WEBVTT - Broadcom Boom, Intel Bust Tell Two Chipmaking Tales

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio news. This is Bloomberg business

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<v Speaker 1>Week inside from the reporters and editors who bring you

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<v Speaker 1>America's most trusted business magazine, plus global business finance and

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<v Speaker 1>tech news. The Bloomberg Business Week Podcast with Carol Messer

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<v Speaker 1>and Tim Stenebeck from Bloomberg Radio.

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<v Speaker 2>Twenty twenty four. Man, it was a benchmark year for

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<v Speaker 2>the semiconductor industry, companies including Nvidia and Broadcom reaching new highs.

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<v Speaker 2>Not everyone that was sharing in the good fortune. Intel,

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<v Speaker 2>as we know, a story we talked throughout the year,

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<v Speaker 2>falling sharply in twenty twenty four as the company contended

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<v Speaker 2>with losses and grim forecasts and really trying to figure

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<v Speaker 2>its way forward for more. We are joined by someone

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<v Speaker 2>who knows the semi space like no other, Bloomberg Semiconductor

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<v Speaker 2>and networking reporter Ian King, joining us on this money Monday. Ian,

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<v Speaker 2>good to have you here with Fannie and me. I

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<v Speaker 2>do want to start with Intel. I do wonder if

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<v Speaker 2>twenty twenty five is going to be the year where

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<v Speaker 2>it figures itself out. I don't know, how are you

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<v Speaker 2>thinking about it as we get ready to kick off

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<v Speaker 2>a new year.

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<v Speaker 1>Yeah?

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<v Speaker 3>No, I mean, it's a huge question right now. It

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<v Speaker 3>doesn't even have a CEO. Remember, we still don't even

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<v Speaker 3>know who is going to lead this company forward. The

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<v Speaker 3>last thing we heard from its two co CEOs, who

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<v Speaker 3>the interim appointees, was that is a company going to

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<v Speaker 3>be broken up? We don't know that'll be for something

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<v Speaker 3>that whoever takes the CEO role will decide. So that's

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<v Speaker 3>even the existence of this company as it currently is,

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<v Speaker 3>as it always has been. Even that's a question at

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<v Speaker 3>this point.

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<v Speaker 4>What's its expertise in now? Ian, sorry I expertise? What

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<v Speaker 4>would it be bought for?

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<v Speaker 3>Well, historically it had one of the strongest design teams

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<v Speaker 3>in microprocesses, still owns a huge percentage of the PC

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<v Speaker 3>market in terms of market share, still owns a big

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<v Speaker 3>percentage of the server market in terms of market share,

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<v Speaker 3>and it used to have the best factories in the world.

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<v Speaker 3>All of those bright and shiny things are a little

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<v Speaker 3>bit duller these days, unfortunately, but there's still in many

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<v Speaker 3>respects and intrinsic value in that capacity in those engineering.

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<v Speaker 2>Hey, one thing I do think about Ian is what

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<v Speaker 2>kind of leader does Intel need going forward? You know,

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<v Speaker 2>we've talked a lot about it. You know, the insider

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<v Speaker 2>versus the outsider, And I do wonder what is the

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<v Speaker 2>kind of leader that this company needs to compete in

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<v Speaker 2>this and video world, if you will, or Nvidia dominated

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<v Speaker 2>world at least at this moment.

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<v Speaker 3>No, I mean, that's the question. And I think once

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<v Speaker 3>the board decide who that is, that the type of

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<v Speaker 3>choice they make will be a really important indicator as

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<v Speaker 3>to what they see as the future of this company.

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<v Speaker 3>If they look to sort of replace Pat Gelsinger, the

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<v Speaker 3>outgo and CEO, with somebody similar, somebody who knows the company,

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<v Speaker 3>somebody who's committed to keeping it together, then that's a

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<v Speaker 3>sign that they're still believers. If they looked perhaps bringing

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<v Speaker 3>an outsider, somebody who's perhaps towards the end of their career,

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<v Speaker 3>who kind of knows the industry in general, has all

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<v Speaker 3>the contacts, maybe that's because they see it as a

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<v Speaker 3>breakup situation at this point.

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<v Speaker 5>And then, of course, and you have the other side

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<v Speaker 5>of the coin. Let's take Broadcom for example. We waited

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<v Speaker 5>all year long and then suddenly Broadcom had this resurgence

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<v Speaker 5>and twenty five percent.

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<v Speaker 4>Move in one day alone.

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<v Speaker 5>What's behind that sort of you know, revitalization of Broadcom.

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<v Speaker 1>Yeah.

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<v Speaker 3>I mean, you've got Hoctan, the CEO there, who's made

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<v Speaker 3>this kind of company out of sort of the leftover

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<v Speaker 3>parts of other companies. He sort of identified what he

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<v Speaker 3>sees as these kind of staid but strong franchises, and

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<v Speaker 3>that's been the atmosphere surrounding this company. But then all

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<v Speaker 3>of a sudden, it's like, bang, we're exploding with growth

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<v Speaker 3>because Broadcom does the design work for companies like Google

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<v Speaker 3>who want to make their own semiconductors. And what he's

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<v Speaker 3>saying is, Hey, I've got a pessimistic view of chips overall,

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<v Speaker 3>but guess what this sector is amazing.

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<v Speaker 2>Is Broadcom ian potentially the company we talk more about

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<v Speaker 2>in twenty twenty five Over in Vidia.

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<v Speaker 3>Difficult to say if you look at the raw numbers.

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<v Speaker 3>No broadcoms projecting massive growth an available market as much

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<v Speaker 3>as I think ninety billion by twenty twenty seven for

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<v Speaker 3>its you know, AI related chip designs in videos already

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<v Speaker 3>there right. In Vidia this year is going to have,

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<v Speaker 3>you know, a data center division that's going to be

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<v Speaker 3>somewhere in the one hundred hundred and twenty billion dollars.

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<v Speaker 3>And that's just one division. So clearly in video is

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<v Speaker 3>already there. Clearly we all have a long way to

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<v Speaker 3>go to get even close to them. But the one

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<v Speaker 3>that appears to be closest at this point would be Broadcome.

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<v Speaker 4>So Nvidia is one of the stocks that is hirer today.

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<v Speaker 5>Ian and today are always seeing right across the screen

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<v Speaker 5>and spartially, I would imagine because of this acquisition.

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<v Speaker 4>And Israeli software.

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<v Speaker 5>Company tell us a little bit about one AI and

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<v Speaker 5>what it will do for Invidea.

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<v Speaker 3>Yeah, I mean this is a software acquisition. This software

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<v Speaker 3>from this is rarely startup. Helps owners of data centers

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<v Speaker 3>to get the best out of their infrastructure, to sort

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<v Speaker 3>of coordinate it, to make sure the utilization is up,

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<v Speaker 3>to make sure the software is being balanced in the

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<v Speaker 3>right way. This kind of intermediary role, which is very

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<v Speaker 3>important when you're spending you know, tens of thousands of

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<v Speaker 3>dollars per chip. So that's very useful for Invidea. And

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<v Speaker 3>there was some you know, concerns that in Vidia, because

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<v Speaker 3>of its market influence, because of its size, just wouldn't

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<v Speaker 3>be able to get anything past regulators. That's obviously not

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<v Speaker 3>the case. It's obviously been able to close this deal

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<v Speaker 3>and it's shown, you know, that Invidia perhaps still has

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<v Speaker 3>room to do deals and to be able to sort

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<v Speaker 3>of make moves and influence the industry externally.

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<v Speaker 2>Hey, Ian, one quick last question forty five seconds here.

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<v Speaker 2>I am curious you. We've talked so much about the

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<v Speaker 2>semiconductor cycles right where there's lots of demand, then there's

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<v Speaker 2>the build up, and then there's over supply. Will the

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<v Speaker 2>AI semi cycle be the same thing or is it

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<v Speaker 2>something different this time?

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<v Speaker 1>Every time?

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<v Speaker 3>I mean, I Scarlett likes to point out how long

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<v Speaker 3>I've been covering this industry. I've been listening to CEOs

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<v Speaker 3>telling me this time is different for most of those

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<v Speaker 3>twenty five years, and that's never been the case. So

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<v Speaker 3>why would that change now?

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<v Speaker 6>Fair enough?

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<v Speaker 2>I will definitely whatever you say, I'm going to follow it. Ian,

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<v Speaker 2>Thank you so much, Tappy Holidays, Happy New Year, Ian

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<v Speaker 2>King of course, Bloomberg Semiconductor and Networking reporter. All right, folks,

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<v Speaker 2>we just chatted, of course about semis with e on.

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<v Speaker 2>Twenty twenty four was once again a year about artificial

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<v Speaker 2>intelligence in.

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<v Speaker 7>A big way.

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<v Speaker 2>Check out one measure on that. If you look at

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<v Speaker 2>the two point six billion dollar global X funds, global

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<v Speaker 2>X artificial intelligence and Technology ETF. It's up about twenty

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<v Speaker 2>six percent year to date, and that's after a fifty

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<v Speaker 2>five percent gain in twenty twenty three. So the question

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<v Speaker 2>at this point is can it outperformed for a third

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<v Speaker 2>year in a row. Let's get some thoughts on that.

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<v Speaker 2>We welcome Xeno Mercer senior research analyst a Vetefi Zino.

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<v Speaker 2>Good to have you here with Vonnie and me. Strong

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<v Speaker 2>year in twenty twenty four, strong year in twenty twenty three,

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<v Speaker 2>much stronger in twenty twenty three. What's your investment outlook

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<v Speaker 2>for AI related investing come twenty twenty five. Do you

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<v Speaker 2>have any clarity on that?

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<v Speaker 8>I think it's clear at this point to most people

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<v Speaker 8>and viewers or the show that AI is coming down

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<v Speaker 8>the pipeline and every facet of society. It's not just

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<v Speaker 8>chat and interfaces. It's advanced you know, autonomous vehicles, it's logistics,

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<v Speaker 8>it's you know, human you know, we're advancing to the

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<v Speaker 8>next kind of phase of human tech interaction. It's not

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<v Speaker 8>just going to be locked in the screens. It's going

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<v Speaker 8>to be real time with us. You know, we had

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<v Speaker 8>the iPhone atwe Haven seven. Maybe wireless your buds and

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<v Speaker 8>then chat GPT and now you know, from a consumer, enterprise, government,

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<v Speaker 8>industrial standpoint, we're starting to see kind of the aifurcation

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<v Speaker 8>of everything. And to be clear, there's still a lot

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<v Speaker 8>of challenges and roadblocks ahead for deployment and implementation. There's

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<v Speaker 8>new safeguards, there's new challenges that occur when you start

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<v Speaker 8>to automate more. You know, human society isn't perfect. We

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<v Speaker 8>operate off communication and assumptions and ledgers and things of

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<v Speaker 8>our own, you know, AI and then robots, for example,

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<v Speaker 8>also depend on real time and accumulated knowledge to make decisions,

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<v Speaker 8>both from an individual basis as well as you know.

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<v Speaker 9>A societal basis.

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<v Speaker 8>And so what we expect to see is continued implementation

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<v Speaker 8>of AI and robotics that you know, we expect to

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<v Speaker 8>start to continue to eat the world to kind of

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<v Speaker 8>paraphrase Mark Indreas and and and that's definitely something that

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<v Speaker 8>we don't expect to slow down at all, especially when

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<v Speaker 8>you consider some of the policies and global dynamics that

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<v Speaker 8>are happening right now.

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<v Speaker 5>Sure, but what kind of return on investment will it provide?

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<v Speaker 5>And specifically for investors and companies that are making those investments,

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<v Speaker 5>is there a case for waiting to see what it

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<v Speaker 5>can actually do. In terms of the bottom.

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<v Speaker 8>Line, well, I mean if you look at you know,

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<v Speaker 8>just to look at how Wall Street's looking at it,

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<v Speaker 8>classic the projected top and bottom lines for AI and

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<v Speaker 8>robotics companies are both projected to continue to accelerate next year.

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<v Speaker 8>Now and video might start to you know, grow into

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<v Speaker 8>its accelerated growth that's been going on since you know,

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<v Speaker 8>October twenty twenty two or you know, November since when

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<v Speaker 8>it bottomed out. But you know, these end markets are

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<v Speaker 8>expected to grow rapidly. I mean we're talking about, you know,

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<v Speaker 8>majority of GDP starting to be AI and robotics driven.

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<v Speaker 8>That's a huge you know, you're talking talking about the

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<v Speaker 8>tam of the world that you can reverse engineer task

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<v Speaker 8>and processes and everything else. So you if you break

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<v Speaker 8>down the stack of what AI or robotics are, let's

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<v Speaker 8>talk about you know, cerebral digital automation and all the

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<v Speaker 8>connectivity and data stores that happens on that side, and

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<v Speaker 8>the physical inputs, right we're physics found and then physical automation,

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<v Speaker 8>which is even less automated. There's a lot of sub

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<v Speaker 8>sectors within those that are that are that are parts

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<v Speaker 8>of that sensors. For example, as we start to have

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<v Speaker 8>robots that can connect and do more rather than just

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<v Speaker 8>stat and non dynamic, We're going to have dynamic robots

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<v Speaker 8>with more skills, higher adoption rates because they can do more.

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<v Speaker 8>The payback periods are going to be better both for

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<v Speaker 8>you know, manufacturers. Right now, there's a lot of push

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<v Speaker 8>to move away from China. So we've got Vietnam, India,

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<v Speaker 8>and even the US. A lot of people are saying like, hey,

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<v Speaker 8>why don't we build more here? We've got very low

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<v Speaker 8>robotics penetration rates here. You know, we're tenth in the

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<v Speaker 8>world the United States. There's a lot of room to grow.

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<v Speaker 8>And if we actually want to be able to match

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<v Speaker 8>parity of cost and make this efficient for everybody, we

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<v Speaker 8>have to we have to do more there.

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<v Speaker 7>So z you know, walk us through.

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<v Speaker 2>Then how does my life maybe change as a result

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<v Speaker 2>of what you're saying? How does Bonni's life? How does

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<v Speaker 2>everybody who's listening and watching their life change? Maybe in

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<v Speaker 2>twenty twenty five as a result of what you're saying.

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<v Speaker 2>This collaboration between AI and robotics, well.

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<v Speaker 8>Some of it will be less obvious and behind the

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<v Speaker 8>scenes right, like how food and deliveries get to you

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<v Speaker 8>right when you We're used to pressing a button and

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<v Speaker 8>magically things appear, so kind of continue, like, let's go

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<v Speaker 8>a step further, right, navigating around your home for but

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<v Speaker 8>we have remotes and automatic doors and dispensers and things

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<v Speaker 8>like that.

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<v Speaker 9>But what's the next level of that? Right?

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<v Speaker 8>You know, Meta, for example, is working on interfaces that

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<v Speaker 8>combine your real time vision.

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<v Speaker 9>And you know, potentially a risk a wrisk worn sensor

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<v Speaker 9>that allows you to navigate your environment.

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<v Speaker 8>Now, this could be huge for elderly and pair you know,

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<v Speaker 8>disabled other people as well as everyone else. On the

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<v Speaker 8>other side, you know, personal AI assistance. I think we'll

0:11:24.040 --> 0:11:26.080
<v Speaker 8>start to take off a little bit more in a

0:11:26.120 --> 0:11:29.480
<v Speaker 8>more impactful way in twenty twenty five. We've seen GEM

0:11:29.520 --> 0:11:31.000
<v Speaker 8>and I do this. You know, it starts connect with

0:11:31.040 --> 0:11:32.840
<v Speaker 8>your calendar, your goal is your budget.

0:11:33.120 --> 0:11:35.360
<v Speaker 9>You know it's not exactly there yet, but kind.

0:11:35.200 --> 0:11:36.960
<v Speaker 8>Of a more simple way is you know, just even

0:11:37.160 --> 0:11:39.880
<v Speaker 8>you know Open Eye's latest and others, you know, ability

0:11:39.920 --> 0:11:42.840
<v Speaker 8>to look at a scene and ask questions it's asked.

0:11:42.840 --> 0:11:44.320
<v Speaker 9>You know, it's kind of there's a lag period.

0:11:44.400 --> 0:11:47.679
<v Speaker 8>We'll start to see that inference time disappear, maybe we'll

0:11:47.720 --> 0:11:51.520
<v Speaker 8>even see that full AI capability on that specific device,

0:11:51.559 --> 0:11:54.200
<v Speaker 8>whether it's a glasses or a camera on your phone,

0:11:54.559 --> 0:11:56.560
<v Speaker 8>and that allows you to basically have kind of like

0:11:56.600 --> 0:11:59.680
<v Speaker 8>a personal AI assistant, life coach or you know, trainer

0:11:59.800 --> 0:12:03.000
<v Speaker 8>or just kind of this omni all knowing thing that

0:12:03.040 --> 0:12:05.320
<v Speaker 8>can help you solve whatever problem you have.

0:12:05.600 --> 0:12:08.040
<v Speaker 5>Are there companies then that have been overlooked so far

0:12:08.120 --> 0:12:10.440
<v Speaker 5>in this bull run, Companies you know that are doing

0:12:10.520 --> 0:12:12.040
<v Speaker 5>some of the things you just laid out.

0:12:13.080 --> 0:12:15.560
<v Speaker 8>Well, there's certainly a lot of companies that are putting

0:12:15.600 --> 0:12:18.000
<v Speaker 8>their hat in the ring. There's public and private companies.

0:12:18.000 --> 0:12:20.360
<v Speaker 8>To be clear, You've got humanoid robots that are coming.

0:12:20.720 --> 0:12:23.000
<v Speaker 8>That's one form factor of many. To be clear, you

0:12:23.080 --> 0:12:25.599
<v Speaker 8>might not even have humanoids be the phone factor in

0:12:25.640 --> 0:12:27.560
<v Speaker 8>your home. It might be on a base or the

0:12:27.600 --> 0:12:30.320
<v Speaker 8>stand in a telescopic arm and things.

0:12:29.960 --> 0:12:30.880
<v Speaker 9>To do chores for you.

0:12:31.160 --> 0:12:34.000
<v Speaker 8>So we probably will have an iPhone like moment or

0:12:34.040 --> 0:12:36.480
<v Speaker 8>chat GBT moment in the next year or two to say,

0:12:36.480 --> 0:12:39.120
<v Speaker 8>twenty twenty five might be a bit bullish, but it's coming.

0:12:39.120 --> 0:12:41.719
<v Speaker 8>You're seeing lots of companies working on it, I think

0:12:41.760 --> 0:12:44.480
<v Speaker 8>at this point because things are moving so fast. It's

0:12:44.480 --> 0:12:47.679
<v Speaker 8>almost better to have a basket of companies that are out.

0:12:47.480 --> 0:12:48.679
<v Speaker 9>You know, that have exposure.

0:12:49.120 --> 0:12:51.560
<v Speaker 8>And you know, if you have AI and autonomous vehicles

0:12:51.559 --> 0:12:54.800
<v Speaker 8>to take off, you need cloud connectivity, right because they're

0:12:54.840 --> 0:12:58.040
<v Speaker 8>not just operating as a loan device their network, so

0:12:58.200 --> 0:13:01.559
<v Speaker 8>they depend on inputs and sensors and so a.

0:13:01.480 --> 0:13:04.240
<v Speaker 9>Lot of these components like actuation, computer vision.

0:13:05.280 --> 0:13:07.480
<v Speaker 8>You know, I would almost look at it as sub

0:13:07.920 --> 0:13:10.000
<v Speaker 8>leaders of these sub sectors that make a lot of

0:13:10.080 --> 0:13:12.960
<v Speaker 8>sense to get access to how we're seeing the majority

0:13:13.000 --> 0:13:15.600
<v Speaker 8>of the GDP transforming into a more automated world.

0:13:15.840 --> 0:13:17.240
<v Speaker 2>Heze and know, I do wonder do we make the

0:13:17.320 --> 0:13:19.520
<v Speaker 2>leap of AI having its own agency?

0:13:19.600 --> 0:13:19.720
<v Speaker 9>Right?

0:13:19.760 --> 0:13:23.080
<v Speaker 2>We talk a lot about autonomous agents and basically AI

0:13:23.360 --> 0:13:27.480
<v Speaker 2>not needing human intervention to respond react, just got about

0:13:27.520 --> 0:13:28.720
<v Speaker 2>thirty seconds. Do we have that?

0:13:29.000 --> 0:13:29.480
<v Speaker 4>Do we see?

0:13:29.520 --> 0:13:31.480
<v Speaker 2>Do we hear more about that in twenty twenty five

0:13:31.520 --> 0:13:33.480
<v Speaker 2>because it feels like that's the next big step.

0:13:34.160 --> 0:13:37.360
<v Speaker 8>Yeah, AI agents and mixture of experts. We're going to

0:13:37.400 --> 0:13:40.920
<v Speaker 8>see a lot of advances here. Clearly, you know, AI

0:13:41.040 --> 0:13:43.480
<v Speaker 8>can start to solve problems on its own. We saw

0:13:43.800 --> 0:13:47.280
<v Speaker 8>three from open AI come out. We're seeing open source

0:13:47.280 --> 0:13:50.120
<v Speaker 8>AI come out with new models, and ultimately AI agents

0:13:50.200 --> 0:13:53.040
<v Speaker 8>will will certainly start to be utilized more in twenty

0:13:53.400 --> 0:13:53.960
<v Speaker 8>twenty five.

0:13:54.040 --> 0:13:55.680
<v Speaker 9>That there's no question about it.

0:13:55.679 --> 0:13:58.840
<v Speaker 8>It's it's going to start, you know again, open source

0:13:58.920 --> 0:14:01.720
<v Speaker 8>or even just directed AI will start to eat the world,

0:14:01.720 --> 0:14:04.560
<v Speaker 8>and AI agents is certainly a big part, but a

0:14:04.559 --> 0:14:05.600
<v Speaker 8>slice of that pie.

0:14:05.679 --> 0:14:07.640
<v Speaker 5>Well, you know, we will no doubt be talking to

0:14:07.640 --> 0:14:09.720
<v Speaker 5>you again then in twenty twenty five and looking forward

0:14:09.760 --> 0:14:10.800
<v Speaker 5>to a happy new year to.

0:14:10.760 --> 0:14:12.720
<v Speaker 2>You that I'm not looking forward to the agent or

0:14:12.720 --> 0:14:15.319
<v Speaker 2>the personal AI assistant that says, do you really need.

0:14:15.160 --> 0:14:18.720
<v Speaker 7>Those new shoes? I'm not so worried about how much

0:14:18.760 --> 0:14:20.840
<v Speaker 7>they get. They kind of invade your life.

0:14:21.240 --> 0:14:21.960
<v Speaker 4>I totally agree.

0:14:22.040 --> 0:14:24.080
<v Speaker 5>Although I bought the new iPhone, the one that's supposed to

0:14:24.080 --> 0:14:25.640
<v Speaker 5>have AI capabilities, I don't know.

0:14:25.800 --> 0:14:27.480
<v Speaker 4>I do not notice any difference.

0:14:28.000 --> 0:14:31.960
<v Speaker 5>Alasino Mercer, they're a senior research analyst at Vertify joining us.

0:14:32.920 --> 0:14:36.320
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Can't Just

0:14:36.480 --> 0:14:39.720
<v Speaker 1>Live weekday afternoons from two to five pm Eastern Listen

0:14:39.760 --> 0:14:41.920
<v Speaker 1>on Apple car Play and then brought auto with a

0:14:41.960 --> 0:14:44.960
<v Speaker 1>Bloomberg Business act or Warn't Just Live on YouTube?

0:14:46.480 --> 0:14:49.120
<v Speaker 5>Let's turn out to Lauren zeidel Baker, who is an

0:14:49.120 --> 0:14:52.120
<v Speaker 5>economist at it R Economics, and Lauren will start with,

0:14:52.240 --> 0:14:54.560
<v Speaker 5>you know, the most recent data out today, Dallas FED

0:14:54.600 --> 0:14:55.960
<v Speaker 5>manufacturing activity coming.

0:14:55.760 --> 0:14:57.280
<v Speaker 4>In strong three point four.

0:14:57.360 --> 0:14:59.960
<v Speaker 5>We were anticipating a decline for December and pending home

0:15:00.120 --> 0:15:03.080
<v Speaker 5>sales month over month of two point two percent, year

0:15:03.120 --> 0:15:06.840
<v Speaker 5>of year of five point six percent less strong, but

0:15:06.880 --> 0:15:08.240
<v Speaker 5>nevertheless getting up there.

0:15:08.440 --> 0:15:09.720
<v Speaker 4>What concerns do you have?

0:15:09.800 --> 0:15:12.040
<v Speaker 5>Let's start there with the US economy for twenty twenty five.

0:15:13.520 --> 0:15:16.240
<v Speaker 6>Sure, we see actually good news ahead for the economy,

0:15:16.320 --> 0:15:18.720
<v Speaker 6>so my concerns are really limited to these black Swan

0:15:18.760 --> 0:15:22.000
<v Speaker 6>type events. So something like tariff policy, as Matt mentioned,

0:15:22.240 --> 0:15:25.200
<v Speaker 6>really could constrain It could cause them upward pricing for

0:15:25.240 --> 0:15:28.040
<v Speaker 6>a US consumer that's already been very squeezed by inflation.

0:15:28.360 --> 0:15:32.160
<v Speaker 6>Could cause some additional hindrances for businesses here. But overall,

0:15:32.160 --> 0:15:35.400
<v Speaker 6>the foundational pieces are in place for a very resilient economy,

0:15:35.480 --> 0:15:38.880
<v Speaker 6>so I don't see any underlying cracks now. Later into

0:15:39.360 --> 0:15:42.400
<v Speaker 6>twenty twenty five, that's when we at ITR Economics do

0:15:42.560 --> 0:15:45.960
<v Speaker 6>see inflation starting to build again. Some of those inflationary

0:15:46.000 --> 0:15:49.120
<v Speaker 6>pressures already in place, So something that has been squeezing

0:15:49.120 --> 0:15:52.280
<v Speaker 6>both consumers and businesses, could even cause the FED to

0:15:52.400 --> 0:15:55.680
<v Speaker 6>stop decreasing rates potentially even start raising them again by

0:15:55.680 --> 0:15:58.400
<v Speaker 6>the end of next year, but those impacts would probably

0:15:58.440 --> 0:16:00.920
<v Speaker 6>be felt more strongly by twenty two, twenty six, or seven.

0:16:01.040 --> 0:16:03.720
<v Speaker 6>So all signs really pointing to good news ahead in

0:16:03.760 --> 0:16:04.400
<v Speaker 6>the year to come.

0:16:04.520 --> 0:16:05.840
<v Speaker 2>All right, I want to go back to how you

0:16:05.920 --> 0:16:09.880
<v Speaker 2>started black swan events, whether it's tariffs, because if anything

0:16:09.920 --> 0:16:12.520
<v Speaker 2>we've learned over the last decade or so or two decades,

0:16:12.680 --> 0:16:15.080
<v Speaker 2>is that black swan events actually do happen, and I've

0:16:15.080 --> 0:16:16.920
<v Speaker 2>had a couple in my lifetime, whether it's the Great

0:16:16.920 --> 0:16:20.000
<v Speaker 2>Financial Crisis or whether it's the global pandemic. So when

0:16:20.040 --> 0:16:23.240
<v Speaker 2>you say that, what in particular is it what kind

0:16:23.240 --> 0:16:25.800
<v Speaker 2>of trade war we see? What is it in particular

0:16:25.800 --> 0:16:27.800
<v Speaker 2>that you are so most worried about.

0:16:28.400 --> 0:16:30.720
<v Speaker 6>The big ones for me are all geopolitical. So if

0:16:30.760 --> 0:16:35.440
<v Speaker 6>we see wars right, increasing tensions or conflicts globally, that

0:16:35.600 --> 0:16:37.760
<v Speaker 6>is a big one that we just couldn't really predict.

0:16:37.800 --> 0:16:41.440
<v Speaker 6>I'm an economist, not a geopolitical analyst. But other than that,

0:16:41.480 --> 0:16:44.440
<v Speaker 6>we do see the trade war, especially if we get

0:16:44.440 --> 0:16:48.360
<v Speaker 6>reciprocal tariffs on some broad based US tariffs that could

0:16:48.480 --> 0:16:51.880
<v Speaker 6>hinder some global trade activities. Now globally we are sort

0:16:51.880 --> 0:16:55.760
<v Speaker 6>of seeing the pendulum swing away from globalization back towards nationalism.

0:16:55.920 --> 0:16:59.040
<v Speaker 6>There are certainly some benefits, especially to US manufacturers, a

0:16:59.040 --> 0:17:01.720
<v Speaker 6>lot of foreign direct and flowing into the United States.

0:17:02.040 --> 0:17:03.880
<v Speaker 7>But this is just tipping the scale.

0:17:03.920 --> 0:17:06.240
<v Speaker 6>So there will be winners and there will be losers

0:17:06.240 --> 0:17:10.600
<v Speaker 6>of this tariff policy of changes right to the trade policy.

0:17:10.840 --> 0:17:12.760
<v Speaker 6>It's more a matter of which side of the table

0:17:12.760 --> 0:17:16.080
<v Speaker 6>you're sitting on. Certainly some opportunities for some, but it

0:17:16.119 --> 0:17:19.240
<v Speaker 6>does also cause that disruption which could have those unintended

0:17:19.280 --> 0:17:20.679
<v Speaker 6>consequences economy wide and.

0:17:20.720 --> 0:17:22.879
<v Speaker 2>Can make things more expensive. Correct, I mean this is

0:17:22.920 --> 0:17:25.160
<v Speaker 2>what I worry about. The inflationary pressures.

0:17:28.400 --> 0:17:31.280
<v Speaker 6>Yeah, I want to be clear, we see fundamental reasons

0:17:31.320 --> 0:17:33.560
<v Speaker 6>for inflation coming back next year on top of the

0:17:33.560 --> 0:17:35.879
<v Speaker 6>tariff's tariffs would really just to boost that level of

0:17:36.240 --> 0:17:38.280
<v Speaker 6>price rise. But at the end of the day, tariffs

0:17:38.320 --> 0:17:40.400
<v Speaker 6>do tend to be inflationary. We have really good case

0:17:40.440 --> 0:17:43.400
<v Speaker 6>studies historically from either the twenty eighteen round of tariffs.

0:17:43.880 --> 0:17:47.200
<v Speaker 6>Even domestic producers do tend to increase their own prices

0:17:47.240 --> 0:17:49.880
<v Speaker 6>when they get that room from their foreign competition being

0:17:49.880 --> 0:17:50.440
<v Speaker 6>priced up.

0:17:50.720 --> 0:17:52.320
<v Speaker 7>So I would expect.

0:17:51.920 --> 0:17:55.120
<v Speaker 6>This is building on what we already see as again

0:17:55.200 --> 0:17:56.800
<v Speaker 6>fundamentally resurgent inflation.

0:17:57.200 --> 0:18:01.320
<v Speaker 5>So we see quite the rebound and yields treasuries just

0:18:01.400 --> 0:18:03.800
<v Speaker 5>really having the most phenomenally.

0:18:03.480 --> 0:18:04.920
<v Speaker 4>Awkward and strange year.

0:18:05.359 --> 0:18:07.600
<v Speaker 5>Lauren Neil DNA is saying today the rise and yields

0:18:07.600 --> 0:18:09.560
<v Speaker 5>is about the term premium going up, and that's because

0:18:09.600 --> 0:18:12.919
<v Speaker 5>of deficit concerns. He sort of puts away the idea

0:18:12.960 --> 0:18:14.959
<v Speaker 5>that it's anything to do with economic growth.

0:18:15.400 --> 0:18:16.040
<v Speaker 4>What do you think.

0:18:17.720 --> 0:18:20.240
<v Speaker 6>I think there's a real case for the market just

0:18:20.440 --> 0:18:22.800
<v Speaker 6>putting its hand on the scale in this case. So

0:18:22.960 --> 0:18:26.399
<v Speaker 6>we've seen even things like government, you know, kind of

0:18:26.400 --> 0:18:30.600
<v Speaker 6>funding treasury levels, mortgage rate with certainly we think would

0:18:30.640 --> 0:18:32.879
<v Speaker 6>be driven by something like the Federal funds rate, but

0:18:32.960 --> 0:18:36.040
<v Speaker 6>seem much more closely correlated, especially this cycle, with those

0:18:36.520 --> 0:18:39.960
<v Speaker 6>treasury yields and just not reacting in quite the same

0:18:40.000 --> 0:18:42.280
<v Speaker 6>way to the Fed funds rate as they have historically.

0:18:42.400 --> 0:18:43.280
<v Speaker 1>So there is.

0:18:43.200 --> 0:18:45.800
<v Speaker 6>Certainly a lot of money at play right The kind

0:18:45.840 --> 0:18:49.640
<v Speaker 6>of differential between global central bank policy is coming into

0:18:49.680 --> 0:18:52.080
<v Speaker 6>effect here. But overall, the US is still a very

0:18:52.119 --> 0:18:54.560
<v Speaker 6>good place to do business. Anytime we get that additional

0:18:54.680 --> 0:18:58.159
<v Speaker 6>risk premium. Right, we are the gold standards. So I

0:18:58.240 --> 0:19:01.760
<v Speaker 6>see why yields have reacted in the way. Will deficit concerns.

0:19:01.840 --> 0:19:04.320
<v Speaker 6>I'm watching those in the i'll call it medium term.

0:19:04.359 --> 0:19:07.320
<v Speaker 6>I'm looking toward twenty thirty to be where we really

0:19:07.359 --> 0:19:09.440
<v Speaker 6>have to do something about this debt level, something about

0:19:09.480 --> 0:19:12.160
<v Speaker 6>this deficit. That's when I see the problem coming to

0:19:12.359 --> 0:19:14.680
<v Speaker 6>an abrupt end. But in the very near term, the

0:19:14.760 --> 0:19:17.960
<v Speaker 6>US is still the gold standard. So this, technically, yes,

0:19:18.080 --> 0:19:20.760
<v Speaker 6>is what we consider, right, the risk free premium.

0:19:20.800 --> 0:19:23.520
<v Speaker 2>When you think about Lauren doing something about the deficit, Okay,

0:19:23.560 --> 0:19:25.159
<v Speaker 2>we have been here before, but it does feel like

0:19:25.200 --> 0:19:27.600
<v Speaker 2>it's something different, and the pressure is certainly building. And

0:19:27.640 --> 0:19:29.879
<v Speaker 2>if it means cutting the deficit, that means either cutting

0:19:29.920 --> 0:19:33.080
<v Speaker 2>programs or cutting spending somewhere. And I do wonder about

0:19:33.160 --> 0:19:36.000
<v Speaker 2>and worry about the economic impact. So how do you

0:19:36.200 --> 0:19:39.240
<v Speaker 2>see this potentially playing out and the impact on the

0:19:39.320 --> 0:19:42.000
<v Speaker 2>US economy that might result?

0:19:43.000 --> 0:19:45.320
<v Speaker 6>No good answer to that question. There are a lot

0:19:45.359 --> 0:19:48.960
<v Speaker 6>of different things we could do, from cutting programs, raising taxes,

0:19:49.000 --> 0:19:51.880
<v Speaker 6>to monetizing the debt to defaulting on the debt. Right,

0:19:51.920 --> 0:19:53.840
<v Speaker 6>throw our hands in the air and just say we're

0:19:53.840 --> 0:19:56.680
<v Speaker 6>done with it. None of those would be pain free

0:19:56.800 --> 0:19:59.360
<v Speaker 6>for the US economy. Some would be clearly more painful

0:19:59.400 --> 0:20:02.200
<v Speaker 6>than others. But at this point, with our debt burden

0:20:02.240 --> 0:20:05.360
<v Speaker 6>being so high, with our deficit really growing year after

0:20:05.480 --> 0:20:08.399
<v Speaker 6>year after year, contributing to more and more debt with

0:20:08.520 --> 0:20:12.479
<v Speaker 6>higher interest rates, today just the mere interest payments on

0:20:12.520 --> 0:20:15.399
<v Speaker 6>our national debt are a huge and growing problem, again

0:20:15.480 --> 0:20:18.440
<v Speaker 6>contributing to that higher and higher deficit spending year after year.

0:20:18.840 --> 0:20:20.639
<v Speaker 6>It seems like we're far enough down this road that

0:20:20.640 --> 0:20:22.680
<v Speaker 6>there just isn't any easy answer anymore.

0:20:22.760 --> 0:20:24.880
<v Speaker 2>It never is easy. Lauren, Thank you so much. Lauren

0:20:24.960 --> 0:20:27.320
<v Speaker 2>is economist at ITR Economics.

0:20:28.920 --> 0:20:32.760
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Listen live

0:20:32.840 --> 0:20:36.040
<v Speaker 1>each weekday starting at two pm Eastern on applecar Play

0:20:36.080 --> 0:20:38.919
<v Speaker 1>and Android Auto with the Bloomberg Business App. You can

0:20:38.960 --> 0:20:42.199
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0:20:42.280 --> 0:20:45.919
<v Speaker 1>York station, Just say Alexa Play Bloomberg eleven thirty.

0:20:47.520 --> 0:20:50.359
<v Speaker 2>President Biden said he'll order a state funeral in the

0:20:50.400 --> 0:20:53.560
<v Speaker 2>capital for Jimmy Carter, calling the former Democratic president who

0:20:53.560 --> 0:20:58.359
<v Speaker 2>died Sunday an extraordinary leader, statesman and humanitarian shooting us

0:20:58.400 --> 0:21:02.280
<v Speaker 2>now to talk about this and Jimmy Carter's place in

0:21:02.560 --> 0:21:05.720
<v Speaker 2>the presidential history, if you will, and really his legacy

0:21:05.760 --> 0:21:08.160
<v Speaker 2>after he was out of the White House. Is Barbara Perry,

0:21:08.280 --> 0:21:12.520
<v Speaker 2>University of Virginia's Miller Center Presidential Oral History Program CoA chair.

0:21:13.280 --> 0:21:15.719
<v Speaker 2>So nice to have you here with Vonnie and myself.

0:21:15.760 --> 0:21:16.640
<v Speaker 7>Barbara.

0:21:16.960 --> 0:21:19.880
<v Speaker 2>My understanding is that Jimmy Carter was the first president

0:21:19.920 --> 0:21:23.479
<v Speaker 2>that you voted for. Take us back to then and

0:21:23.520 --> 0:21:27.000
<v Speaker 2>tell us how you are thinking about the former president today.

0:21:28.480 --> 0:21:30.240
<v Speaker 7>Oh well, first of all, thank you for having me.

0:21:30.320 --> 0:21:33.480
<v Speaker 10>And I do think of it very personally because I

0:21:33.600 --> 0:21:35.560
<v Speaker 10>saw Jimmy Carter when.

0:21:35.400 --> 0:21:39.440
<v Speaker 7>He was certainly Jimmy who. In nineteen seventy.

0:21:39.080 --> 0:21:44.320
<v Speaker 10>Three, he was here for a Democratic conference of governors

0:21:44.680 --> 0:21:47.400
<v Speaker 10>from the Democratic Party and I was a high schooler

0:21:47.480 --> 0:21:50.560
<v Speaker 10>and I was selected as a page to help with

0:21:50.600 --> 0:21:54.959
<v Speaker 10>that meeting, and people didn't pay too much of attention

0:21:55.080 --> 0:21:57.399
<v Speaker 10>to him than in terms of a presidential candidate. But

0:21:57.440 --> 0:22:01.760
<v Speaker 10>by nineteen seventy five he came back to Louisville for.

0:22:01.680 --> 0:22:04.120
<v Speaker 7>An issues convention for the Democrats, and.

0:22:04.000 --> 0:22:07.359
<v Speaker 10>By that time eight other people had joined him to

0:22:07.480 --> 0:22:09.840
<v Speaker 10>run for the nomination of the Democratic Party. In nineteen

0:22:09.880 --> 0:22:11.919
<v Speaker 10>seventy six, and since I knew that was going to

0:22:11.920 --> 0:22:14.320
<v Speaker 10>be the first election I voted in, I was really

0:22:14.680 --> 0:22:17.720
<v Speaker 10>looking for a candidate, and I thought all the other people,

0:22:18.040 --> 0:22:20.760
<v Speaker 10>these eight other people who were big names in the

0:22:20.760 --> 0:22:22.679
<v Speaker 10>country and around the world, and they had been in

0:22:22.800 --> 0:22:23.840
<v Speaker 10>Washington for years.

0:22:24.040 --> 0:22:26.360
<v Speaker 7>But I was really impressed with Jimmy Carter. I kept

0:22:26.359 --> 0:22:28.440
<v Speaker 7>an open mind. He spoke about.

0:22:28.200 --> 0:22:31.080
<v Speaker 10>Foreign affairs, which wouldn't have been an area of expertise

0:22:31.160 --> 0:22:33.320
<v Speaker 10>for him, but he had traveled all over the world

0:22:33.400 --> 0:22:37.200
<v Speaker 10>and he obviously had a very good mind. So I thought, well,

0:22:37.240 --> 0:22:39.200
<v Speaker 10>this is somebody who could maybe be in the mixed

0:22:39.240 --> 0:22:42.080
<v Speaker 10>and sure enough he won the Iowa caucuses and then

0:22:42.119 --> 0:22:45.160
<v Speaker 10>went on to win the nomination and just improbably went

0:22:45.160 --> 0:22:49.000
<v Speaker 10>on to win the presidency in nineteen seventy six, and

0:22:49.119 --> 0:22:51.400
<v Speaker 10>I decided to go to his inaugural.

0:22:51.520 --> 0:22:54.000
<v Speaker 7>So it was freezing cold. That was so cold.

0:22:53.760 --> 0:22:57.560
<v Speaker 10>The Potomac River froze over. But I had a warm

0:22:57.600 --> 0:23:01.359
<v Speaker 10>feeling because he did something very and he got out

0:23:01.359 --> 0:23:04.280
<v Speaker 10>of the limousine and he and Rosalind walked hand in

0:23:04.320 --> 0:23:06.359
<v Speaker 10>hand from the Capitol all the way to the White

0:23:06.400 --> 0:23:08.960
<v Speaker 10>House with their family behind them. And that was the

0:23:09.000 --> 0:23:11.160
<v Speaker 10>first time a president had done that. It really did

0:23:11.200 --> 0:23:13.520
<v Speaker 10>make them seem like they were of the people.

0:23:13.800 --> 0:23:16.720
<v Speaker 5>It's pretty impossible to do counterfactuals. But what if he

0:23:16.800 --> 0:23:18.480
<v Speaker 5>had had a second term.

0:23:19.560 --> 0:23:22.840
<v Speaker 10>Oh, you know, it's a fascinating question, isn't it.

0:23:22.880 --> 0:23:24.200
<v Speaker 7>I love counterfactuals.

0:23:25.080 --> 0:23:28.359
<v Speaker 10>I think that the country wouldn't necessarily have been better.

0:23:28.400 --> 0:23:31.560
<v Speaker 10>Often by that, I mean that the economy was not

0:23:31.720 --> 0:23:34.000
<v Speaker 10>good when he left office. That was one of the

0:23:34.000 --> 0:23:37.080
<v Speaker 10>main reasons he lost to Ronald Reagan and Jimmy Carter.

0:23:37.280 --> 0:23:39.840
<v Speaker 10>While we think of him, I think now in terms

0:23:39.880 --> 0:23:44.399
<v Speaker 10>of his positive contributions as a post president, there was

0:23:44.440 --> 0:23:47.280
<v Speaker 10>a side to him, maybe that came from his Christian background,

0:23:47.280 --> 0:23:49.400
<v Speaker 10>that was sort of a dark side and a light side.

0:23:49.680 --> 0:23:52.560
<v Speaker 10>And his dark side tended to be a little bit

0:23:52.680 --> 0:23:55.280
<v Speaker 10>lecturing and hectoring of the American people. And that was

0:23:55.320 --> 0:23:58.439
<v Speaker 10>not Ronald Reagan. What we needed in nineteen eighty was

0:23:58.560 --> 0:24:01.919
<v Speaker 10>a positive view, and that's what Ronald Reagan brought to

0:24:02.200 --> 0:24:05.040
<v Speaker 10>the United States. And so I don't know if we

0:24:05.040 --> 0:24:08.239
<v Speaker 10>would necessarily have been better off as a country, but

0:24:08.320 --> 0:24:10.560
<v Speaker 10>we certainly were better off as a country to have

0:24:10.680 --> 0:24:12.760
<v Speaker 10>Jimmy Carter in a post presidency.

0:24:13.119 --> 0:24:13.320
<v Speaker 5>Yeah.

0:24:13.359 --> 0:24:15.200
<v Speaker 2>And having said that, and this is something we talked

0:24:15.240 --> 0:24:17.560
<v Speaker 2>about with our David Weston. I mean, you think about

0:24:18.000 --> 0:24:21.320
<v Speaker 2>him bringing awareness to energy conservation, the solar panels on

0:24:21.359 --> 0:24:24.800
<v Speaker 2>the roof of the White House, creating the Department of Education.

0:24:24.920 --> 0:24:26.840
<v Speaker 2>There's a lot of things that he did that I

0:24:26.880 --> 0:24:30.560
<v Speaker 2>think we credit maybe to the Reagan administration that he

0:24:30.640 --> 0:24:34.639
<v Speaker 2>actually started to put initially into work.

0:24:35.400 --> 0:24:38.480
<v Speaker 10>Yes, well, it turned out that his lecture to the

0:24:38.520 --> 0:24:42.160
<v Speaker 10>American people, the so called misnamed Malay Speech, Busy never

0:24:42.240 --> 0:24:45.480
<v Speaker 10>used the term malaise, but it was a crisis that

0:24:45.520 --> 0:24:48.720
<v Speaker 10>he was calling Americans to face. But instead of doing

0:24:48.760 --> 0:24:51.320
<v Speaker 10>it in a more positive way that an FDR or

0:24:51.400 --> 0:24:53.600
<v Speaker 10>Reagan might have done again, it was a bit too

0:24:53.640 --> 0:24:56.680
<v Speaker 10>negative for the American taste, and particularly since right after

0:24:56.720 --> 0:24:58.800
<v Speaker 10>that he got rid of most of his cabinets, so

0:24:58.840 --> 0:25:01.720
<v Speaker 10>it made people feel like things were a bit unstable. So, yes,

0:25:01.760 --> 0:25:04.720
<v Speaker 10>he did the things you just mentioned, and he also

0:25:05.040 --> 0:25:09.040
<v Speaker 10>upgraded our defenses during the Cold War that obviously Ronald

0:25:09.119 --> 0:25:12.280
<v Speaker 10>Reagan could could work on that, and in the end,

0:25:12.480 --> 0:25:15.320
<v Speaker 10>thanks goodness, under George Bush the First and.

0:25:15.400 --> 0:25:16.080
<v Speaker 7>The Cold War.

0:25:16.480 --> 0:25:19.000
<v Speaker 10>So I do think that there were many positives from

0:25:19.080 --> 0:25:22.920
<v Speaker 10>the Carter administration, but there were just some unlucky events

0:25:22.960 --> 0:25:26.600
<v Speaker 10>that he either mishandled or wasn't able to handle, and

0:25:26.640 --> 0:25:28.320
<v Speaker 10>that brought Ronald Reagan to power.

0:25:28.400 --> 0:25:31.000
<v Speaker 4>Barbara, we're out of time, But is there a lineage?

0:25:31.000 --> 0:25:33.439
<v Speaker 5>Do you see any politicians out there that are carrying

0:25:33.440 --> 0:25:34.960
<v Speaker 5>on a Jimmy Carter type legacy?

0:25:36.080 --> 0:25:37.600
<v Speaker 7>I do, and it's Joe Biden.

0:25:37.720 --> 0:25:41.560
<v Speaker 10>And as he said yesterday, decency, decency, decency, That's what

0:25:41.640 --> 0:25:45.040
<v Speaker 10>he took from Jimmy Carter, and that is Joe Biden.

0:25:45.480 --> 0:25:48.360
<v Speaker 10>Where that will go come this January twentieth is hard

0:25:48.400 --> 0:25:49.040
<v Speaker 10>to say.

0:25:49.280 --> 0:25:51.400
<v Speaker 5>That's for sure, all right, Barbara, thank you so much

0:25:51.440 --> 0:25:52.639
<v Speaker 5>for giving us your time today.

0:25:52.880 --> 0:25:55.520
<v Speaker 4>And he was the first president she voted for as well.

0:25:55.560 --> 0:25:58.320
<v Speaker 2>Carol, I love that story and just taking us back there.

0:25:58.320 --> 0:26:00.920
<v Speaker 2>But is the point of him and his moral compass

0:26:01.680 --> 0:26:04.040
<v Speaker 2>is certainly something that in this division that we are

0:26:04.080 --> 0:26:06.560
<v Speaker 2>seeing and money in politics and so many things that

0:26:06.600 --> 0:26:09.000
<v Speaker 2>seem to get in the way. It's just something to

0:26:09.040 --> 0:26:11.080
<v Speaker 2>really think about in this current environment.

0:26:11.160 --> 0:26:12.000
<v Speaker 4>Liked on exactly.

0:26:12.119 --> 0:26:15.560
<v Speaker 5>That was Barbara Perry, University of Virginia's Military Center Presidential

0:26:15.680 --> 0:26:16.560
<v Speaker 5>Oral History.

0:26:16.320 --> 0:26:17.359
<v Speaker 4>Program co chair.

0:26:17.760 --> 0:26:20.000
<v Speaker 5>Thank you for helping us honor the life of President

0:26:20.119 --> 0:26:20.760
<v Speaker 5>Jimmy Carter.

0:26:21.200 --> 0:26:22.280
<v Speaker 4>This is Bloomberg.

0:26:23.119 --> 0:26:26.320
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