WEBVTT - OpenAI Closes Door on CEO Sam Altman

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<v Speaker 4>All Right, they're out there, may be back in.

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<v Speaker 5>They're not.

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<v Speaker 4>They're now hired by Microsoft the streaming services already battling. Probably,

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<v Speaker 4>I'm guessing to tell this high tech, high stake story.

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<v Speaker 4>We are, of course, talking about the Palace coup that

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<v Speaker 4>all began on Friday, led to the firing of open

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<v Speaker 4>ai co founders Sam Altman and Greg Brockman, which led

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<v Speaker 4>to so many questions, led to open AI's biggest shareholder

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<v Speaker 4>and closest technology partner, Microsoft, then tim hiring the two

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<v Speaker 4>to lead its new in house advanced artificial intelligence research team.

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<v Speaker 1>And then you have the hundreds of open ai employees,

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<v Speaker 1>including the board member that did the actual firing, then

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<v Speaker 1>signing a letter to say that they were going to leave.

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<v Speaker 1>So you have more than seven hundred of the employees

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<v Speaker 1>at open.

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<v Speaker 5>Ai, basically just about everybody, almost everybody.

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<v Speaker 4>You can't see this on radio, guys, but for those

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<v Speaker 4>who are on YouTube and Bloomberger originals, these are just

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<v Speaker 4>some of the stories that I had printed out covering

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<v Speaker 4>everything to do with open Ai.

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<v Speaker 1>Do you know who spent a lot of his weekend

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<v Speaker 1>writing those stories?

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<v Speaker 3>Old Man?

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<v Speaker 5>Thank god he did, because he's going to keep us

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<v Speaker 5>all honest on this story.

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<v Speaker 6>Yeah.

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<v Speaker 1>He's a one man band and a key player to

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<v Speaker 1>our incredible tech team that has worked all weekend to

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<v Speaker 1>stay on top of the story. Carol, we got Ed Ludlow,

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<v Speaker 1>co host of Bloomberg Technology, joining us on zoom from

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<v Speaker 1>San Francisco.

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<v Speaker 5>All right, so Ed, let's cut to the chase.

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<v Speaker 4>I'm trying to think, what's the way to think about

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<v Speaker 4>this story that I feel like we have to constantly

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<v Speaker 4>check the headlines to see what's the latest.

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<v Speaker 5>How are you thinking about it?

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<v Speaker 7>Here?

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<v Speaker 5>We are at three h nine Wall Street time on

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<v Speaker 5>a Monday.

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<v Speaker 8>Yeah, it is a full mutiny within the world's most

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<v Speaker 8>important AI company that is completely unresolved and has massive

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<v Speaker 8>repercussions for public markets viz. Of v Microsoft, but also

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<v Speaker 8>private markets. You know, there's just hundreds of millions of

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<v Speaker 8>dollars in real time hanging in the balance on open

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<v Speaker 8>AI shares, And we can get into that. But let's

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<v Speaker 8>say I've spoken to one hundred people in the last

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<v Speaker 8>seventy two hours, and this is an unprecedented story in

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<v Speaker 8>the history of Silicon Valley in how it played out,

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<v Speaker 8>what happened, and just how much of it is frankly unresolved.

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<v Speaker 8>And I guess we could get to that too.

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<v Speaker 1>Okay, So let's we're going to get to where the

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<v Speaker 1>company is valued and what happened to the share sales

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<v Speaker 1>and the money sort of being held up that's supposed

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<v Speaker 1>to come from Thrive and other vcs at this point.

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<v Speaker 1>But first I want to start with the basic said,

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<v Speaker 1>why did What do we know about why Sam Altman

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<v Speaker 1>got the boot on Friday?

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<v Speaker 8>Yeah, we honestly don't know why. Open ai had a

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<v Speaker 8>very small has still there a very small four person board.

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<v Speaker 8>That board issued a statement saying around Friday lunch time

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<v Speaker 8>and by the way, I was at a restaurant having

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<v Speaker 8>lunch with an open ai investor. It broke and you

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<v Speaker 8>you know, yeah, that was a crazy moment in my career.

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<v Speaker 8>You can only imagine.

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<v Speaker 5>Anyway, was the person was the person shocked?

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<v Speaker 8>We both boxed our food and ran for it, physically

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<v Speaker 8>ran and as you guys know, I was on TV

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<v Speaker 8>with a minute. But listen. The board said it had

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<v Speaker 8>lost confidence in Sam Altman based on his sort of

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<v Speaker 8>less than candid communications with the board, without elaborating further.

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<v Speaker 8>On Saturday morning, bradl like Cap, who is the COO

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<v Speaker 8>of open ai and remains COO of open Ai, issued

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<v Speaker 8>a memo to staff saying that this was a breakdown

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<v Speaker 8>in a communication between Sam Outman and that four person board,

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<v Speaker 8>but there was no element of malfeasance. That's the language used.

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<v Speaker 8>What we know from sources is that there is some

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<v Speaker 8>sort of philosophical disagreement here. Sam Altman is a product guy.

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<v Speaker 8>He is about getting that generative AI technology into the

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<v Speaker 8>real world, charging money for it, getting it into the

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<v Speaker 8>hands of consumers and enterprises. The board, the four of

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<v Speaker 8>them are largely academics who recognize an existential threat from

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<v Speaker 8>AI posed to humanity and that there's a point of

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<v Speaker 8>difference there somewhere along the way. But we don't know

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<v Speaker 8>more than that. There's so much more to be unveiled.

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<v Speaker 4>Well it makes you wonder, okay, so you know, it

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<v Speaker 4>makes me kind of nervous that the board wasn't able

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<v Speaker 4>to maybe talk to it CEO right before doing this.

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<v Speaker 4>Help me out, wait, go ahead, yeah, right, Well.

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<v Speaker 8>The chronology of it is astonishing. Sources say Sam Outman

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<v Speaker 8>found out he was being fired as CEO minutes before

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<v Speaker 8>he was fired as CEO. Mirror Morati, who was that

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<v Speaker 8>then the CTO was informed the night before of what

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<v Speaker 8>was going to happen and that she would become acting CEO.

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<v Speaker 8>And what's astonishing, you know, Ashley Vance, our dear colleague

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<v Speaker 8>Business Week, myself, people like Dina Bass, Emily Chang, you know,

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<v Speaker 8>we were hearing pretty early on Saturday and Sunday, then

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<v Speaker 8>into Sunday afternoon that the board was digging in. They

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<v Speaker 8>were like, no, we're not caving, We're going to hire

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<v Speaker 8>a new CEO. But the messages from the Sam Oltman

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<v Speaker 8>side were like, right up until the last minute last night,

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<v Speaker 8>Sam's coming back as CEO, and the net result is

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<v Speaker 8>that Sam has left joined Microsoft and we have a

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<v Speaker 8>new interim CEO open AI. I'm just trying to give

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<v Speaker 8>some sense of like, yeah, how all of this just

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<v Speaker 8>played in real time and it's ramid. Yeah, it was rapid,

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<v Speaker 8>but also everyone was wrong. You know everyone, the investors

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<v Speaker 8>that were trying to get Sam Altman back in the

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<v Speaker 8>CEO role were adamant that it was going to happen.

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<v Speaker 8>Satya Nadella, who's the Microsoft CEO, was playing the peace broker,

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<v Speaker 8>the middle man, doing everything that he could to put

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<v Speaker 8>Sam Altman back. Yeah, but my understanding is the board

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<v Speaker 8>they just didn't pick up the phone.

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<v Speaker 1>I mean, I went to bed last night ed thinking

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<v Speaker 1>that Sam Altman would be back at open AI. After all,

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<v Speaker 1>he tweeted out that photo of him at headquarters yesterday

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<v Speaker 1>wearing the badge thing. It's the first and last time

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<v Speaker 1>I'm going to be wearing this everyone thought, you know,

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<v Speaker 1>because it was a visitor's badge. So then I wake

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<v Speaker 1>up this morning and find out that he's at Microsoft.

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<v Speaker 1>Let's go back to the I mean it I kind

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<v Speaker 1>of had to like check read it twice. I was like,

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<v Speaker 1>what is going on here? Go back to philosophical differences here,

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<v Speaker 1>because that's a big part of this story is the

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<v Speaker 1>way that people think AI will play a role in

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<v Speaker 1>our lives in humanity moving forward. Yes, where does Sam

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<v Speaker 1>Altman find himself? And where do others find themselves? And

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<v Speaker 1>where's the rift?

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<v Speaker 8>So he finds himself at odds with the board. I mean,

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<v Speaker 8>that's kind of part of why we're here. And the

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<v Speaker 8>way to answer that question is to reflect on what happens.

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<v Speaker 8>So Emmit Sheer was installed late last night as interim

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<v Speaker 8>CEO of Open AI. And what sources told me and

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<v Speaker 8>we reported is that a reason he was installed as

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<v Speaker 8>interim CEO was that he shared with the board a

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<v Speaker 8>recognition that advanced artificial intelligence does pose an existential threat,

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<v Speaker 8>an ex threat to humankind otherwise known in layman's terms.

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<v Speaker 8>That's what it means. I'm not going to go down

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<v Speaker 8>the whole EA route. And he shared that in common

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<v Speaker 8>with the board, while also the board recognized that he

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<v Speaker 8>was the Twitch CEO as recently as earlier this year, right,

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<v Speaker 8>they felt that he could run a very large engineering team.

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<v Speaker 8>And again I reiterate, we actually have no idea why

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<v Speaker 8>the real reasons why the board fired Sam other than

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<v Speaker 8>there was concern at how quickly he was commercializing that AI.

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<v Speaker 4>So how important is Sam to open AI? He's one

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<v Speaker 4>of the co founders.

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<v Speaker 8>How the question, Yeah, yeah, that's it. I think that, Yeah,

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<v Speaker 8>go ahead, sorry, who.

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<v Speaker 5>Owns the IP?

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<v Speaker 4>Like I think about that intellectual property that has so long,

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<v Speaker 4>so far been developed that Microsoft has ponied up or

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<v Speaker 4>promised you some ten billion dollars in it?

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<v Speaker 5>Who owns that?

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<v Speaker 8>So it's complicated. Microsoft literally owns forty nine percent of

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<v Speaker 8>the incorporated four prop open AI, which is governed by

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<v Speaker 8>not for profit board on which Microsoft does not sit.

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<v Speaker 8>The basic answer is that the intellectual property is the current,

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<v Speaker 8>prior and future generations of large language model. But this

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<v Speaker 8>is the story, and the story of the last twenty

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<v Speaker 8>four or to forty eight hours has been key man

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<v Speaker 8>risk that investors suddenly started to recognize that if you

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<v Speaker 8>took out Sam Altman, who is responsible for the products

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<v Speaker 8>flying around the world, talking to policymakers, attracting the top

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<v Speaker 8>talent and the investors, and all of the data scientists

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<v Speaker 8>who matter, are willing to leave with him. Then what's

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<v Speaker 8>left over is that open ai does not have any value.

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<v Speaker 8>The intellectual property and value is in those eggheads forgive

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<v Speaker 8>the phrase that are running the place. That's what's happening here.

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<v Speaker 1>So we have about thirty seconds left, said Microsoft, What

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<v Speaker 1>does he do at Microsoft? Because he just tweeted that

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<v Speaker 1>his priority is to continue development and open ai and

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<v Speaker 1>that's the reason why he's at Microsoft.

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<v Speaker 5>And kiddo, just got about thirty or thirty five seconds.

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<v Speaker 8>Yeah, the door is absolutely open to Sam Altman going

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<v Speaker 8>back to open ai. Investors are still trying to make

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<v Speaker 8>that happen. My understand is the paperwork ain't signed to

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<v Speaker 8>make Sam bind it to Microsoft, and I'm pretty sure

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<v Speaker 8>Microsoft will be okay with an outcome where Sam went back.

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<v Speaker 8>We just don't know, so you might not.

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<v Speaker 5>Get sleep tonight. Is that basically a kiddo.

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<v Speaker 9>Oh, I know, I wish listen.

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<v Speaker 4>I know, I know, but we so appreciate all the

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<v Speaker 4>reporting you and the team have done because You've kept

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<v Speaker 4>us smart, honest, and just up to date on this

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<v Speaker 4>very rapidly moving and still moving story.

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<v Speaker 5>Ed Ludlow, Yeah, yeah, you are the best. Take an

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<v Speaker 5>app at least twenty minutes.

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<v Speaker 4>It revives at Ludlow, co host of Bloomberg Technology on

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<v Speaker 4>Zoom from San Francisco. Folks, We're not going away from

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<v Speaker 4>this story. Still more to come read here on Bloomberg

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<v Speaker 4>business Week.

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<v Speaker 3>If you're listening to the Bloomberg Business Week podcast, catch

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<v Speaker 3>us live weekday afternoons from three to six Eastern Listen

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<v Speaker 3>on Bloomberg dot com, the iHeartRadio app, and the Bloomberg

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<v Speaker 3>Business app, or want us live on YouTube.

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<v Speaker 4>Staying with the story of the day, Microsoft hit a

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<v Speaker 4>new all time high after the software giant hired open

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<v Speaker 4>ai co founder Sam Altman and Greg Brockman to lead

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<v Speaker 4>its new in house advanced artificial intelligence research team.

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<v Speaker 5>We were just talking about this with our own ed

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<v Speaker 5>Luve Love.

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<v Speaker 1>Okay, so if you're just getting up to speed, remember

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<v Speaker 1>Microsoft is open AI's biggest shareholder and closest tech partner,

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<v Speaker 1>made at least ten billion dollar investment in the company.

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<v Speaker 1>The news at the start of the year is really

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<v Speaker 1>what got us all talking about chat, GPT and generative AI.

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<v Speaker 1>Microsoft certainly has its own AI initiatives. Google is aggressively

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<v Speaker 1>working on it. Tesla does a lot with AI, so

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<v Speaker 1>are others with more We got with us Crawford Delprett,

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<v Speaker 1>President of IDC, the global research, analysis and advisory firm

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<v Speaker 1>for information technology, telecom and consumer tech markets. Crawford joined

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<v Speaker 1>us on Zoom from Massachusetts. Hey, Crawford, give us an

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<v Speaker 1>idea of your reaction when this broke on Friday. This

0:11:53.600 --> 0:11:55.480
<v Speaker 1>is a world that you are deeply enmeshed in. What

0:11:55.520 --> 0:11:56.440
<v Speaker 1>were your first thoughts?

0:11:57.920 --> 0:12:00.880
<v Speaker 7>Yeah, Oh my god, Hey Tim, how are you guys?

0:12:01.200 --> 0:12:03.520
<v Speaker 7>This was a this was a moment, and this is

0:12:03.520 --> 0:12:05.680
<v Speaker 7>a moment in tech. It was kind of a head

0:12:05.679 --> 0:12:09.520
<v Speaker 7>scratcher in terms of how open AI could think this way,

0:12:09.600 --> 0:12:12.240
<v Speaker 7>how they could think about making this rational move, and

0:12:12.559 --> 0:12:16.440
<v Speaker 7>really how the dominoes were all lined up for if

0:12:16.480 --> 0:12:20.760
<v Speaker 7>you make this move without really a concrete vision to

0:12:20.800 --> 0:12:23.079
<v Speaker 7>be able to communicate why you're going in that direction,

0:12:23.520 --> 0:12:26.840
<v Speaker 7>how you could end up in a situation like we're

0:12:26.840 --> 0:12:29.959
<v Speaker 7>in right now, where you've got employees revolting, where you've

0:12:29.960 --> 0:12:31.880
<v Speaker 7>got management shake up, and then where you've got a

0:12:31.920 --> 0:12:36.720
<v Speaker 7>possibility that Sam could end up in a in a

0:12:36.880 --> 0:12:40.120
<v Speaker 7>different place, or in maybe a place where you know,

0:12:40.160 --> 0:12:41.679
<v Speaker 7>he could be very, very happy and do a lot

0:12:41.720 --> 0:12:42.480
<v Speaker 7>of things going forward.

0:12:42.559 --> 0:12:44.920
<v Speaker 4>It has such a cinematic feel to it. Crawford, You

0:12:45.320 --> 0:12:48.760
<v Speaker 4>guys advise, you do research, you do analysis. Are your

0:12:48.760 --> 0:12:51.319
<v Speaker 4>clients calling you off the hook and just saying, hey, folks,

0:12:51.400 --> 0:12:53.040
<v Speaker 4>it's way too early to kind of figure out what

0:12:53.280 --> 0:12:54.920
<v Speaker 4>the longer term narrative is here?

0:12:56.080 --> 0:12:58.600
<v Speaker 7>Of course, Yeah. I mean, I think there's a lot

0:12:58.760 --> 0:13:02.480
<v Speaker 7>of need to under stand and people trying to absorb this.

0:13:02.840 --> 0:13:06.320
<v Speaker 7>But I think that you know, long term, this is

0:13:06.600 --> 0:13:12.160
<v Speaker 7>a time where the future of tech is really on

0:13:12.200 --> 0:13:14.920
<v Speaker 7>the table. And this is not uncommon. This is not

0:13:15.000 --> 0:13:17.560
<v Speaker 7>unlike what we saw in the two thousand time frame

0:13:18.000 --> 0:13:20.520
<v Speaker 7>leading up where we had Netscape and we had we

0:13:20.559 --> 0:13:22.680
<v Speaker 7>had Explorer, and we had the sort of the future

0:13:22.679 --> 0:13:24.840
<v Speaker 7>of the web or not like we saw and not

0:13:24.920 --> 0:13:26.760
<v Speaker 7>unlike what we saw in twenty ten with the web

0:13:26.760 --> 0:13:29.600
<v Speaker 7>two dot zero companies, where you had salesforce accelerating and

0:13:29.640 --> 0:13:32.360
<v Speaker 7>you had the cloud accelerating. I think everyone knows that,

0:13:32.440 --> 0:13:35.400
<v Speaker 7>all customers know that the pieces as they move around

0:13:35.480 --> 0:13:39.000
<v Speaker 7>right now are going to form the next decade or

0:13:39.120 --> 0:13:42.200
<v Speaker 7>more of tech, and so I think people are just

0:13:42.280 --> 0:13:45.280
<v Speaker 7>sort of watching how this ultimately plays out, but knowing

0:13:45.559 --> 0:13:49.520
<v Speaker 7>that probably the landscape a tech has changed dramatically for

0:13:49.720 --> 0:13:50.520
<v Speaker 7>a decade or more.

0:13:50.720 --> 0:13:52.480
<v Speaker 1>He I want to bring in Rachel Metz. She's Bloomberg

0:13:52.520 --> 0:13:56.160
<v Speaker 1>News AI reporter. She joins us on zoom from San Francisco. Rachel,

0:13:56.400 --> 0:13:58.680
<v Speaker 1>you were up all weekend covering this story. We read

0:13:58.679 --> 0:14:00.320
<v Speaker 1>so much of your coverage and the pre shit. You're

0:14:00.360 --> 0:14:02.320
<v Speaker 1>joining us today. I want to go back to what

0:14:02.360 --> 0:14:04.920
<v Speaker 1>Crawford just said that the future of this tech is

0:14:04.960 --> 0:14:08.000
<v Speaker 1>at stake right now. Give us your interpretation of what

0:14:08.040 --> 0:14:10.319
<v Speaker 1>that means and sort of where the chips lie right now,

0:14:10.360 --> 0:14:13.600
<v Speaker 1>who has what and who can do and like who

0:14:13.640 --> 0:14:15.280
<v Speaker 1>can use that for what tech?

0:14:17.040 --> 0:14:17.240
<v Speaker 3>Yeah.

0:14:17.360 --> 0:14:20.200
<v Speaker 9>No, that's an issue that I think a lot of

0:14:20.240 --> 0:14:21.000
<v Speaker 9>people and a lot.

0:14:20.880 --> 0:14:23.280
<v Speaker 5>Of other companies are thinking about right now.

0:14:23.640 --> 0:14:27.000
<v Speaker 9>Open ai is by many consid to be the leader

0:14:27.240 --> 0:14:30.720
<v Speaker 9>in for the hottest AI right now. A lot of

0:14:31.040 --> 0:14:33.960
<v Speaker 9>large language models, generative AI in general. Open ai has

0:14:34.000 --> 0:14:37.600
<v Speaker 9>looked to as a leader. So all these employees, like

0:14:37.640 --> 0:14:39.640
<v Speaker 9>over ninety percent of the company as of this morning,

0:14:39.640 --> 0:14:43.000
<v Speaker 9>had signed a letter saying, if you don't go with

0:14:43.120 --> 0:14:46.840
<v Speaker 9>our demands, we're going to may, we may leave the

0:14:46.840 --> 0:14:49.280
<v Speaker 9>company to fect Microsoft. Then it's a little unclear what

0:14:49.320 --> 0:14:52.920
<v Speaker 9>happens to the company technology now and in the future.

0:14:53.480 --> 0:14:55.680
<v Speaker 4>Well, how do you Rachel, as someone who's been covering

0:14:55.680 --> 0:14:58.120
<v Speaker 4>AI for us since we all went like crazy over

0:14:58.160 --> 0:15:02.600
<v Speaker 4>it earlier this year initial Microsoft investment news, You know,

0:15:02.600 --> 0:15:04.760
<v Speaker 4>it just made us sit up and take notice all

0:15:04.760 --> 0:15:06.960
<v Speaker 4>of a sudden, like, wait, what is this? How did

0:15:07.000 --> 0:15:10.200
<v Speaker 4>we miss it? Having said that let's take the longer lens?

0:15:10.280 --> 0:15:12.760
<v Speaker 4>Can we take the longer lens? As you watch the

0:15:12.840 --> 0:15:16.000
<v Speaker 4>development of AI and its impact on this world, you

0:15:16.040 --> 0:15:19.160
<v Speaker 4>know this philosophical debate that seems to be going on

0:15:19.360 --> 0:15:22.920
<v Speaker 4>internally at open AI about the concerns the academics on

0:15:22.960 --> 0:15:26.760
<v Speaker 4>the board, the worry over its impact versus so many

0:15:26.840 --> 0:15:29.040
<v Speaker 4>out there. We talked to so many different CEOs and

0:15:29.120 --> 0:15:32.080
<v Speaker 4>leaders about the potential of how it can, in a

0:15:32.280 --> 0:15:34.960
<v Speaker 4>positive way maybe transform our world.

0:15:36.560 --> 0:15:40.040
<v Speaker 9>Yeah, that's a conflict that's been brewing for a while

0:15:40.280 --> 0:15:43.840
<v Speaker 9>in AI in general. And I mean there's that's kind

0:15:43.840 --> 0:15:46.320
<v Speaker 9>of it's kind of an interesting thing for technology, right because,

0:15:46.360 --> 0:15:48.760
<v Speaker 9>as you were sort of getting at there, we often

0:15:48.800 --> 0:15:52.600
<v Speaker 9>think of technology, the tech industry as wanting to crush

0:15:52.600 --> 0:15:55.680
<v Speaker 9>ahead as fast as possible, make things you know more

0:15:55.720 --> 0:15:58.200
<v Speaker 9>in more advance, Like every time there's a new iPhone

0:15:58.240 --> 0:16:00.280
<v Speaker 9>that you want, you know, the latest feature is what's

0:16:00.280 --> 0:16:03.720
<v Speaker 9>happening now? Whereas when we're sending to see some people

0:16:03.760 --> 0:16:07.760
<v Speaker 9>that are connected to AI and the AI research say

0:16:08.120 --> 0:16:10.720
<v Speaker 9>maybe we's just slow down or maybe we need to

0:16:10.760 --> 0:16:13.200
<v Speaker 9>slow down and some of that scene that sounds reasonable

0:16:13.240 --> 0:16:16.560
<v Speaker 9>to some people, and some of it sounds ridiculous depending

0:16:16.600 --> 0:16:18.520
<v Speaker 9>on what kind of arguments they're making for why they

0:16:18.520 --> 0:16:19.400
<v Speaker 9>want to slow intown.

0:16:19.480 --> 0:16:21.360
<v Speaker 1>Hey, Crawford Delpratt, come on back in here, and I

0:16:21.400 --> 0:16:24.120
<v Speaker 1>want to stay on the philosophical side of things. I mean,

0:16:24.480 --> 0:16:26.800
<v Speaker 1>there's sort of a couple of different camps right here

0:16:26.840 --> 0:16:30.920
<v Speaker 1>about people's concerns when it comes to AI. Some people said, hey,

0:16:30.960 --> 0:16:34.440
<v Speaker 1>we do, including Elon Musk, we do not want machines

0:16:34.520 --> 0:16:39.920
<v Speaker 1>to become essentially more powerful, more powerful and smarter than

0:16:40.000 --> 0:16:42.200
<v Speaker 1>human beings. On the other side, there are people who say,

0:16:42.200 --> 0:16:44.040
<v Speaker 1>wait a second, that's not something we actually need to

0:16:44.080 --> 0:16:47.440
<v Speaker 1>worry about. How do you characterize these two different sides, Like,

0:16:47.680 --> 0:16:50.080
<v Speaker 1>play out the worst case scenario for me about what

0:16:50.120 --> 0:16:50.760
<v Speaker 1>this could look like.

0:16:52.160 --> 0:16:56.240
<v Speaker 7>Well, the worst case scenario is that you've got machines

0:16:56.320 --> 0:17:02.360
<v Speaker 7>making decisions at scale and humans reacting to those to

0:17:02.360 --> 0:17:05.720
<v Speaker 7>to to to those decisions and not being able to

0:17:06.520 --> 0:17:12.120
<v Speaker 7>govern second guess, you know, be able to stop bad actors,

0:17:12.960 --> 0:17:17.440
<v Speaker 7>humans be not being able to discern what's reality versus

0:17:17.520 --> 0:17:19.720
<v Speaker 7>what's not. Think about social media, how you get people

0:17:19.720 --> 0:17:23.000
<v Speaker 7>spun up with fake images, images that look real but

0:17:23.040 --> 0:17:25.800
<v Speaker 7>they're but but they're not. You know, these are all

0:17:26.119 --> 0:17:29.720
<v Speaker 7>the things that uh, the Open Ai board was concerned about.

0:17:29.760 --> 0:17:33.040
<v Speaker 7>But you know, that doesn't mean that you can't have governance.

0:17:33.080 --> 0:17:37.000
<v Speaker 7>That doesn't mean that that you can't have legislation take

0:17:37.000 --> 0:17:39.439
<v Speaker 7>a much much more active role. And I think what

0:17:39.560 --> 0:17:43.840
<v Speaker 7>remains to be seen is if Sam ends up at Microsoft,

0:17:44.080 --> 0:17:47.600
<v Speaker 7>to what extent Microsoft will partner with governments, to what

0:17:47.640 --> 0:17:51.600
<v Speaker 7>extent Google will be forced to partner with governments around

0:17:51.680 --> 0:17:54.639
<v Speaker 7>these things to to to allay some of those fears.

0:17:54.680 --> 0:17:56.200
<v Speaker 4>Well, I feel like Rachel too, this is kind of

0:17:56.200 --> 0:17:58.800
<v Speaker 4>an amped up version of like privacy concerns, right, Like

0:17:58.880 --> 0:18:04.200
<v Speaker 4>we all have given incredible amounts of information to a Google,

0:18:04.680 --> 0:18:09.120
<v Speaker 4>to a Meta, to a Microsoft, so much that they

0:18:09.160 --> 0:18:12.080
<v Speaker 4>know about us, right, and we're all kind of yeah, uncomfortable,

0:18:12.160 --> 0:18:14.520
<v Speaker 4>but it's kind of we need it to exist. Is

0:18:14.520 --> 0:18:16.840
<v Speaker 4>that kind of where we could ultimately get to with

0:18:17.440 --> 0:18:18.160
<v Speaker 4>generative AI?

0:18:20.200 --> 0:18:23.199
<v Speaker 9>I mean, look, I would say that what we're seeing

0:18:23.280 --> 0:18:26.440
<v Speaker 9>for a number of people that are saying we need

0:18:26.480 --> 0:18:29.720
<v Speaker 9>to slow down the face of AI technology, they're not

0:18:29.840 --> 0:18:32.560
<v Speaker 9>talking about privacy risks so much as they're talking about

0:18:32.600 --> 0:18:37.480
<v Speaker 9>things like potential extinction risks, like maybe AI that will

0:18:37.480 --> 0:18:39.560
<v Speaker 9>get so good that it will kill all of us,

0:18:39.600 --> 0:18:42.399
<v Speaker 9>that sort of thing, which some people say is a

0:18:42.440 --> 0:18:45.240
<v Speaker 9>real risk, but a lot of people say that's ridiculous.

0:18:45.680 --> 0:18:48.200
<v Speaker 9>So I mean, I think that we have to sort

0:18:48.200 --> 0:18:50.199
<v Speaker 9>of like keep that in mind when we're thinking about

0:18:50.920 --> 0:18:52.880
<v Speaker 9>what the people who want to slow this stuff down,

0:18:52.920 --> 0:18:54.840
<v Speaker 9>what some of them are thinking, which is that they

0:18:54.840 --> 0:18:57.600
<v Speaker 9>tru some of them truly believe that AI is going

0:18:57.680 --> 0:19:02.040
<v Speaker 9>to potentially ill people. And you know, an existential risk

0:19:02.200 --> 0:19:04.840
<v Speaker 9>is you can see how you know that you kind

0:19:04.840 --> 0:19:07.160
<v Speaker 9>of go in that path and you're like, oh wow, okay.

0:19:07.200 --> 0:19:09.560
<v Speaker 4>That'll that'll that'll creep you out. Hey, Crawford cut like

0:19:10.000 --> 0:19:12.320
<v Speaker 4>twenty five seconds. The clients that you work with, are

0:19:12.320 --> 0:19:15.640
<v Speaker 4>they more enthused, are they more worried about open AI

0:19:15.840 --> 0:19:16.640
<v Speaker 4>and generative AI?

0:19:16.760 --> 0:19:19.199
<v Speaker 5>Real quickly, real quickly.

0:19:19.760 --> 0:19:21.720
<v Speaker 7>I think that most of the customers that we talk

0:19:21.800 --> 0:19:24.760
<v Speaker 7>to are looking at it as an opportunity. They're looking

0:19:24.760 --> 0:19:30.240
<v Speaker 7>at as an opportunity to be to increase productivity there,

0:19:30.880 --> 0:19:33.760
<v Speaker 7>to give people skills that they never had before. But

0:19:33.840 --> 0:19:37.000
<v Speaker 7>they are asking a lot about the security is tops

0:19:37.000 --> 0:19:39.800
<v Speaker 7>of the list, Privacy is second on the list of

0:19:39.840 --> 0:19:42.680
<v Speaker 7>things that they are most concerned about. They are taking

0:19:42.720 --> 0:19:47.760
<v Speaker 7>an optimistic view, but definitely I think need need the governance.

0:19:47.800 --> 0:19:49.760
<v Speaker 4>All right, guys, thank you so much. Crawford del Pratt,

0:19:49.760 --> 0:19:53.240
<v Speaker 4>President of IDC. Rachel Mattz, Bloomberg News AI reporter out

0:19:53.280 --> 0:19:54.280
<v Speaker 4>there in San Francisco.

0:19:56.080 --> 0:19:59.600
<v Speaker 3>You're listening to the Bloomberg Business Week podcast. Catch us

0:19:59.680 --> 0:20:03.720
<v Speaker 3>live weekday afternoons from three to six Eastern on Bloomberg Radio,

0:20:03.920 --> 0:20:07.200
<v Speaker 3>the Bloomberg Business App and YouTube. You can also listen

0:20:07.280 --> 0:20:10.400
<v Speaker 3>live on Amazon Alexa from our flagship New York station,

0:20:10.720 --> 0:20:13.960
<v Speaker 3>Jo Say Alexa play Bloomberg eleven thirty.

0:20:15.000 --> 0:20:18.240
<v Speaker 1>Hey Carol. In twenty twenty one, more than two hundred

0:20:18.240 --> 0:20:21.480
<v Speaker 1>thousand Americans got these letters from the Social Security Administration.

0:20:21.600 --> 0:20:26.440
<v Speaker 1>These letters said that hey, we overpaid and you actually

0:20:26.480 --> 0:20:29.000
<v Speaker 1>owe the Social Security Administration money.

0:20:29.040 --> 0:20:31.600
<v Speaker 5>So people had to pay back the Social Security Administration.

0:20:31.680 --> 0:20:34.040
<v Speaker 1>Well, if they didn't pay, their benefits would be cut

0:20:34.040 --> 0:20:37.080
<v Speaker 1>off until the Social Security Administration gets its money back.

0:20:37.240 --> 0:20:39.680
<v Speaker 4>All right, This is all according to our next guest,

0:20:39.800 --> 0:20:43.959
<v Speaker 4>new book, It's Fascinating Social Security Horror Stories. Project yourself

0:20:43.960 --> 0:20:46.520
<v Speaker 4>from the system and avoid clawbacks. This story, by the way,

0:20:46.880 --> 0:20:49.600
<v Speaker 4>was the top of a sixty minute segment earlier this

0:20:49.640 --> 0:20:53.000
<v Speaker 4>week that included Lawrence Kotlikoff. He's the co author tim

0:20:53.040 --> 0:20:54.720
<v Speaker 4>of the book, along with Terry Savage.

0:20:54.960 --> 0:20:57.640
<v Speaker 1>It's good to have you back with us, Lawrence. He's also,

0:20:57.720 --> 0:21:00.000
<v Speaker 1>we should note, a professor of economics at Boston University,

0:21:00.119 --> 0:21:02.639
<v Speaker 1>a Fellow of the American Academy of Arts and Sciences,

0:21:02.760 --> 0:21:05.399
<v Speaker 1>and a research associate at the National Bureau of Economic Research,

0:21:05.440 --> 0:21:08.159
<v Speaker 1>among many other things. Carol, I actually left a lot

0:21:08.200 --> 0:21:09.840
<v Speaker 1>of this stuff out of a ton of books.

0:21:09.920 --> 0:21:13.760
<v Speaker 4>Funny, yeah, he joins us on Zoom from Boston. So

0:21:13.840 --> 0:21:15.760
<v Speaker 4>great to have you back with us, Larry. I hope

0:21:15.800 --> 0:21:18.600
<v Speaker 4>this finds you. Well, let's get to the crux of it,

0:21:18.640 --> 0:21:21.840
<v Speaker 4>because it is fascinating. It's also terrifying. You've also, though,

0:21:22.119 --> 0:21:26.720
<v Speaker 4>been writing about the social security system for years. Why

0:21:26.760 --> 0:21:29.560
<v Speaker 4>has this continued to generally be on your radar and

0:21:29.600 --> 0:21:33.440
<v Speaker 4>a target a topic that requires examining in your view.

0:21:34.800 --> 0:21:38.359
<v Speaker 10>Well, it actually turns out there was testimony by the

0:21:38.400 --> 0:21:42.160
<v Speaker 10>Acting Commissioner in front of Congress week or so ago,

0:21:43.000 --> 0:21:45.600
<v Speaker 10>and she confessed that there's a million people being called

0:21:45.640 --> 0:21:49.560
<v Speaker 10>back each year. So I've been writing about these horror stories.

0:21:49.600 --> 0:21:52.360
<v Speaker 10>I've been calling them horror stories. Are wrote on PBS

0:21:52.359 --> 0:21:55.919
<v Speaker 10>News Hour and Forbes for years. I've been writing, and

0:21:56.680 --> 0:21:58.760
<v Speaker 10>you know, because people were asking me questions about SO

0:21:58.880 --> 0:22:02.040
<v Speaker 10>security and telling me this. And then I wrote another

0:22:02.040 --> 0:22:05.159
<v Speaker 10>book called Money Magic, which Terry Savage is my co

0:22:05.280 --> 0:22:08.679
<v Speaker 10>author on this new one. She interviewed me and then

0:22:08.680 --> 0:22:11.880
<v Speaker 10>we became kind of friends, and she started sending She's

0:22:11.880 --> 0:22:16.160
<v Speaker 10>a CBS News reporter in Chicago, and she started sending

0:22:16.200 --> 0:22:20.080
<v Speaker 10>me questions and I said, well, these, yeah, these hard stories.

0:22:20.359 --> 0:22:22.360
<v Speaker 10>I've been writing about them. And then I said, Terry,

0:22:22.440 --> 0:22:27.240
<v Speaker 10>let's do two things. Let's have you in your outreach

0:22:27.280 --> 0:22:30.200
<v Speaker 10>you asked people to send in their stories, and if

0:22:30.200 --> 0:22:32.080
<v Speaker 10>we get it a lot, well let's put put them

0:22:32.080 --> 0:22:34.679
<v Speaker 10>together in a book. Within a couple of weeks we

0:22:34.720 --> 0:22:38.520
<v Speaker 10>had over one hundred and fifty. And she knows that

0:22:38.560 --> 0:22:42.240
<v Speaker 10>for CBS contacts the people at sixty minutes, so a bingo,

0:22:42.320 --> 0:22:44.320
<v Speaker 10>we were on six. So it's all it's been there,

0:22:44.520 --> 0:22:48.119
<v Speaker 10>It's been there on for years. It's just that things

0:22:48.440 --> 0:22:51.199
<v Speaker 10>came together that we could actually get this into the

0:22:51.200 --> 0:22:55.119
<v Speaker 10>public attention, and then we decided we would write this book.

0:22:55.160 --> 0:22:56.640
<v Speaker 10>And at the same.

0:22:56.440 --> 0:22:58.720
<v Speaker 4>Time, we only have about six minutes or so. So

0:22:58.960 --> 0:23:00.600
<v Speaker 4>get to the heart of like what's happening.

0:23:02.320 --> 0:23:06.359
<v Speaker 10>What's happening is that there are social crety is making

0:23:06.400 --> 0:23:10.280
<v Speaker 10>mistakes and the mantra is your mistake is our mistake.

0:23:10.400 --> 0:23:13.520
<v Speaker 10>I mean, our mistake is your mistake, and so they

0:23:13.560 --> 0:23:18.760
<v Speaker 10>can overpay you for years on disability benefits, or on

0:23:18.760 --> 0:23:22.680
<v Speaker 10>your retirement benefit, on your spouse benefit, on whatever child benefits,

0:23:23.160 --> 0:23:26.679
<v Speaker 10>and they are making a mistake. You don't know it.

0:23:26.720 --> 0:23:30.560
<v Speaker 10>You're thinking you're getting the correct amount, and then fifteen

0:23:30.640 --> 0:23:32.840
<v Speaker 10>years later you get a bill in the mail for

0:23:33.560 --> 0:23:37.520
<v Speaker 10>one hundred and ten thousand dollars or fifty thousand dollars

0:23:38.080 --> 0:23:42.040
<v Speaker 10>or twenty five thousand dollars. But it's usually quite big.

0:23:42.119 --> 0:23:44.200
<v Speaker 10>I've seen bills as large as three hundred and four

0:23:44.200 --> 0:23:49.000
<v Speaker 10>thousand dollars. They have no clue what they're doing. Really,

0:23:49.720 --> 0:23:53.760
<v Speaker 10>the system is so complicated that the manual, the handbook

0:23:54.080 --> 0:23:57.879
<v Speaker 10>where a manual operating manual, goes to twenty thousand pages

0:23:58.640 --> 0:24:02.159
<v Speaker 10>covering twelve hundred and twenty seven twenty eight rules that

0:24:02.200 --> 0:24:05.840
<v Speaker 10>are in their handbook about twelve just twelve benefits. So

0:24:05.880 --> 0:24:10.520
<v Speaker 10>it's complicated beyond belief. So they make mistakes all the time,

0:24:10.600 --> 0:24:12.879
<v Speaker 10>and then they don't catch them, and it's your.

0:24:12.920 --> 0:24:16.199
<v Speaker 1>Your fault, Lawrence, You argue that the onus is on

0:24:16.359 --> 0:24:19.600
<v Speaker 1>us to actually make sure that we're being paid the

0:24:19.680 --> 0:24:23.840
<v Speaker 1>right amount. Given that the Social Security Administration has made

0:24:23.880 --> 0:24:26.639
<v Speaker 1>and continues to make so many mistakes. What do people

0:24:26.680 --> 0:24:28.920
<v Speaker 1>listening and watching us right now need to know about

0:24:29.080 --> 0:24:31.159
<v Speaker 1>how they can make sure that they're not going to

0:24:31.160 --> 0:24:32.400
<v Speaker 1>get one of these letters.

0:24:33.160 --> 0:24:36.000
<v Speaker 10>Well, one of the things you know, I've done over

0:24:36.040 --> 0:24:39.680
<v Speaker 10>the years is to produce a software tool called Maximizemsoli

0:24:39.720 --> 0:24:43.720
<v Speaker 10>security dot com maximize Myself security dot com. We write

0:24:43.760 --> 0:24:45.800
<v Speaker 10>about it in the book, but it's been there for

0:24:46.080 --> 0:24:49.760
<v Speaker 10>you know years. It's thirty nine dollars. People can go

0:24:50.200 --> 0:24:52.280
<v Speaker 10>and check that they're getting the correct benefit. If they're

0:24:52.320 --> 0:24:54.800
<v Speaker 10>being overpaid, they can, But.

0:24:54.720 --> 0:24:56.800
<v Speaker 1>Can I can I just do that by logging into

0:24:56.800 --> 0:24:59.560
<v Speaker 1>the Social Security Administration website and creating an account there.

0:25:01.640 --> 0:25:06.000
<v Speaker 10>Well, no, because they're not asking you. Those calculators there

0:25:06.080 --> 0:25:10.440
<v Speaker 10>that they have are very primitive and make crazy assumptions,

0:25:10.480 --> 0:25:14.840
<v Speaker 10>and you know it's not even clear that they're no.

0:25:14.920 --> 0:25:17.040
<v Speaker 10>So I would say the answer is no. I would

0:25:17.040 --> 0:25:20.560
<v Speaker 10>say the software that we have is far more accurate.

0:25:21.119 --> 0:25:25.520
<v Speaker 10>We've actually corrected some of suskre's own benefit calculations and

0:25:25.560 --> 0:25:28.280
<v Speaker 10>gotten them to fix their system using our software.

0:25:28.760 --> 0:25:34.000
<v Speaker 4>So help me understand though, in terms of these overpayments

0:25:34.040 --> 0:25:36.760
<v Speaker 4>that kind of go undetected for years and then all

0:25:36.800 --> 0:25:39.040
<v Speaker 4>of a sudden, individuals are getting something from the Social

0:25:39.080 --> 0:25:42.399
<v Speaker 4>Security Administration saying hey, by the way, we overpaid you

0:25:42.440 --> 0:25:45.800
<v Speaker 4>and UoS a chunk of money, and sometimes, as you said,

0:25:46.000 --> 0:25:47.800
<v Speaker 4>in cases it could be what more than three hundred

0:25:47.800 --> 0:25:51.800
<v Speaker 4>thousand dollars, it's a lot of money. Help me understand

0:25:51.800 --> 0:25:57.480
<v Speaker 4>the overpayment. Was it a slight overpayment extreme overpayment where

0:25:58.119 --> 0:26:00.119
<v Speaker 4>somebody who was getting a check might have said, wow,

0:26:00.200 --> 0:26:01.480
<v Speaker 4>why did that go up so much?

0:26:02.960 --> 0:26:05.720
<v Speaker 10>Well, you know, here's I'll give you an example. A

0:26:06.320 --> 0:26:11.680
<v Speaker 10>lady becomes disabled, she writes a child's book. It becomes

0:26:12.040 --> 0:26:14.080
<v Speaker 10>a best seller for a number of years. She starts

0:26:14.080 --> 0:26:18.120
<v Speaker 10>getting royalties. And then she calls every year and says, listen,

0:26:18.119 --> 0:26:21.120
<v Speaker 10>I'm getting these royalties. Can I still get my disability check?

0:26:21.200 --> 0:26:25.359
<v Speaker 10>They say, no problem, it's royalties. Then she gives a

0:26:25.400 --> 0:26:28.640
<v Speaker 10>talk or to at a local library. They send her

0:26:28.640 --> 0:26:33.240
<v Speaker 10>at ten ninety nine for the expense of going to whatever,

0:26:33.359 --> 0:26:36.560
<v Speaker 10>parking or travel, and then so screat changes its mind

0:26:36.560 --> 0:26:40.480
<v Speaker 10>ten years later, says, all those disability benefits we've been

0:26:40.480 --> 0:26:43.440
<v Speaker 10>paying you for all these years, they're actually earned income

0:26:43.440 --> 0:26:47.520
<v Speaker 10>because you actually took steps to make to sell your book.

0:26:47.800 --> 0:26:50.400
<v Speaker 10>You gave these two talks, and therefore you always three

0:26:50.440 --> 0:26:53.760
<v Speaker 10>hundred and four thousand dollars. And then the administrative she

0:26:53.760 --> 0:26:56.520
<v Speaker 10>appeals the administrative wall jud says, well, it has to

0:26:56.520 --> 0:26:59.159
<v Speaker 10>be our mistake. It is our mistake. But also you

0:26:59.200 --> 0:27:01.720
<v Speaker 10>have to be poor. And I've looked at all your

0:27:01.920 --> 0:27:05.440
<v Speaker 10>financial records, and guess what. I've looked at your cable plan,

0:27:05.560 --> 0:27:08.840
<v Speaker 10>and you have lots of TV stations. It's a very

0:27:08.920 --> 0:27:12.480
<v Speaker 10>rich plan, very good plan. And therefore I've decided you're

0:27:12.520 --> 0:27:14.399
<v Speaker 10>not poor, and therefore you have to pay back the

0:27:14.400 --> 0:27:17.280
<v Speaker 10>three hundred and four thousand dollars or we'll just continue

0:27:17.320 --> 0:27:19.480
<v Speaker 10>not to pay you your check. Until the rest of

0:27:19.520 --> 0:27:20.439
<v Speaker 10>you until you die.

0:27:20.600 --> 0:27:22.760
<v Speaker 4>So you're saying, they say, hey, it's okay, you should

0:27:22.760 --> 0:27:24.119
<v Speaker 4>get these benefits, and then all of a sudden they

0:27:24.200 --> 0:27:25.199
<v Speaker 4>kind of change the rules.

0:27:25.240 --> 0:27:27.000
<v Speaker 5>Is that fair to say they.

0:27:27.000 --> 0:27:29.200
<v Speaker 10>Can change the rules, they can change their mind. Forty

0:27:29.200 --> 0:27:32.720
<v Speaker 10>five years later, we've seen clawbacks going back. Somebody who's

0:27:32.760 --> 0:27:34.960
<v Speaker 10>a forty you know, sixty five, they're being clawback for

0:27:35.000 --> 0:27:37.359
<v Speaker 10>one hundred and seventy five dollars because they got a

0:27:37.440 --> 0:27:40.560
<v Speaker 10>child benefit when they were for one extra month when

0:27:40.560 --> 0:27:43.480
<v Speaker 10>they were nineteen, because they were still in high school

0:27:43.960 --> 0:27:47.040
<v Speaker 10>and so scarity got wrong when they actually graduated high school.

0:27:47.320 --> 0:27:51.159
<v Speaker 10>I mean, it's horrendous, and it's not just the disabled,

0:27:51.200 --> 0:27:55.040
<v Speaker 10>it's there's we're talking about a million people a year

0:27:55.080 --> 0:27:58.560
<v Speaker 10>for all kinds of reasons, and it's basically all mistakes

0:27:58.560 --> 0:28:00.520
<v Speaker 10>from SO Security. If they charge us with.

0:28:00.680 --> 0:28:03.000
<v Speaker 4>I know in the sixty minutes piece that the individuals

0:28:03.000 --> 0:28:06.720
<v Speaker 4>that were profiled they actually I think the Social Security Administration.

0:28:07.520 --> 0:28:08.920
<v Speaker 4>I think Anderson Cooper at the end of the piece

0:28:08.960 --> 0:28:12.760
<v Speaker 4>said listen, they basically forgave their debt and they were

0:28:12.800 --> 0:28:15.320
<v Speaker 4>looking into it as well.

0:28:15.800 --> 0:28:17.080
<v Speaker 5>Is there anything that has.

0:28:17.000 --> 0:28:20.560
<v Speaker 4>Moved forward in terms of Social Security and how they

0:28:20.600 --> 0:28:22.639
<v Speaker 4>are managing things, And I'm wondering what you think is

0:28:22.680 --> 0:28:24.560
<v Speaker 4>that the problem is it mismanagement.

0:28:24.600 --> 0:28:26.719
<v Speaker 5>They don't have enough people, they don't have good technology.

0:28:26.760 --> 0:28:29.080
<v Speaker 4>And my apologies because I know this is not an

0:28:29.080 --> 0:28:31.920
<v Speaker 4>easy fix to this situation, but we only have about

0:28:31.960 --> 0:28:32.680
<v Speaker 4>a minute left.

0:28:34.119 --> 0:28:38.160
<v Speaker 10>Well, so Security has changed its philosophy internally and it's

0:28:38.360 --> 0:28:42.040
<v Speaker 10>let's go get every single penny because we're broke. Although

0:28:42.120 --> 0:28:45.320
<v Speaker 10>the clawbacks collectively are about twenty one billion that they're

0:28:45.360 --> 0:28:48.440
<v Speaker 10>going after compared to a sixty five point nine trillion

0:28:48.440 --> 0:28:51.640
<v Speaker 10>dollars unfunded liability, so it's peanuts. And they're putting all

0:28:51.680 --> 0:28:57.040
<v Speaker 10>the you know, seventy seven million recipients under threat that

0:28:57.080 --> 0:28:59.360
<v Speaker 10>they could be next with their relatives because I have

0:28:59.360 --> 0:29:02.400
<v Speaker 10>to kick pick up the slag, yeah, if their weather

0:29:02.520 --> 0:29:07.480
<v Speaker 10>whatever gets hit. So I think it's people at the

0:29:07.480 --> 0:29:12.520
<v Speaker 10>top who just don't give a damn. There's there's an

0:29:12.560 --> 0:29:15.800
<v Speaker 10>overarching The reason that those three people were forgiven is

0:29:15.800 --> 0:29:19.320
<v Speaker 10>that there's an overarching principle that so Security can waive

0:29:19.440 --> 0:29:21.960
<v Speaker 10>these callbacks if it goes against equity and good conscience.

0:29:21.960 --> 0:29:24.280
<v Speaker 10>That's in the wall. So the commissioner or the action

0:29:24.360 --> 0:29:28.240
<v Speaker 10>commissioner today could write just saying beyond eighteen months, it's

0:29:28.280 --> 0:29:29.960
<v Speaker 10>one of us. That's it.

0:29:30.120 --> 0:29:32.400
<v Speaker 5>Well, well, very interesting.

0:29:32.400 --> 0:29:35.000
<v Speaker 4>There's a lot more in your book, Larry Kotlikoff, Thank

0:29:35.000 --> 0:29:37.800
<v Speaker 4>you so much, Professor of economics at Boston University's book

0:29:38.000 --> 0:29:39.680
<v Speaker 4>Social Security Horror Stories.

0:29:40.080 --> 0:29:43.640
<v Speaker 3>You're listening to the Bloomberg Business Week podcast. Catch us

0:29:43.680 --> 0:29:47.000
<v Speaker 3>live weekday afternoons from three to six Eastern Listen on

0:29:47.080 --> 0:29:51.120
<v Speaker 3>Bloomberg dot com, the iHeartRadio app, and the Bloomberg Business app,

0:29:51.400 --> 0:29:54.200
<v Speaker 3>or watch us live on YouTube.

0:29:57.200 --> 0:29:59.640
<v Speaker 4>Well, the Bloomberg US Aggregate Bond of Docks, it tracks

0:29:59.640 --> 0:30:02.320
<v Speaker 4>at tw twenty five trillion dollars of investment grade government

0:30:02.640 --> 0:30:06.080
<v Speaker 4>and corporate debt, gained about one point four percent last week.

0:30:06.320 --> 0:30:09.640
<v Speaker 4>It's up five tenths of a percent for the year,

0:30:09.760 --> 0:30:12.400
<v Speaker 4>and that's after we got softer than expected inflation data.

0:30:12.440 --> 0:30:14.760
<v Speaker 4>That index, by the way, we should note, posted a

0:30:14.800 --> 0:30:17.760
<v Speaker 4>record loss of thirteen percent in twenty twenty two.

0:30:17.960 --> 0:30:21.320
<v Speaker 1>Okay, so let's look into our crystal ball, and twenty

0:30:21.400 --> 0:30:24.720
<v Speaker 1>twenty four hasn't sat right. Twenty three three is not

0:30:24.760 --> 0:30:26.640
<v Speaker 1>even over yet, Carol, but we're already looking at that.

0:30:26.920 --> 0:30:30.760
<v Speaker 1>We've got Leslie Falconio, head of Taxable fixed income strategy

0:30:30.760 --> 0:30:33.720
<v Speaker 1>at UBS Global Wealth Management. She joins us on Zoom

0:30:34.040 --> 0:30:37.240
<v Speaker 1>from New York City. Good to have you with us, Leslie. So,

0:30:37.480 --> 0:30:39.040
<v Speaker 1>so give us an idea of what we can expect

0:30:39.240 --> 0:30:40.800
<v Speaker 1>not just in the year ahead, but just in the

0:30:40.840 --> 0:30:43.040
<v Speaker 1>next six weeks as we wrap up twenty twenty three.

0:30:44.120 --> 0:30:46.320
<v Speaker 11>Right, well, let's let's start with the next six weeks first.

0:30:46.360 --> 0:30:47.960
<v Speaker 11>I mean, you know, you know, as you know, we've

0:30:48.040 --> 0:30:50.360
<v Speaker 11>rallied quite a bit from the October level of five

0:30:50.360 --> 0:30:52.840
<v Speaker 11>oh one on tenure yield. I mean, as you mentioned

0:30:53.200 --> 0:30:55.440
<v Speaker 11>right after that CPI number, you know, we get a

0:30:55.440 --> 0:30:58.800
<v Speaker 11>really large move the market is pricing in and pushing

0:30:58.840 --> 0:31:02.040
<v Speaker 11>forward now some easing from the Fed in twenty twenty four,

0:31:02.040 --> 0:31:04.000
<v Speaker 11>and now we have, you know, a thirty five percent

0:31:04.080 --> 0:31:06.240
<v Speaker 11>chance that they start in March. The easing in twenty

0:31:06.240 --> 0:31:08.640
<v Speaker 11>four has been priced into one hundred, you know, to

0:31:08.640 --> 0:31:10.400
<v Speaker 11>about one hundred base points. You know, we think that's

0:31:10.440 --> 0:31:13.360
<v Speaker 11>a little bit overdone. You know, for the rest of

0:31:13.360 --> 0:31:15.440
<v Speaker 11>the year. We have the Fed on December thirteenth, we

0:31:15.480 --> 0:31:18.360
<v Speaker 11>still have another inflation number, we have another payroll number.

0:31:18.840 --> 0:31:21.200
<v Speaker 11>So you know, I think there's a bit of fomo

0:31:21.280 --> 0:31:23.240
<v Speaker 11>out there in terms of if you don't lock in

0:31:23.320 --> 0:31:26.040
<v Speaker 11>right now, even though our view is no question that

0:31:26.080 --> 0:31:28.480
<v Speaker 11>yields will be lower in twenty twenty four. We think

0:31:28.520 --> 0:31:30.480
<v Speaker 11>around three and a half to three seventy five going

0:31:30.520 --> 0:31:33.440
<v Speaker 11>into near the end of twenty twenty four. But that's

0:31:33.440 --> 0:31:36.280
<v Speaker 11>not necessarily a straight line. And so we've seen a

0:31:36.320 --> 0:31:39.600
<v Speaker 11>bit of this loosing of financial conditions, the equity market

0:31:39.680 --> 0:31:41.360
<v Speaker 11>doing well, and a bit of reversal from the last

0:31:41.360 --> 0:31:43.640
<v Speaker 11>time the Fed Fed met back you know, a month

0:31:43.760 --> 0:31:46.240
<v Speaker 11>or so ago. So you know, I wouldn't be surprised

0:31:46.280 --> 0:31:48.520
<v Speaker 11>if we saw a little bit of rise and interest

0:31:48.560 --> 0:31:50.680
<v Speaker 11>rates in the short term, but for you know, in

0:31:50.720 --> 0:31:52.400
<v Speaker 11>twenty four, there's no question yields or lower.

0:31:52.480 --> 0:31:52.920
<v Speaker 5>Well, one thing I.

0:31:52.880 --> 0:31:55.200
<v Speaker 4>Would say, Leslie, if anything you know for me once,

0:31:55.800 --> 0:31:57.760
<v Speaker 4>shame on you for me twice, because I feel like

0:31:57.760 --> 0:31:59.480
<v Speaker 4>we've had some fake outs when it comes to the

0:31:59.480 --> 0:32:03.719
<v Speaker 4>treasury right and there's either enthusiasm in terms of you know,

0:32:03.920 --> 0:32:07.160
<v Speaker 4>or expectations at rates stay higher for longer as the

0:32:07.240 --> 0:32:10.040
<v Speaker 4>that has certainly lectured us about for a long long time,

0:32:10.400 --> 0:32:11.720
<v Speaker 4>you know, or all of a sudden we move in

0:32:11.760 --> 0:32:13.959
<v Speaker 4>the other direction. The volatility that we can see in

0:32:13.960 --> 0:32:20.000
<v Speaker 4>this market can kind of give you a bit of whiplash.

0:32:18.520 --> 0:32:20.320
<v Speaker 11>No question. I mean, just look at even look at

0:32:20.400 --> 0:32:22.240
<v Speaker 11>what happened with the two year. I mean, the two

0:32:22.280 --> 0:32:25.640
<v Speaker 11>year moved last week around twenty basis points eight lower right.

0:32:25.680 --> 0:32:27.959
<v Speaker 11>That was like the biggest movie that we've seen since SVB.

0:32:28.240 --> 0:32:31.040
<v Speaker 11>So there's no question there's a lot of volatility out there.

0:32:31.080 --> 0:32:33.760
<v Speaker 11>But there's a volatility because this is a show me

0:32:33.840 --> 0:32:37.200
<v Speaker 11>market and you know, with you know, Chapoulo kind of

0:32:37.240 --> 0:32:39.640
<v Speaker 11>having the sort of wait and see type of rhetoric,

0:32:40.320 --> 0:32:42.560
<v Speaker 11>you know, every year, sort of moving on every number.

0:32:42.600 --> 0:32:46.040
<v Speaker 11>When CPI was so weak, the market really adjusted really quickly.

0:32:46.040 --> 0:32:48.959
<v Speaker 11>When claims came out week, the market adjusts quickly. And

0:32:49.040 --> 0:32:50.760
<v Speaker 11>now that you know, we were sort of through that,

0:32:50.840 --> 0:32:53.160
<v Speaker 11>if in fact we have the next CPI we have

0:32:53.240 --> 0:32:56.200
<v Speaker 11>a reversal, they're gonna have a definitely different outcome that

0:32:56.240 --> 0:32:57.640
<v Speaker 11>we're seeing right now in terms of treasure.

0:32:57.680 --> 0:32:57.960
<v Speaker 3>Yelds.

0:32:58.040 --> 0:33:00.000
<v Speaker 1>Well, that's I'm so glad you brought that up, because

0:33:00.120 --> 0:33:02.920
<v Speaker 1>is it does seem like, you know, this was kicked

0:33:02.960 --> 0:33:06.160
<v Speaker 1>off with the ever so slightest you know, downside surprise

0:33:06.280 --> 0:33:08.320
<v Speaker 1>when it came to jobs, when it came to CPI.

0:33:08.880 --> 0:33:11.800
<v Speaker 1>What happens if we find out that you know, inflation

0:33:11.880 --> 0:33:14.080
<v Speaker 1>is a little stickier, getting from three to two percent

0:33:14.160 --> 0:33:15.360
<v Speaker 1>than people thought.

0:33:16.080 --> 0:33:18.280
<v Speaker 11>You know, I think that's that's very valid. That's why

0:33:18.320 --> 0:33:20.640
<v Speaker 11>we don't think that the Fed really doesn't start to

0:33:20.720 --> 0:33:24.320
<v Speaker 11>ease until the third quarter of twenty four. And it's

0:33:24.480 --> 0:33:27.120
<v Speaker 11>you know best you know, it's probably his best interest

0:33:27.240 --> 0:33:29.720
<v Speaker 11>right now to sort of keep that higher for longer

0:33:29.840 --> 0:33:32.440
<v Speaker 11>kind of mentality for you know, the first half of

0:33:32.480 --> 0:33:35.400
<v Speaker 11>twenty four, unless, of course, we see a negative payroll

0:33:35.480 --> 0:33:38.480
<v Speaker 11>print or we see a large decline in confidence. But

0:33:38.560 --> 0:33:41.440
<v Speaker 11>otherwise than that, there's really no reason for them to

0:33:41.720 --> 0:33:44.880
<v Speaker 11>ease in March, right so that higher for longer will

0:33:44.880 --> 0:33:46.640
<v Speaker 11>be there for quite some time. And I think that

0:33:46.680 --> 0:33:49.640
<v Speaker 11>the market is just getting a bit you know over

0:33:49.760 --> 0:33:53.000
<v Speaker 11>skis right now temporarily in terms of yields, but overall

0:33:53.000 --> 0:33:55.560
<v Speaker 11>we think yields will come down. But it's too soon

0:33:55.600 --> 0:33:57.960
<v Speaker 11>to say or wave a victory flag right.

0:33:59.520 --> 0:34:01.560
<v Speaker 1>Before, but not too soon in your opinion to lock

0:34:01.600 --> 0:34:03.040
<v Speaker 1>in some of these yields.

0:34:03.480 --> 0:34:05.640
<v Speaker 11>You're absolutely right, because I mean, when you think about

0:34:05.720 --> 0:34:08.120
<v Speaker 11>you know, when you get to that five percent tenure yield,

0:34:08.200 --> 0:34:09.799
<v Speaker 11>or even where we are right now around that four

0:34:09.840 --> 0:34:13.200
<v Speaker 11>and a half percent, you know that combounding income is

0:34:13.200 --> 0:34:15.640
<v Speaker 11>a huge hell wint to total return, and that's really

0:34:15.640 --> 0:34:17.680
<v Speaker 11>what we're thinking about. I mean, you know, the the

0:34:17.719 --> 0:34:20.640
<v Speaker 11>amount of that yields need to rise right for you

0:34:20.680 --> 0:34:24.399
<v Speaker 11>to have a negative return is you know, sixty basis poicts.

0:34:24.400 --> 0:34:26.120
<v Speaker 11>It's quite a bit. And I know you were talking

0:34:26.120 --> 0:34:28.960
<v Speaker 11>about earlier about the AG and what happened with the

0:34:28.960 --> 0:34:31.120
<v Speaker 11>AG in twenty twenty two, and I think that's that's

0:34:31.120 --> 0:34:33.400
<v Speaker 11>one of the valid points is that you know, we

0:34:33.400 --> 0:34:35.600
<v Speaker 11>see everyone says, oh, could this be the third consecutive

0:34:35.640 --> 0:34:39.560
<v Speaker 11>negative return of fixed income? Right? But you were starting

0:34:39.560 --> 0:34:41.000
<v Speaker 11>a base case of fifty.

0:34:40.840 --> 0:34:43.359
<v Speaker 1>Why buy points? Why by the ten year for four

0:34:43.400 --> 0:34:46.000
<v Speaker 1>point four to two when you could buy the two

0:34:46.120 --> 0:34:47.720
<v Speaker 1>year for four point nine to one.

0:34:48.880 --> 0:34:52.840
<v Speaker 11>Because you have that you know, price appreciation by locking

0:34:52.840 --> 0:34:55.560
<v Speaker 11>in and taking some interest rate exposure here. I mean,

0:34:55.640 --> 0:34:57.919
<v Speaker 11>if anything, you're going to see that two year, which

0:34:58.000 --> 0:35:00.840
<v Speaker 11>I'm sure will decline, but I don't think you're going

0:35:00.920 --> 0:35:05.560
<v Speaker 11>to have that kind of you know, inflation appreciation that

0:35:05.600 --> 0:35:07.600
<v Speaker 11>you're going to have by locking in some industry risk here,

0:35:07.600 --> 0:35:08.799
<v Speaker 11>particularly given where we are on this.

0:35:08.760 --> 0:35:11.319
<v Speaker 4>Line anymore on the shorter and what you're saying is

0:35:11.320 --> 0:35:14.839
<v Speaker 4>no more that appreciation on the shorter duration, I.

0:35:14.760 --> 0:35:16.080
<v Speaker 11>Think you could have it, but you're not going to

0:35:16.160 --> 0:35:18.319
<v Speaker 11>have it compared to what you're seeing and throw that

0:35:18.440 --> 0:35:20.640
<v Speaker 11>longer and the locking in right, because if they start

0:35:20.680 --> 0:35:23.440
<v Speaker 11>to ease, they're easing because the economy is slowing, right,

0:35:23.480 --> 0:35:25.520
<v Speaker 11>in which which we think is going to happen, you'll

0:35:25.560 --> 0:35:28.120
<v Speaker 11>definitely have that long end coming down. And as we know,

0:35:28.520 --> 0:35:32.239
<v Speaker 11>you know, over the past forty years, when the Fed pauses, right,

0:35:32.360 --> 0:35:34.960
<v Speaker 11>interest rates come down, both in the short end and

0:35:35.120 --> 0:35:38.080
<v Speaker 11>in around that tenure. But having that interest rate risk

0:35:38.200 --> 0:35:41.640
<v Speaker 11>now on top of compounding income is great for future

0:35:41.680 --> 0:35:42.240
<v Speaker 11>total return.

0:35:42.560 --> 0:35:49.120
<v Speaker 5>So we had an auction today, strong Treasury auction. Yeah yeah, yeah.

0:35:48.400 --> 0:35:50.360
<v Speaker 11>Go ahead, go ahead, No, sorry, no, I was going

0:35:50.400 --> 0:35:53.000
<v Speaker 11>to say, that's really that's really important too, because you know,

0:35:53.040 --> 0:35:55.200
<v Speaker 11>obviously there's a bit of angst with that twenty year

0:35:55.200 --> 0:35:57.319
<v Speaker 11>given what happened with the thirty year, right, I mean,

0:35:57.400 --> 0:35:59.400
<v Speaker 11>with that five basis point out that we saw on

0:35:59.440 --> 0:36:01.960
<v Speaker 11>the thirty year auction, there's a bit of anxiety with

0:36:02.040 --> 0:36:03.719
<v Speaker 11>that twenty year because first of all, the twenty year

0:36:03.800 --> 0:36:06.920
<v Speaker 11>is doesn't have the same sponsorship to begin with, right

0:36:06.920 --> 0:36:10.319
<v Speaker 11>as you would as a ten to thirty combined with

0:36:10.320 --> 0:36:12.640
<v Speaker 11>what happened in the thirty year auction, there was a

0:36:12.680 --> 0:36:15.000
<v Speaker 11>bit of anxiety, but actually it went quite well.

0:36:15.719 --> 0:36:20.800
<v Speaker 4>So okay, real quickly, just about forty seconds. Your recession

0:36:20.880 --> 0:36:22.759
<v Speaker 4>next year? You're saying we don't cut rates until the

0:36:23.040 --> 0:36:25.680
<v Speaker 4>third quarter of next year. Will there be a recession?

0:36:25.719 --> 0:36:27.480
<v Speaker 4>Is that your expectations as part of the view.

0:36:27.560 --> 0:36:30.680
<v Speaker 11>Just quickly, No, it's not. We don't have a recession view.

0:36:30.719 --> 0:36:32.319
<v Speaker 11>We think a slow in growth view. But you know

0:36:32.440 --> 0:36:34.680
<v Speaker 11>the ease will be simply because we think inflation's coming

0:36:34.680 --> 0:36:37.200
<v Speaker 11>down and well and growth will be below trend, but

0:36:37.239 --> 0:36:37.840
<v Speaker 11>not recession.

0:36:37.960 --> 0:36:41.080
<v Speaker 4>All right, interesting stuff, listen, Thank you so much. Leslie Falconio,

0:36:41.200 --> 0:36:44.760
<v Speaker 4>head of taxable fixed income Strategy at UBS Global Wealth Management.

0:36:44.760 --> 0:36:47.399
<v Speaker 4>I meant to ask hers some questions for my cousin's husband, David,

0:36:47.440 --> 0:36:50.600
<v Speaker 4>because we've been talking about that taxable fixed This.

0:36:50.560 --> 0:36:53.160
<v Speaker 1>Is like a theme today. We keep having these extra questions.

0:36:53.239 --> 0:36:54.840
<v Speaker 5>What's about relating back to my family?

0:36:54.920 --> 0:36:58.759
<v Speaker 4>Still, what's interesting We should mention Richmond Fed President Tom

0:36:58.800 --> 0:37:02.799
<v Speaker 4>Barkin saying that progress isn't sufficient enough for the feeder

0:37:02.920 --> 0:37:04.920
<v Speaker 4>to declare victory on inflation.

0:37:05.120 --> 0:37:06.760
<v Speaker 5>So folks ain't.

0:37:06.560 --> 0:37:07.839
<v Speaker 2>Here that we're not there yet.

0:37:08.000 --> 0:37:10.319
<v Speaker 5>Know that we're not there yet, not.

0:37:10.360 --> 0:37:15.040
<v Speaker 4>There O patience, patience, not there, Just saying, just putting

0:37:15.080 --> 0:37:15.560
<v Speaker 4>it out there.

0:37:15.840 --> 0:37:17.040
<v Speaker 5>This is Bloomberg.

0:37:19.760 --> 0:37:25.839
<v Speaker 3>Brothering Marco Journal. How about you let me drive?

0:37:26.400 --> 0:37:30.000
<v Speaker 1>No no, no, no, please go and drive, honey, please?

0:37:30.160 --> 0:37:31.600
<v Speaker 3>How the gravels?

0:37:32.040 --> 0:37:33.400
<v Speaker 5>Let's wat I want to try it.

0:37:35.640 --> 0:37:36.560
<v Speaker 6>It's a good question.

0:37:40.360 --> 0:37:42.880
<v Speaker 3>This is the drive to the clothes.

0:37:42.480 --> 0:37:43.279
<v Speaker 6>Dot com for me.

0:37:43.320 --> 0:37:46.760
<v Speaker 3>I think we'll buy around yold it on on Bloomberg Radio.

0:37:46.960 --> 0:37:48.120
<v Speaker 5>A nice to talk everybody.

0:37:48.200 --> 0:37:49.960
<v Speaker 4>What we got about seventeen and a half minutes left

0:37:49.960 --> 0:37:53.480
<v Speaker 4>in today's trading session. CONN equity rally underway. It's an

0:37:53.480 --> 0:37:56.480
<v Speaker 4>interesting week. Holiday shortened trading week because of Thanksgiving. There

0:37:56.520 --> 0:37:59.320
<v Speaker 4>is some trading, a shortened day on Friday. We have

0:37:59.400 --> 0:38:00.480
<v Speaker 4>some economic news.

0:38:01.160 --> 0:38:02.960
<v Speaker 1>What a volumes volumes are hired today?

0:38:03.040 --> 0:38:05.000
<v Speaker 5>Well maybe people came in maybe because on.

0:38:04.960 --> 0:38:06.799
<v Speaker 1>The NASDAK, I should say the NASDAK and the DOV

0:38:06.880 --> 0:38:09.720
<v Speaker 1>volumes are higher. S and P volumes are lower lower.

0:38:09.760 --> 0:38:12.400
<v Speaker 4>Okay, So but I think we're on track for is

0:38:12.400 --> 0:38:14.680
<v Speaker 4>it a fourth week of games potentially for the S

0:38:14.719 --> 0:38:17.960
<v Speaker 4>and P five hundred weekly, so pretty significant. All right,

0:38:18.000 --> 0:38:20.120
<v Speaker 4>So let's see what our guest has to say our

0:38:20.200 --> 0:38:22.480
<v Speaker 4>drive to the close. It is certainly on with us.

0:38:22.880 --> 0:38:23.479
<v Speaker 5>Is Greg Calter.

0:38:23.560 --> 0:38:27.319
<v Speaker 4>He's director of research at Carnegie Investment Council. They've got

0:38:27.320 --> 0:38:30.839
<v Speaker 4>about four billion dollars in assets under management. He is

0:38:30.880 --> 0:38:34.040
<v Speaker 4>on Zoom from Cleveland, Ohio, and I just want to

0:38:34.040 --> 0:38:37.560
<v Speaker 4>mention that the company, Carnegie Investment, it's a registered investment

0:38:37.560 --> 0:38:39.400
<v Speaker 4>advisor and they're also a wealth manager.

0:38:39.520 --> 0:38:41.359
<v Speaker 5>Hey, Greg, welcome. How are you.

0:38:42.840 --> 0:38:44.879
<v Speaker 6>I'm doing fine. I hope you are as well.

0:38:45.040 --> 0:38:45.399
<v Speaker 8>We are.

0:38:45.520 --> 0:38:47.640
<v Speaker 4>We're, you know, trying to keep up with the open

0:38:47.680 --> 0:38:50.400
<v Speaker 4>AI story. Is that something that you, guys I don't know,

0:38:50.520 --> 0:38:53.520
<v Speaker 4>think about talk about on a Monday for fun or

0:38:53.560 --> 0:38:56.640
<v Speaker 4>is it about something you talk about from an investment perspective.

0:38:58.320 --> 0:39:01.919
<v Speaker 6>Probably both. Lots of events over the weekend, for sure,

0:39:02.200 --> 0:39:05.000
<v Speaker 6>with Sam Altman and I just heard on your news

0:39:05.000 --> 0:39:08.680
<v Speaker 6>piece there seven hundred are threatening to leave. We're seeing

0:39:08.760 --> 0:39:12.320
<v Speaker 6>Microsoft driving to a new high and video which reports

0:39:12.320 --> 0:39:16.560
<v Speaker 6>this week as well. So definitely it's water cooler chat

0:39:16.719 --> 0:39:20.040
<v Speaker 6>as well as real business in regards to what Microsoft

0:39:20.120 --> 0:39:21.920
<v Speaker 6>is doing by hiring Sam.

0:39:22.600 --> 0:39:25.440
<v Speaker 1>Does anything concern you about this story? We spent a

0:39:25.480 --> 0:39:27.719
<v Speaker 1>good portion of the beginning of our program talking about

0:39:27.719 --> 0:39:31.600
<v Speaker 1>philosophical differences between Sam Altman and others on the board

0:39:31.640 --> 0:39:35.840
<v Speaker 1>of Open Ai with regard to guardrails in terms of

0:39:35.840 --> 0:39:38.560
<v Speaker 1>how you're thinking about the technology as an investor, does

0:39:38.600 --> 0:39:39.520
<v Speaker 1>anything give you pause.

0:39:42.239 --> 0:39:49.160
<v Speaker 6>It's obviously a potentially and probably contentious area. There's some

0:39:49.280 --> 0:39:53.200
<v Speaker 6>who think that AI can go too far and potentially

0:39:53.320 --> 0:39:57.359
<v Speaker 6>ruin the world. Others are looking for the benefits in

0:39:57.480 --> 0:40:04.440
<v Speaker 6>terms of business productivity and so forth. Remains to be

0:40:04.560 --> 0:40:07.840
<v Speaker 6>seen how all this plays out there. There's certainly incredible

0:40:07.920 --> 0:40:11.600
<v Speaker 6>benefits that can be had if handled properly. So I

0:40:11.640 --> 0:40:14.680
<v Speaker 6>think that's the main crux of the issue here is

0:40:14.719 --> 0:40:18.240
<v Speaker 6>how this plays out over time. And really we're talking

0:40:18.239 --> 0:40:21.719
<v Speaker 6>about one year since the CHTGPT came onto the.

0:40:21.680 --> 0:40:24.439
<v Speaker 4>Scene right January, right of this year. That's the big

0:40:24.440 --> 0:40:27.919
<v Speaker 4>investment by by Microsoftware. We're all like, wait, what's going

0:40:27.960 --> 0:40:28.400
<v Speaker 4>on here?

0:40:28.640 --> 0:40:28.839
<v Speaker 8>Hey?

0:40:28.920 --> 0:40:33.160
<v Speaker 4>You said, I feel like, first of all, Greg that

0:40:33.200 --> 0:40:36.239
<v Speaker 4>when there's money to be made, investors are like, yeah, yeah,

0:40:36.239 --> 0:40:37.759
<v Speaker 4>I got some concerns, but how do I make money?

0:40:37.800 --> 0:40:39.200
<v Speaker 4>So how do I make money off of this? You

0:40:39.239 --> 0:40:42.640
<v Speaker 4>said that there's real business. It's not only water cooler

0:40:42.719 --> 0:40:47.280
<v Speaker 4>talk today, it's real business. So you know, our investing

0:40:47.560 --> 0:40:50.320
<v Speaker 4>investors calling you guys up and saying, you know, increase

0:40:50.360 --> 0:40:53.359
<v Speaker 4>my position exposure to Microsoft and VideA. Is there a

0:40:53.360 --> 0:40:56.160
<v Speaker 4>private market folks? Are you know who are saying, how

0:40:56.200 --> 0:40:58.319
<v Speaker 4>do I get in on the open AI side of it?

0:40:58.360 --> 0:41:02.239
<v Speaker 5>From a private market? What is the real business that's

0:41:02.280 --> 0:41:03.920
<v Speaker 5>coming off of this for you guys today?

0:41:05.440 --> 0:41:09.000
<v Speaker 6>Very good question, Carol, and we have had a client's

0:41:09.120 --> 0:41:12.520
<v Speaker 6>call and ask us what we're doing in this regard.

0:41:13.120 --> 0:41:17.640
<v Speaker 6>I think a lot of investors have lots of questions

0:41:17.719 --> 0:41:22.200
<v Speaker 6>and are confused on exactly what it is. Our stance

0:41:22.280 --> 0:41:26.400
<v Speaker 6>has been, rather than go with the more speculative companies

0:41:26.440 --> 0:41:29.880
<v Speaker 6>that really don't have revenues yet, we're looking at the

0:41:29.920 --> 0:41:34.120
<v Speaker 6>Microsoft's of the world, and Amazon and Nvidia, the companies

0:41:34.120 --> 0:41:37.880
<v Speaker 6>that make the chips and the data centers, so Eaten

0:41:37.960 --> 0:41:41.560
<v Speaker 6>providing the electricity and the electrical power into that area.

0:41:41.920 --> 0:41:45.799
<v Speaker 6>Those are the ways we're playing this. The more established companies.

0:41:47.120 --> 0:41:49.359
<v Speaker 1>I want to shift gears a little bit and and

0:41:49.520 --> 0:41:51.200
<v Speaker 1>sort of zoom out. Well, Carlly, you want to do well?

0:41:51.200 --> 0:41:53.200
<v Speaker 5>You said eat and providing the power, meaning what wait,

0:41:53.280 --> 0:41:53.759
<v Speaker 5>help me here.

0:41:55.320 --> 0:41:58.080
<v Speaker 6>Sure. Eaton is a Cleveland company actually not too far

0:41:58.120 --> 0:42:02.960
<v Speaker 6>from us right here. They are huge into the electrical business,

0:42:03.000 --> 0:42:07.240
<v Speaker 6>so everything from soup to nuts in terms of regulators

0:42:07.280 --> 0:42:12.880
<v Speaker 6>and their backlog is huge and it's out into multi

0:42:13.000 --> 0:42:17.800
<v Speaker 6>years now. So Eaton's products are needed for these data centers.

0:42:18.160 --> 0:42:21.080
<v Speaker 6>The data centers are what are crunching all this data.

0:42:21.440 --> 0:42:25.560
<v Speaker 6>AI is probably tenfold at least fivefold increase over what

0:42:25.600 --> 0:42:29.280
<v Speaker 6>we have currently, So Eaton is a huge player, huge

0:42:29.320 --> 0:42:32.400
<v Speaker 6>beneficiary of that. As long as this trend continues.

0:42:32.520 --> 0:42:34.960
<v Speaker 4>It is a ninety billion dollar market cap. You're right,

0:42:34.960 --> 0:42:38.160
<v Speaker 4>we don't necessarily talk about it day to day, and

0:42:38.200 --> 0:42:39.200
<v Speaker 4>it is up about.

0:42:38.960 --> 0:42:40.160
<v Speaker 5>Forty five percent this year.

0:42:40.200 --> 0:42:42.600
<v Speaker 4>This speaks to It's like I feel like when it

0:42:42.719 --> 0:42:45.399
<v Speaker 4>was either content and folks are like, I don't care

0:42:45.440 --> 0:42:47.280
<v Speaker 4>who creates the content. I want to be the pipe

0:42:47.360 --> 0:42:49.200
<v Speaker 4>that gets it into everybody's home. And that's what it

0:42:49.200 --> 0:42:52.840
<v Speaker 4>sounds to me like right now. Artificial intelligence, whether we

0:42:52.920 --> 0:42:55.440
<v Speaker 4>have problems with it or concerns about it, probably here

0:42:55.480 --> 0:42:58.480
<v Speaker 4>to stay. I don't kind of necessarily know who's going

0:42:58.520 --> 0:43:00.279
<v Speaker 4>to be leading with it, but if I can be

0:43:00.320 --> 0:43:02.200
<v Speaker 4>the backbone or the infrastructure, I'm in it.

0:43:02.400 --> 0:43:04.400
<v Speaker 1>Right It's the so called picks and shovels approach, the

0:43:04.440 --> 0:43:07.600
<v Speaker 1>gold rush, or the Levi's jeans approach. Right, Okay, so

0:43:07.840 --> 0:43:10.880
<v Speaker 1>let's talk more of those, Greg, what else do you

0:43:10.920 --> 0:43:13.919
<v Speaker 1>have for us? You've got Eton that Carol just mentioned

0:43:13.960 --> 0:43:16.120
<v Speaker 1>that you just mentioned. Then there are the big players

0:43:16.160 --> 0:43:20.040
<v Speaker 1>like Microsoft, like Amazon, like Nvidia. Who else is out

0:43:20.040 --> 0:43:22.560
<v Speaker 1>there that could be that it is on your radar.

0:43:23.640 --> 0:43:28.000
<v Speaker 6>Sure, there's some other companies that I think investors wouldn't

0:43:28.040 --> 0:43:31.600
<v Speaker 6>really think of, but a Center ACN is the symbol

0:43:31.640 --> 0:43:36.560
<v Speaker 6>there in terms of the consulting. All these companies want

0:43:36.600 --> 0:43:39.399
<v Speaker 6>to deploy AI, but how do they do it? What's

0:43:39.440 --> 0:43:43.239
<v Speaker 6>the best way? A Century is a huge consultant and

0:43:43.280 --> 0:43:46.440
<v Speaker 6>they will be one area we think will benefit from that.

0:43:46.640 --> 0:43:48.960
<v Speaker 1>Funny you say that Center're hitting a fifty two week

0:43:49.040 --> 0:43:53.080
<v Speaker 1>high today. Shares up so far this year twenty four percent.

0:43:53.120 --> 0:43:54.520
<v Speaker 5>Carol, that's pretty fascinating.

0:43:54.520 --> 0:43:57.080
<v Speaker 4>It's funny, you know, Greg, Very early on in my career,

0:43:57.800 --> 0:43:59.680
<v Speaker 4>it was like the beginning of the mutual fund industry.

0:43:59.719 --> 0:44:01.520
<v Speaker 4>And that's how we would play it with our host.

0:44:01.600 --> 0:44:04.080
<v Speaker 4>It's like something would happen in the news world and

0:44:04.120 --> 0:44:06.040
<v Speaker 4>it's like, okay, so how do you buy it? And

0:44:06.080 --> 0:44:08.920
<v Speaker 4>I always throughout this example, it was like, unfortunately, there

0:44:08.960 --> 0:44:11.839
<v Speaker 4>could be a hurricane or devastation. It'd be like, Okay,

0:44:11.880 --> 0:44:13.680
<v Speaker 4>people are going to be buying the cement. You know,

0:44:13.719 --> 0:44:17.160
<v Speaker 4>companies we think about we're in wartime, the defense companies

0:44:17.239 --> 0:44:19.400
<v Speaker 4>right like you look at them right now, and I

0:44:19.440 --> 0:44:21.680
<v Speaker 4>feel like, is that that is kind of the smart

0:44:21.680 --> 0:44:24.719
<v Speaker 4>way to be looking at this news in this at

0:44:24.719 --> 0:44:29.440
<v Speaker 4>this particular time. In terms of open AI.

0:44:28.840 --> 0:44:32.480
<v Speaker 6>No question. I mean here's another one. Striker is going

0:44:32.560 --> 0:44:37.520
<v Speaker 6>to be using AI in the future of its implants,

0:44:37.560 --> 0:44:40.560
<v Speaker 6>and you know from personal experience, I'll be having a

0:44:40.640 --> 0:44:44.239
<v Speaker 6>hip replacement in ten days. You know, there will be

0:44:44.320 --> 0:44:47.880
<v Speaker 6>using the Maco robot. Striker is at the cusp of

0:44:47.920 --> 0:44:51.400
<v Speaker 6>all kinds of innovation and they'll they will be deploying

0:44:51.480 --> 0:44:54.120
<v Speaker 6>AI in that space as well. So these are all

0:44:54.120 --> 0:44:58.879
<v Speaker 6>to make these procedures easier, faster, faster recovery. I mean,

0:44:58.880 --> 0:45:02.120
<v Speaker 6>that's huge for so who's undergoing that type of procedure.

0:45:02.880 --> 0:45:05.600
<v Speaker 4>Really smart way to look at this story. Can't tell

0:45:05.600 --> 0:45:07.960
<v Speaker 4>you how much we appreciate it. Greg Halter, director of

0:45:07.960 --> 0:45:11.040
<v Speaker 4>Research at Carnegie Investment Council. We mentioned four billion in

0:45:11.120 --> 0:45:13.959
<v Speaker 4>assets under management. Happy Thanksgiving, Greg, thank you.

0:45:14.000 --> 0:45:16.120
<v Speaker 1>Yeah, and so good luck on the hip surgery coming

0:45:16.160 --> 0:45:18.800
<v Speaker 1>up ten days away. I hope you have a RESTful

0:45:18.800 --> 0:45:20.680
<v Speaker 1>time in your back on your feet and back with

0:45:20.760 --> 0:45:21.839
<v Speaker 1>us to very soon.

0:45:21.840 --> 0:45:25.440
<v Speaker 5>Greg appreciate it absolutely well. Wishes to him in that journey.

0:45:25.640 --> 0:45:25.920
<v Speaker 7>All right.

0:45:25.960 --> 0:45:28.319
<v Speaker 4>You are listening and watching Bloomberg Business Week Carol Master,

0:45:28.360 --> 0:45:30.520
<v Speaker 4>Tim Stanovic, and this is Bloomberg.

0:45:32.000 --> 0:45:35.280
<v Speaker 3>This is the Bloomberg Business Week podcast of a little

0:45:35.280 --> 0:45:38.799
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0:45:39.320 --> 0:45:42.840
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0:45:42.960 --> 0:45:46.320
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0:45:46.360 --> 0:45:49.319
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0:45:49.360 --> 0:45:52.960
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