 3>Bowling go Evers.

0:28:08.520 --> 0:28:10.639
<v Speaker 11>You have some issues, of course with the engines. You

0:28:10.680 --> 0:28:12.440
<v Speaker 11>saw what's happened with pattern Witness. We have a few

0:28:12.440 --> 0:28:14.200
<v Speaker 11>issues on the engine side that we need to fix

0:28:14.200 --> 0:28:16.360
<v Speaker 11>and that's been fixed by the OEMs.

0:28:17.080 --> 0:28:18.120
<v Speaker 3>You saw Dubai.

0:28:17.800 --> 0:28:21.080
<v Speaker 11>Airshow last week was the biggest order since I was seventeen.

0:28:21.160 --> 0:28:24.000
<v Speaker 11>So the other book on in Dubai was insane. You

0:28:24.040 --> 0:28:26.960
<v Speaker 11>had emails that's made a huge order, fly Dubai. Ethiopian

0:28:27.040 --> 0:28:29.160
<v Speaker 11>made a big order. So there's a big demand. There's

0:28:29.200 --> 0:28:32.159
<v Speaker 11>not enough supply and that's the first issue. And Evan,

0:28:32.760 --> 0:28:35.040
<v Speaker 11>since a lot of aircraft during COVID got so tired,

0:28:35.200 --> 0:28:38.080
<v Speaker 11>it's extremely hard today for airlines to find aircraft that

0:28:38.120 --> 0:28:40.280
<v Speaker 11>they can operate, and that's one of the biggest issues.

0:28:40.280 --> 0:28:42.040
<v Speaker 11>We spoke about it last timer we were here. We

0:28:42.200 --> 0:28:44.360
<v Speaker 11>keep on seeing it more and more and even the

0:28:44.600 --> 0:28:47.760
<v Speaker 11>order like seventeen eight hundred and the classics are being

0:28:47.960 --> 0:28:50.200
<v Speaker 11>asked to come back to the markets because we need

0:28:50.240 --> 0:28:52.720
<v Speaker 11>them to fly them. And we see again during the

0:28:52.760 --> 0:28:54.800
<v Speaker 11>casemas season where there's a big need. You saw it

0:28:54.880 --> 0:28:56.920
<v Speaker 11>last summer we spoke about you guys going to Europe.

0:28:56.920 --> 0:28:59.200
<v Speaker 11>What was the cost of tickets was going high and

0:28:59.280 --> 0:29:02.440
<v Speaker 11>higher because of the demand and the lack of aircraft

0:29:02.520 --> 0:29:03.160
<v Speaker 11>being provided.

0:29:03.520 --> 0:29:07.120
<v Speaker 2>So I envision a desert in Arizona, New Mexico, and

0:29:07.200 --> 0:29:09.040
<v Speaker 2>a lot of seven thirty sevens. A lot of seven

0:29:09.120 --> 0:29:12.160
<v Speaker 2>fifty sevens are sitting out there because they were decommissioned

0:29:12.160 --> 0:29:15.840
<v Speaker 2>for whatever reason over whatever recent period of time. Can

0:29:15.920 --> 0:29:18.120
<v Speaker 2>I just go grab one of those planes and refurbishing

0:29:18.160 --> 0:29:19.080
<v Speaker 2>and put them back in the air.

0:29:19.400 --> 0:29:20.600
<v Speaker 3>It's not as easy as you think.

0:29:20.640 --> 0:29:22.280
<v Speaker 11>So if you want to get what we call an

0:29:22.320 --> 0:29:25.000
<v Speaker 11>aircraft a water again, you have a long process to

0:29:25.040 --> 0:29:27.360
<v Speaker 11>go again to put those aircraft back into service. You're

0:29:27.400 --> 0:29:29.480
<v Speaker 11>not going to just come and flies again. It needs

0:29:29.520 --> 0:29:31.479
<v Speaker 11>an inspection. It's need was we call an agyan inspection.

0:29:31.560 --> 0:29:33.719
<v Speaker 11>It needs a few inspections to get back, which are

0:29:33.840 --> 0:29:36.480
<v Speaker 11>very costly. So the difference between the cost of getting

0:29:36.480 --> 0:29:38.880
<v Speaker 11>it back and getting on your aircraft, that's why there's

0:29:38.920 --> 0:29:40.480
<v Speaker 11>not a bit hard to be made. And we saw

0:29:40.480 --> 0:29:42.800
<v Speaker 11>it in the last two to three years where the

0:29:42.880 --> 0:29:45.120
<v Speaker 11>cost of leasing to seventeen seven eight hundred on eighteen

0:29:45.200 --> 0:29:48.360
<v Speaker 11>twenty not a kno, but another generation went to the OOF.

0:29:48.480 --> 0:29:49.680
<v Speaker 3>It went so expensively.

0:29:49.720 --> 0:29:52.200
<v Speaker 11>So today if you lease in aircraft it's almost about

0:29:52.240 --> 0:29:54.680
<v Speaker 11>forty to fifty percent then it was a few years ago.

0:29:55.160 --> 0:29:57.760
<v Speaker 11>So there is a big demand, and that's unpacs. Of course,

0:29:57.800 --> 0:29:58.640
<v Speaker 11>the ticket spiices.

0:29:59.120 --> 0:30:01.800
<v Speaker 1>So by the way, the big order was for set

0:30:01.840 --> 0:30:04.280
<v Speaker 1>triple sevens, the seven seven seven. That's the amage order

0:30:04.320 --> 0:30:07.520
<v Speaker 1>that you're talking about seven x triple seven x, and

0:30:07.560 --> 0:30:09.160
<v Speaker 1>that's what it's a much bigger plane.

0:30:09.200 --> 0:30:09.320
<v Speaker 3>Right.

0:30:09.360 --> 0:30:11.239
<v Speaker 1>You like the single aisle, You like the seven three

0:30:11.320 --> 0:30:12.560
<v Speaker 1>sevens in the eight three twenties.

0:30:12.800 --> 0:30:14.200
<v Speaker 3>I like the twenties.

0:30:14.240 --> 0:30:15.800
<v Speaker 11>I love the eight to twenty, which is a single

0:30:15.960 --> 0:30:17.680
<v Speaker 11>the smallest one that delta opates a loss. We have

0:30:17.720 --> 0:30:19.920
<v Speaker 11>lots of them with delta on the airplanes. I love

0:30:20.000 --> 0:30:23.120
<v Speaker 11>this because it's very liquid. You can move them very quickly.

0:30:23.160 --> 0:30:26.360
<v Speaker 11>You can the cost of fixing them to Differense airlines

0:30:26.480 --> 0:30:28.840
<v Speaker 11>much less. If you need to have a white body

0:30:28.880 --> 0:30:31.040
<v Speaker 11>fisted against with the Differense airline, the cost is very high.

0:30:31.040 --> 0:30:32.600
<v Speaker 11>It was become most one to at least million of

0:30:32.680 --> 0:30:35.240
<v Speaker 11>dollars to make its fits for basics, to make it

0:30:35.320 --> 0:30:37.320
<v Speaker 11>fit to a new airline, versus when it's a smaller

0:30:37.360 --> 0:30:39.520
<v Speaker 11>one when all economy class I can move them very

0:30:39.560 --> 0:30:41.240
<v Speaker 11>quickly between one airline and another one.

0:30:42.000 --> 0:30:46.160
<v Speaker 2>What is the state of the oe MS, the Airbus

0:30:46.360 --> 0:30:49.520
<v Speaker 2>and the Boeing. Why are they having such a difficult

0:30:49.560 --> 0:30:51.000
<v Speaker 2>time ramping up production?

0:30:51.080 --> 0:30:53.360
<v Speaker 1>Yeah, I don't understand that, you know. I a couple

0:30:53.360 --> 0:30:56.160
<v Speaker 1>of years ago I ordered the Mercedes G five hundred

0:30:56.480 --> 0:30:59.280
<v Speaker 1>and it took about a year for them to make it.

0:30:59.400 --> 0:31:03.480
<v Speaker 1>Now they only had have one factory in Rocks in Austria, right,

0:31:03.520 --> 0:31:05.400
<v Speaker 1>So I get that, and they're not making more than

0:31:05.440 --> 0:31:10.080
<v Speaker 1>like twenty five thousand a year. These airline manufacturer airplane

0:31:10.080 --> 0:31:13.360
<v Speaker 1>manufacturers are like the biggest companies in the world. They

0:31:13.360 --> 0:31:16.680
<v Speaker 1>have factories all over the place. Why can't they just

0:31:17.040 --> 0:31:19.640
<v Speaker 1>get more people on there and make more metal.

0:31:19.760 --> 0:31:21.080
<v Speaker 11>Well, first of all, they don't have if you look

0:31:21.120 --> 0:31:23.080
<v Speaker 11>at Boingois, they don't have faxies all over the place.

0:31:23.080 --> 0:31:26.720
<v Speaker 11>They have certain amounts of factory, each assembly line, it's

0:31:27.000 --> 0:31:30.280
<v Speaker 11>a factories assembly line. Each assembly line have a certain

0:31:30.320 --> 0:31:31.720
<v Speaker 11>amount that they can produce every months.

0:31:32.440 --> 0:31:33.080
<v Speaker 3>It's seattle.

0:31:33.520 --> 0:31:35.960
<v Speaker 11>All of them have certain amounts that they can produce.

0:31:36.400 --> 0:31:39.320
<v Speaker 11>That's the first issue. So they can not over produce.

0:31:39.400 --> 0:31:41.760
<v Speaker 11>They produce what they can do. They're producing a max

0:31:42.120 --> 0:31:45.840
<v Speaker 11>of course max capacity. They're doing their best to supply

0:31:45.880 --> 0:31:47.760
<v Speaker 11>as much as they can. But the second issue that

0:31:47.800 --> 0:31:49.880
<v Speaker 11>you have to remember that it was a COVID start

0:31:50.040 --> 0:31:52.240
<v Speaker 11>doing COVID issue is a supply chain. And if you

0:31:52.280 --> 0:31:53.760
<v Speaker 11>look at all the supply chain, because you have to

0:31:53.760 --> 0:31:56.960
<v Speaker 11>remember EPs and Boeing assembler, the assemble everything that is

0:31:56.960 --> 0:32:00.120
<v Speaker 11>provided to them. So all the bug supply chain is

0:32:00.160 --> 0:32:03.680
<v Speaker 11>a big issue. So it's not only in aircraft. It's

0:32:03.800 --> 0:32:05.600
<v Speaker 11>as you said, in cars. If you want to other cars,

0:32:05.640 --> 0:32:09.080
<v Speaker 11>then especially in car Matt, there's a big issue of.

0:32:09.040 --> 0:32:09.560
<v Speaker 3>Finding a car.

0:32:09.600 --> 0:32:10.880
<v Speaker 11>If I tell you today go find a G four

0:32:10.920 --> 0:32:14.320
<v Speaker 11>hundred diesel, it's almost impossible to find because us the

0:32:14.360 --> 0:32:16.959
<v Speaker 11>guys saw this and the cost of a car on

0:32:17.080 --> 0:32:19.320
<v Speaker 11>aircraft is about twenty percent and before COVID.

0:32:19.760 --> 0:32:22.840
<v Speaker 1>Right, so you've seen that huge inflation amount as well.

0:32:22.920 --> 0:32:25.640
<v Speaker 1>What are margins like for you? I mean, does that

0:32:25.760 --> 0:32:28.360
<v Speaker 1>inflation eat into your margin or is the demand the

0:32:28.440 --> 0:32:30.240
<v Speaker 1>least aircraft still so strong.

0:32:30.560 --> 0:32:33.360
<v Speaker 11>The amount to these aircraft is very strong. There's a

0:32:33.360 --> 0:32:35.400
<v Speaker 11>big demand. But you have to remember all of us,

0:32:35.440 --> 0:32:37.200
<v Speaker 11>of course lovers, our deals.

0:32:37.240 --> 0:32:39.600
<v Speaker 3>We need to get debts. The cost of deaths is

0:32:39.640 --> 0:32:40.800
<v Speaker 3>what kills us.

0:32:40.800 --> 0:32:43.200
<v Speaker 11>I think on the deals because you have seventy eighty

0:32:43.200 --> 0:32:44.800
<v Speaker 11>percent of deaths on issue.

0:32:44.880 --> 0:32:46.480
<v Speaker 2>Where does that that come from? The regular the JP

0:32:46.560 --> 0:32:47.480
<v Speaker 2>Morgan chasing get one.

0:32:47.560 --> 0:32:49.440
<v Speaker 11>Yeah, JPYM Morgan is actually that market. So you have

0:32:49.480 --> 0:32:51.840
<v Speaker 11>two types of deaths. Of course, secured and secured deaths

0:32:52.120 --> 0:32:56.560
<v Speaker 11>on You have other the banks, the banks that come

0:32:56.600 --> 0:32:58.120
<v Speaker 11>and provide you a death on it. You know, all

0:32:58.160 --> 0:33:00.480
<v Speaker 11>the players from back of America to GIPM Morgan, the city,

0:33:00.520 --> 0:33:03.400
<v Speaker 11>to the Japanese banks, to the Chinese banks. And you

0:33:03.480 --> 0:33:05.480
<v Speaker 11>used to have which is a lot less active today,

0:33:05.600 --> 0:33:07.880
<v Speaker 11>the capital markets. So before that you can do an

0:33:07.920 --> 0:33:11.440
<v Speaker 11>ABS secuvization and use as capital markets money which was

0:33:11.480 --> 0:33:14.240
<v Speaker 11>at that time cheaper. As of today, the capital markets

0:33:14.280 --> 0:33:16.280
<v Speaker 11>for aviation is not very active for the last two years.

0:33:16.280 --> 0:33:17.920
<v Speaker 11>It used to be a lot more active on the

0:33:17.920 --> 0:33:19.840
<v Speaker 11>ABS side. I think in the next year or two

0:33:19.880 --> 0:33:21.960
<v Speaker 11>it might come back. But the capital markets was a

0:33:22.040 --> 0:33:24.280
<v Speaker 11>very competitive way of financing aircraft.

0:33:24.640 --> 0:33:26.120
<v Speaker 6>Is private credit does that play a.

0:33:26.120 --> 0:33:28.360
<v Speaker 3>Role, Yes, of course it's very active as well. Private credit.

0:33:28.520 --> 0:33:31.960
<v Speaker 11>Life insurance a lots of insurance life insurance companies land

0:33:32.000 --> 0:33:35.000
<v Speaker 11>because the leases are seven years, eights, twelve, years. So

0:33:35.000 --> 0:33:37.760
<v Speaker 11>it's much as the maturity of the insurance the life

0:33:37.800 --> 0:33:38.520
<v Speaker 11>insurance companies.

0:33:38.960 --> 0:33:41.560
<v Speaker 2>We heerd from some of the just folks in the

0:33:41.600 --> 0:33:43.920
<v Speaker 2>industry that India is going to be is a big

0:33:43.960 --> 0:33:46.240
<v Speaker 2>growth market, will continue to be a huge buyer of

0:33:46.280 --> 0:33:48.560
<v Speaker 2>aircraft as they look to expand their fleet. Are you

0:33:48.600 --> 0:33:48.920
<v Speaker 2>seeing that?

0:33:49.120 --> 0:33:51.360
<v Speaker 11>Well, if you see the last order, this was a

0:33:51.760 --> 0:33:54.400
<v Speaker 11>four months ago of Erindio, it was the biggest order

0:33:54.440 --> 0:33:55.880
<v Speaker 11>was ever made. I think it was aboust five hundred

0:33:55.880 --> 0:33:59.360
<v Speaker 11>acap that the orders. Wow, so that order was huge.

0:34:00.640 --> 0:34:03.320
<v Speaker 11>Look India, with a few airlines out there is an

0:34:03.320 --> 0:34:06.320
<v Speaker 11>amazing jurisdiction you can lease aircraft that The issue that

0:34:06.400 --> 0:34:08.760
<v Speaker 11>you have with India is how do you process aircrafts?

0:34:08.760 --> 0:34:10.640
<v Speaker 11>Because in aviation you have what you call a cape

0:34:10.680 --> 0:34:13.640
<v Speaker 11>town counties. So those countries that signed the Keep County

0:34:13.840 --> 0:34:15.760
<v Speaker 11>Kept On treaty allows.

0:34:15.400 --> 0:34:17.320
<v Speaker 3>You to a process with aircraft process.

0:34:17.440 --> 0:34:20.160
<v Speaker 11>Yes, it's similar to Chapter eleven kind of treaty where

0:34:20.160 --> 0:34:22.840
<v Speaker 11>you can go to those counties and they possess those.

0:34:23.600 --> 0:34:25.840
<v Speaker 2>So if an airline doesn't make its least payment to you,

0:34:25.840 --> 0:34:28.080
<v Speaker 2>you can literally go to that country and repossess exactly.

0:34:28.080 --> 0:34:30.560
<v Speaker 3>Okay, But in India it's it's harder.

0:34:30.840 --> 0:34:32.960
<v Speaker 11>I don't believe as of yet they're not the signature

0:34:33.040 --> 0:34:33.880
<v Speaker 11>of the Cape Son treaty.

0:34:33.880 --> 0:34:35.400
<v Speaker 3>You need to check, but I don't think they are.

0:34:35.640 --> 0:34:37.560
<v Speaker 11>So that's harder on those countries that didn't sign the

0:34:37.640 --> 0:34:40.040
<v Speaker 11>kept creaty to go poss aircraft. That's the hardest part

0:34:40.200 --> 0:34:42.120
<v Speaker 11>was if someone doesn't make payments, similar to a car

0:34:42.120 --> 0:34:44.960
<v Speaker 11>in America, you goss car and leads it to someone else.

0:34:44.960 --> 0:34:47.319
<v Speaker 11>That's what's in aviation. You can move it from one

0:34:47.360 --> 0:34:50.080
<v Speaker 11>airline to one airline. It's a chapter eleven. You do oppossession,

0:34:50.320 --> 0:34:53.000
<v Speaker 11>you fix the corw the aircraft and new movies?

0:34:53.360 --> 0:34:54.640
<v Speaker 2>Can you what is China?

0:34:54.800 --> 0:34:54.920
<v Speaker 8>Is that?

0:34:55.040 --> 0:34:55.760
<v Speaker 4>Are they signatory?

0:34:56.200 --> 0:34:56.359
<v Speaker 8>Yeah?

0:34:58.000 --> 0:34:59.200
<v Speaker 3>It changes on the monthly day.

0:34:59.239 --> 0:35:02.319
<v Speaker 1>I know that Russia, the Russian War in Ukraine through

0:35:02.360 --> 0:35:04.600
<v Speaker 1>kind of a wrench into that in terms of that region.

0:35:06.080 --> 0:35:11.640
<v Speaker 1>What has the Middle East been like since Hamas the

0:35:11.680 --> 0:35:13.400
<v Speaker 1>Hamas Israel conflicts started?

0:35:13.440 --> 0:35:13.759
<v Speaker 3>Has that?

0:35:13.960 --> 0:35:15.400
<v Speaker 1>Has that been notable?

0:35:15.600 --> 0:35:17.200
<v Speaker 6>In the business.

0:35:17.080 --> 0:35:22.480
<v Speaker 11>Innoviation within nices? You know most airlines Ivan what doing

0:35:22.520 --> 0:35:25.560
<v Speaker 11>the best. If you look at Emirates flight by all

0:35:25.600 --> 0:35:28.480
<v Speaker 11>the airlines Indision are very active avail operations like the

0:35:28.760 --> 0:35:31.839
<v Speaker 11>p officer advantages and those airlines are really booming, so

0:35:31.880 --> 0:35:33.120
<v Speaker 11>there's no impact.

0:35:33.440 --> 0:35:34.480
<v Speaker 3>If we look at.

0:35:34.200 --> 0:35:37.560
<v Speaker 11>One of our clients in Israel, yes there's little bits

0:35:37.560 --> 0:35:40.000
<v Speaker 11>of umpacts, but l Al was very open with us.

0:35:40.360 --> 0:35:42.799
<v Speaker 11>They tell us every day what's going on. They give

0:35:42.880 --> 0:35:46.040
<v Speaker 11>us a feedback. The government is supportive, so Havan. For

0:35:46.480 --> 0:35:48.399
<v Speaker 11>one of our clients, which is l in Israel, which

0:35:48.640 --> 0:35:52.000
<v Speaker 11>with whom we have five seventy sevens, they're very open.

0:35:52.200 --> 0:35:56.240
<v Speaker 11>They tell us everything and they will always open in business.

0:35:56.320 --> 0:35:58.799
<v Speaker 11>They always told us during COVID about payments, how to

0:35:58.840 --> 0:36:01.480
<v Speaker 11>fix it. So the rection with is amazing, the very

0:36:01.640 --> 0:36:03.000
<v Speaker 11>open airlines to work with.

0:36:03.200 --> 0:36:04.920
<v Speaker 6>But how closely are you watching that?

0:36:04.960 --> 0:36:08.920
<v Speaker 1>I mean if things broaden out to eleven and Syria,

0:36:09.080 --> 0:36:13.719
<v Speaker 1>if God forbid, Iran gets involved, I mean it's going

0:36:13.760 --> 0:36:16.080
<v Speaker 1>to be difficult for every business, but.

0:36:15.960 --> 0:36:19.239
<v Speaker 11>Not only aviation. And look, Mattwinami, I'm a very optimistic guy.

0:36:19.280 --> 0:36:21.560
<v Speaker 11>I hope that this will never happen. I hope that

0:36:21.760 --> 0:36:23.520
<v Speaker 11>people will come back to the reason and it will

0:36:23.520 --> 0:36:26.359
<v Speaker 11>be fixed. You know, as a guy from local that's

0:36:26.480 --> 0:36:29.279
<v Speaker 11>the business. Of course, with all religions, I think that

0:36:29.400 --> 0:36:31.440
<v Speaker 11>it's just a political thing and I hope you to stop.

0:36:32.080 --> 0:36:34.799
<v Speaker 11>I don't believe on the long term, it's a good

0:36:34.800 --> 0:36:36.240
<v Speaker 11>thing for any of us, and not only in aviation.

0:36:36.239 --> 0:36:38.399
<v Speaker 3>It will be an umpact for everything. So I really

0:36:38.400 --> 0:36:39.360
<v Speaker 3>hope to stop.

0:36:39.120 --> 0:36:42.880
<v Speaker 11>And it will have If that's happened, it will have

0:36:42.920 --> 0:36:45.080
<v Speaker 11>a lot more impacts than the OSHA can in my

0:36:45.160 --> 0:36:48.040
<v Speaker 11>view for aviation. So because the vision is very sensitive,

0:36:48.200 --> 0:36:50.440
<v Speaker 11>it's in the middle between Asia and Europe. It's a

0:36:50.440 --> 0:36:53.160
<v Speaker 11>Asian that is extremely important for us in aviation in business.

0:36:53.520 --> 0:36:56.719
<v Speaker 11>So my hope is that it will stop and come soon.

0:36:56.719 --> 0:36:58.479
<v Speaker 2>And all right, Ali, thank you so much for joining

0:36:58.520 --> 0:37:01.080
<v Speaker 2>us here again, Ali Ben l Madonna. He's the CEO

0:37:01.160 --> 0:37:04.720
<v Speaker 2>of a bl Aviation gives us a good view into

0:37:04.760 --> 0:37:07.359
<v Speaker 2>the world of aviation and aviation fans.

0:37:08.880 --> 0:37:11.960
<v Speaker 1>Thanks for listening to the Bloomberg Markets podcasts. You can

0:37:12.000 --> 0:37:15.800
<v Speaker 1>subscribe and listen to interviews at Apple Podcasts or whatever

0:37:15.880 --> 0:37:19.600
<v Speaker 1>podcast platform you prefer. I'm Matt Miller. I'm on Twitter

0:37:19.800 --> 0:37:21.719
<v Speaker 1>at Matt Miller nineteen seventy three.

0:37:22.160 --> 0:37:24.560
<v Speaker 2>And I'm Faull Sweeney. I'm on Twitter at pt Sweeney.

0:37:24.680 --> 0:37:27.319
<v Speaker 2>Before the podcast, you can always catch us worldwide at

0:37:27.360 --> 0:37:29.120
<v Speaker 2>Bloomberg Radio.