WEBVTT - Bloomberg Wall Street Week - August 9th, 2024

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<v Speaker 1>This is Bloomberg Wall Street Week. The global push into infrastructure,

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<v Speaker 1>breaking the IPO logjam in text, the financial stories that

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<v Speaker 1>shape our work, cutting inflation without losing jobs. Do we

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<v Speaker 1>need rate cuts and if so? How many? Investing in

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<v Speaker 1>a time of geopolitical.

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<v Speaker 2>Turmoil Through the eyes of the most influential voices.

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<v Speaker 1>Ten Rogueff economists of Harvard, former FDIC had Shila bet

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<v Speaker 1>Ge CEO, Larry Culp, San Francisco fed President Mary Daily Bloomberg.

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<v Speaker 2>Wall Street Week with David Weston from Bloomberg Radio.

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<v Speaker 1>Market turmoil, Middle East threats, and the presidential race is

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<v Speaker 1>off and running. This is Bloomberg Wall Street Week. I'm

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<v Speaker 1>David Weston. This week, Harvard economist Greg Mank on facing

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<v Speaker 1>up to the federal deficit.

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<v Speaker 3>You can't leave your children a negative bequest unless you're

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<v Speaker 3>doing it through the government.

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<v Speaker 1>Former Pentagon Number two Michelle Flornoy on what's needed for

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<v Speaker 1>the US to face a more dangerous world.

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<v Speaker 4>We really have to take a fresh look at what

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<v Speaker 4>we're spending on and where we're investing.

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<v Speaker 1>And Jack Hittery of Sandbox AQ on what's real and

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<v Speaker 1>what's hype in the world of artificial intelligence.

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<v Speaker 5>This is a great moment for a I that takes

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<v Speaker 5>us beyond the chat GPT.

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<v Speaker 1>We start with a wild week in the markets, stocks

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<v Speaker 1>and bonds responded to weak jobs numbers, a shift in

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<v Speaker 1>Japanese monetary policy, and geopolitical uncertainty. To take us through

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<v Speaker 1>what it all means, we turn once again to our

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<v Speaker 1>special contributor, Larry Summers of Harvard. So, Larry a lot

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<v Speaker 1>to sort through here. What was your overall take on

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<v Speaker 1>the terminil the marketplace and the speculation, the speculation that

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<v Speaker 1>FED maybe should have an emergency rate cut.

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<v Speaker 6>I would shay on current facts, given that there has

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<v Speaker 6>been some recovery, given that volatility has.

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<v Speaker 7>Come way down.

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<v Speaker 6>It were not out of the woods. You can't be certain.

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<v Speaker 6>The FED certainly needs to be watching carefully, but I

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<v Speaker 6>think an emergency response would be launching panicked, overheated and

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<v Speaker 6>counterproductive on current facts, Which doesn't mean that the FED

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<v Speaker 6>shouldn't be watching very closely. Before they have another decision

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<v Speaker 6>to make in September, there's going to be a lot

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<v Speaker 6>more data that it's going to come in, and I

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<v Speaker 6>think they should make clear that they're going to be

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<v Speaker 6>watching all that data and they're going to make a

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<v Speaker 6>decision reflecting the need to balance the concern of making

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<v Speaker 6>sure that we have stopped inflation with the concern of

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<v Speaker 6>maximizing employment, and I think they need to not be

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<v Speaker 6>pressured into specificity of a kind that is impossible.

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<v Speaker 1>Let me pick up on one of the things you

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<v Speaker 1>mentioned was volatility. The VIC really did spike up, I

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<v Speaker 1>think over sixty, maybe the highest it had been since

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<v Speaker 1>the pandemic first hit. How much attention should the FED

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<v Speaker 1>pay to that volatility index what it might be telling

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<v Speaker 1>you about the markets are functioning.

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<v Speaker 6>I actually think that the SEC and the relevant exchanges

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<v Speaker 6>may want to pay a bit of attention. My understanding

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<v Speaker 6>is that because there are some ill liquid instruments that

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<v Speaker 6>go into the calculation of the VIX, the VICS had

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<v Speaker 6>a somewhat artificial movement on Monday that if one looks

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<v Speaker 6>at the vic's futures, which are a somewhat different instrument,

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<v Speaker 6>they the movements were much much less drum. So I

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<v Speaker 6>certainly had my attention caught by the vics early in

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<v Speaker 6>the day on Monday. But as I have looked into it,

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<v Speaker 6>I think you were learning more about issues around liquidity

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<v Speaker 6>in the options markets than you were about some profound

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<v Speaker 6>reassessment of the American economy, and since that is so

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<v Speaker 6>widely watched an indicator issues of liquidity. Issues around how

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<v Speaker 6>it settles, I think should be studied by the relevant

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<v Speaker 6>parties in the industry and the regulator, the SEC. Larry.

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<v Speaker 1>We spent much of the week with various people getting

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<v Speaker 1>advice to the FAT. It included our former President Donald

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<v Speaker 1>Trump on Thursday and a long news conference and which

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<v Speaker 1>he addressed it, reiterating he thinks the president should have

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<v Speaker 1>some say over monetary policy and rate setting, including saying, boy,

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<v Speaker 1>he'd made an awful lot of money and he thinks

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<v Speaker 1>he knows better than the chair of the FED. You

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<v Speaker 1>had a reaction to that. I know you posted on

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<v Speaker 1>that question. Give us your stance about how dangerous that

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<v Speaker 1>could be.

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<v Speaker 6>I guess I can't say I was surprised by ex

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<v Speaker 6>President Trump because he had said things like that before,

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<v Speaker 6>but I sure was appalled at.

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<v Speaker 8>How bad an idea it was.

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<v Speaker 6>I mean, start with the preposterous arrogance. The Central Bank

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<v Speaker 6>has nineteen members of the FOMC who spend more or

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<v Speaker 6>less all their time scrutinizing every economic statistic. President's got

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<v Speaker 6>a lot of things to do at any given moment,

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<v Speaker 6>and he's actually much less close to the economy. God knows,

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<v Speaker 6>the skills associated with being an economic forecaster and the

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<v Speaker 6>skills associated with being a successful real estate operator are very,

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<v Speaker 6>very different ones. So I don't think there's any particular

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<v Speaker 6>reason to think that a president of the United States

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<v Speaker 6>would have a intellectual contribution to make. And the reason

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<v Speaker 6>why countries all over the world this isn't just.

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<v Speaker 7>An American thing, but countries essentially.

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<v Speaker 6>All over the world have moved to independent central banks

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<v Speaker 6>is that they recognize a profound conflict of interest.

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<v Speaker 7>Who's ever an.

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<v Speaker 6>Elective or political office always is tempted to put more

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<v Speaker 6>money lower Intereststrates hit the accelerator hard to get a

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<v Speaker 6>boost to the economy to make people feel good, But

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<v Speaker 6>when everybody sees that coming, it doesn't actually make people

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<v Speaker 6>feel good. It just raises the expectation they have for inflation,

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<v Speaker 6>so you get more inflation and you don't get any

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<v Speaker 6>substantial output gain.

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<v Speaker 1>Okay, Larry, thank you so very much once again for

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<v Speaker 1>being with us. That is our special Wall Street Week contributor.

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<v Speaker 1>He is Larry Summers of Harvard Markets went on a

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<v Speaker 1>wild ride this week in the wake of the boj

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<v Speaker 1>moved to titan and the week US jobs numbers from

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<v Speaker 1>last Friday, but after gapping down when trading began the

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<v Speaker 1>week with the VIC shooting up to over sixty, things

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<v Speaker 1>settled down a bit. The S and P five hundred

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<v Speaker 1>ended the week at fifty three forty four, just about

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<v Speaker 1>where it was at the end of last week and

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<v Speaker 1>only slightly below the median year end number for our

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<v Speaker 1>Bloomberg elves of fifty five sixty eight. The Nasdaq hit

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<v Speaker 1>a similar air pocket Monday morning, but ended the week

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<v Speaker 1>up two point six percent from Monday's lows, again just

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<v Speaker 1>under where it ended last week. The yield on the

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<v Speaker 1>tenure in the meantime, added about fourteen bases points over

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<v Speaker 1>the course of the week to end at three point

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<v Speaker 1>nine to four percent to take us through the week.

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<v Speaker 1>In the markets, we welcome back now, David Bianco, DWS

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<v Speaker 1>America's Chief investment Officer. Always great to have you here, David,

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<v Speaker 1>and this is a perfect week to have you because

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<v Speaker 1>where there was a lot of action in the market,

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<v Speaker 1>what did you make of it?

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<v Speaker 9>It was wild indeed for in August, and even though

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<v Speaker 9>the S and P is back to where we were

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<v Speaker 9>last Friday, let's just for a moment talk a little

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<v Speaker 9>bit about what the causes were for the volatility around

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<v Speaker 9>the world. As said, a lot of conversation around the

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<v Speaker 9>Bank of Japan hiking, poor timing around the hiking, and

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<v Speaker 9>the unwind of the end carry trade, this legendary en

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<v Speaker 9>carriage trade. It's real, always difficult to know just how

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<v Speaker 9>big it is. But what happened last week was that

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<v Speaker 9>not only did the BOJ hike, the FED put on

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<v Speaker 9>the table the possibility of a cut in September. But then,

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<v Speaker 9>don't forget, we had that jobs report on Friday, and

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<v Speaker 9>the jobs report had a jump of further climb in

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<v Speaker 9>the unemployment eight to four point three percent, and it

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<v Speaker 9>triggered what a lot of people are calling the somb rules,

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<v Speaker 9>some indication of a recession in progress. The job creation

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<v Speaker 9>numbers were still good one hundred and fourteen thousand on

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<v Speaker 9>the payroll survey, but a lot of panic broke out,

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<v Speaker 9>particularly in the bond market, that maybe the Fed's way

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<v Speaker 9>behind and maybe emergency cuts are necessary. So just as

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<v Speaker 9>the BOJ what I think they could have done this

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<v Speaker 9>earlier in the year, decided to do a hike, last week,

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<v Speaker 9>you have the FED and then data suggesting the FED

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<v Speaker 9>maybe cutting a lot. It was kind of crossing the streams.

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<v Speaker 9>It's really dangerous across the streams to major central banks

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<v Speaker 9>moving in different directions, and that sparked ye appreciation people

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<v Speaker 9>trying to probably pay back some of their yen loans.

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<v Speaker 9>That's part of what created all the volativity and made markets,

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<v Speaker 9>particularly Japan, fall out of bed on Sunday night, Yet appreciated.

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<v Speaker 9>Japanese stocks down more than twenty percent on one point,

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<v Speaker 9>led by the big banks. It hurt other global equity

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<v Speaker 9>markets on Monday. But we've recovered and there's more going

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<v Speaker 9>on though than Japan during the week and last week.

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<v Speaker 1>But David, how much did you think was the markets

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<v Speaker 1>and how much was the economy? I mean, you referred

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<v Speaker 1>to recession possibility, and some of the banks started saying, well,

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<v Speaker 1>we're taking up our probability of recession, something that last

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<v Speaker 1>year we thought was a real probability, Now not so much.

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<v Speaker 1>Where are you on the probability of recession?

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<v Speaker 9>I think we're still a safe distance from recession. We

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<v Speaker 9>do dbs. We expect the economy to slow further, but

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<v Speaker 9>I don't think we're slipping into a recession. Not right

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<v Speaker 9>now what happened this week late last week, I think

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<v Speaker 9>is more about investors overreacting, sometimes putting words into policymaker's

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<v Speaker 9>mouths about what they may be doing, or maybe just

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<v Speaker 9>overreacting to step in one direction how much further you're

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<v Speaker 9>going to go, whether it be.

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<v Speaker 4>Hikes or cuts.

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<v Speaker 9>But there was this background of other concerns. We've had

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<v Speaker 9>geopolitical risks, We've had investors take an additional concern with

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<v Speaker 9>what remains a week economy in China and a week

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<v Speaker 9>manufacturing economy in Europe and still weak in the United

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<v Speaker 9>States outside of data centers and chips, and then an

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<v Speaker 9>earning season. Well, the earning season is basically done. Ninety

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<v Speaker 9>percent of companies have reported, and while the results of

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<v Speaker 9>coming okay, we're still hearing from the non tech companies

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<v Speaker 9>that businesses sluggish, manufacturing, consumer businesses. They're cautious about the

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<v Speaker 9>outlook as well. And I would just say, even though

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<v Speaker 9>we've got ten percent year on year growth at of

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<v Speaker 9>SMP earnings about sixty dollars a share in the second quarter,

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<v Speaker 9>it's all still coming from big cap tech.

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<v Speaker 1>It doesn't help it's in August and so the markets

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<v Speaker 1>are not as liquid as we normally expect, right, But

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<v Speaker 1>what are you expecting for the rest of the year,

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<v Speaker 1>given where we are in earnings right now, all the factors,

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<v Speaker 1>where do you think the SMP five hundreds headed for

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<v Speaker 1>the rest of the year.

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<v Speaker 9>Well, I think market's going to stay volatile. Markets can

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<v Speaker 9>be valuatle particularly any day any week. By the way,

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<v Speaker 9>options and futures markets can be even more volatile. I

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<v Speaker 9>think the volatility is with us. We've been shaken by

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<v Speaker 9>some of the events that that broke out, and I

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<v Speaker 9>think that those risks and those concerns, particularly the election

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<v Speaker 9>and the uncertainty for what that means for taxes and tariffs,

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<v Speaker 9>and I think investors want to see some election outcome

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<v Speaker 9>that keeps taxes low and prevents tariffs from going higher.

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<v Speaker 9>But you know, there's a lot of uncertainty around the elections,

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<v Speaker 9>and I think markets will stay volatile at least until then.

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<v Speaker 1>David, thank you so much for being here. That's David

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<v Speaker 1>Bianco of DWS coming up. Despite the market volatility, the

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<v Speaker 1>US economy continues its relatively strong performance. We ask carbon

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<v Speaker 1>economist Greg Mank for his assessment of the economy and

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<v Speaker 1>what the next president needs to do about it.

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<v Speaker 3>I think we need to at some point move to

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<v Speaker 3>a sustainable fiscal policy.

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<v Speaker 1>That's next on Wall Street Week on Bloomberg.

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<v Speaker 2>This is Bloomberg Wall Street Week with David Weston from

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<v Speaker 2>Bloomberg Radio.

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<v Speaker 1>This is Waltere Week. I'm David Weston. Jobs numbers may

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<v Speaker 1>have come in weaker than expected, and some consumers spending

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<v Speaker 1>may be softening, but overall the economy remains strong and

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<v Speaker 1>inflation is moderating. We talked with Harvard economics professor Greg

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<v Speaker 1>Mankew at the Aspen Economic Strategy Group meetings about how

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<v Speaker 1>the FED is doing and what comes next.

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<v Speaker 7>I think we're there.

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<v Speaker 3>I give FED low marks early on because I thought

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<v Speaker 3>they were slow off the mark, but then they once

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<v Speaker 3>they realized the problem, they reacted vigorously. And I think

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<v Speaker 3>we're basically very close to target now. And if you

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<v Speaker 3>look at the measures of inflation, a big part of

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<v Speaker 3>that is shelter, and shelter we know is measures a lag.

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<v Speaker 3>If you look at the private sector measures of shelter inflation, rents.

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<v Speaker 7>Are basically flat. Now there's no inflation in that.

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<v Speaker 3>So I think the overall measured inflation rates we're get

0:13:49.280 --> 0:13:51.079
<v Speaker 3>to CEPI say that's going to be coming down to

0:13:51.120 --> 0:13:52.960
<v Speaker 3>target in the next six months.

0:13:53.160 --> 0:13:56.120
<v Speaker 1>So the economy is doing well by most measures. A

0:13:56.200 --> 0:13:58.480
<v Speaker 1>lot of people want to move to our country, right,

0:13:58.480 --> 0:14:00.400
<v Speaker 1>they want to invest in our country, and then a

0:14:00.440 --> 0:14:03.679
<v Speaker 1>lot of people are very unhappy with the economy. How

0:14:03.720 --> 0:14:05.040
<v Speaker 1>do you square those two things.

0:14:05.240 --> 0:14:08.239
<v Speaker 3>Well, the pandemic had a strange effect on people's finances

0:14:08.280 --> 0:14:10.400
<v Speaker 3>because if you think back to the early pandemic, we

0:14:10.440 --> 0:14:12.680
<v Speaker 3>were sending people lots of checks, whether it's just general

0:14:12.720 --> 0:14:16.520
<v Speaker 3>stimulus checks or expanded unemployment insurance. So people were getting

0:14:16.559 --> 0:14:19.040
<v Speaker 3>lots of income, but they couldn't spend it, so they're

0:14:19.080 --> 0:14:21.200
<v Speaker 3>saving a lot. They are paying back down their credit

0:14:21.240 --> 0:14:24.520
<v Speaker 3>card bills. So even though people are kind of unhappy

0:14:24.520 --> 0:14:27.040
<v Speaker 3>being stuck up in their houses, their finances are pretty good.

0:14:27.160 --> 0:14:30.160
<v Speaker 3>So let's look where are now. All these stimulus checks

0:14:30.160 --> 0:14:33.640
<v Speaker 3>have disappeared. People are spending more and so their credit

0:14:33.640 --> 0:14:37.000
<v Speaker 3>cards bollses are building up, credit card delinquencies are arising

0:14:37.040 --> 0:14:38.840
<v Speaker 3>a little bit. So I think, if you're comparing where

0:14:38.880 --> 0:14:41.760
<v Speaker 3>we were to twenty twenty, well better off because we're

0:14:41.760 --> 0:14:42.520
<v Speaker 3>not in a pandemic.

0:14:43.040 --> 0:14:45.200
<v Speaker 7>But people's finances are actually slightly worse.

0:14:45.720 --> 0:14:47.760
<v Speaker 1>There's a lot of talk about when the federal cut

0:14:47.800 --> 0:14:49.960
<v Speaker 1>how much we will cut? Put that to one side,

0:14:50.200 --> 0:14:52.080
<v Speaker 1>Where do you think we will end up? Where we

0:14:52.200 --> 0:14:54.440
<v Speaker 1>end up through this cycle, Because there's a debate really

0:14:54.440 --> 0:14:55.840
<v Speaker 1>on whether we're going to go back down to really

0:14:55.880 --> 0:14:58.240
<v Speaker 1>low interest rates or whether there are structural factors that

0:14:58.360 --> 0:14:59.400
<v Speaker 1>will keep them elevated.

0:14:59.560 --> 0:15:01.240
<v Speaker 3>I don't think we know, and I think the Fed

0:15:01.320 --> 0:15:03.640
<v Speaker 3>is going to have to play it by year. I

0:15:03.800 --> 0:15:06.200
<v Speaker 3>think there were good reasons why we had a thirty

0:15:06.280 --> 0:15:09.800
<v Speaker 3>year decline in real interest rates prior to the pandemic

0:15:10.000 --> 0:15:13.200
<v Speaker 3>and the recent recent events to what I sent, all

0:15:13.200 --> 0:15:14.800
<v Speaker 3>those forces still in play, and to what I sent,

0:15:14.920 --> 0:15:17.680
<v Speaker 3>they're new forces, like very big budget deficits that are

0:15:17.680 --> 0:15:19.120
<v Speaker 3>going to keep them straights high. I don't think we

0:15:19.160 --> 0:15:22.040
<v Speaker 3>really know yet. Partly it's going to depend on future policy,

0:15:22.120 --> 0:15:23.280
<v Speaker 3>and the next present is going to have to make

0:15:23.320 --> 0:15:26.440
<v Speaker 3>decisions over taxes and spending, and so I don't think

0:15:26.440 --> 0:15:27.720
<v Speaker 3>we really know where the FED is going to end up.

0:15:27.720 --> 0:15:29.800
<v Speaker 3>It's probably lower than it is today, but probably higher

0:15:29.800 --> 0:15:32.400
<v Speaker 3>than it was before the hiking cycle began.

0:15:32.880 --> 0:15:35.320
<v Speaker 1>You mentioned the debt and the deficit. How big are

0:15:35.320 --> 0:15:36.440
<v Speaker 1>problem is after the economy?

0:15:36.880 --> 0:15:39.080
<v Speaker 7>Well, I think there's two problems with the debt.

0:15:39.120 --> 0:15:41.760
<v Speaker 3>I think this is one of the ordinary problems, and

0:15:41.760 --> 0:15:45.680
<v Speaker 3>the extraordinary problems. The ordinary problems are basically passing a

0:15:46.120 --> 0:15:48.600
<v Speaker 3>debt onto our children. You can't leave your children a

0:15:48.600 --> 0:15:51.360
<v Speaker 3>negative bequest unless you're doing it through the government, and

0:15:51.360 --> 0:15:53.120
<v Speaker 3>that's what we're basically doing because we're leaving our children

0:15:53.160 --> 0:15:55.160
<v Speaker 3>in negative bequest by running up the debt. So they're

0:15:55.160 --> 0:15:58.200
<v Speaker 3>going to face higher taxes that will encourage some crowding

0:15:58.200 --> 0:16:01.400
<v Speaker 3>out of private capital, reduced activity growth. And then this

0:16:01.480 --> 0:16:03.520
<v Speaker 3>is the extraordinary problems of debt. You know, could the

0:16:03.600 --> 0:16:07.680
<v Speaker 3>United States turn into Greece or Argentina where there's a

0:16:07.760 --> 0:16:10.640
<v Speaker 3>fiscal crisis. The markets don't think there's going to be one,

0:16:10.640 --> 0:16:13.360
<v Speaker 3>that they're expecting us to be responsible. I hope they're right,

0:16:13.640 --> 0:16:16.280
<v Speaker 3>But the laws of economics that played out in Greece

0:16:16.320 --> 0:16:19.200
<v Speaker 3>and Argentina could happen in the United States. And so

0:16:19.240 --> 0:16:21.560
<v Speaker 3>I think we need to at some point move to

0:16:21.560 --> 0:16:23.760
<v Speaker 3>a sustainable fiscal policy.

0:16:23.560 --> 0:16:26.920
<v Speaker 1>Even short of Greece or Argentina. At some point, does

0:16:27.000 --> 0:16:32.360
<v Speaker 1>the deficit problem curtail the fedibility actually to control the economy,

0:16:32.400 --> 0:16:34.880
<v Speaker 1>because at some point the markets take over in setting

0:16:34.960 --> 0:16:35.840
<v Speaker 1>rates from the FED.

0:16:36.560 --> 0:16:38.640
<v Speaker 7>Well, the FED would have to set higher rates.

0:16:38.680 --> 0:16:40.200
<v Speaker 3>I think that I'm not really worried about the FED

0:16:40.280 --> 0:16:43.000
<v Speaker 3>losing control sort of a fiscal crisis. I'm not worried

0:16:43.000 --> 0:16:46.120
<v Speaker 3>about the FED losing control of the economy, but it

0:16:46.200 --> 0:16:48.800
<v Speaker 3>doesn't mean the FED is going to have to place

0:16:48.880 --> 0:16:51.200
<v Speaker 3>higher rates, and that could be a problem for fiscal policy.

0:16:51.240 --> 0:16:54.600
<v Speaker 3>These higher rates put pressure on the budget deficit, and

0:16:54.640 --> 0:16:57.240
<v Speaker 3>as a result, the tension between fiscal policy makers and

0:16:57.240 --> 0:16:59.280
<v Speaker 3>monetary policy makers could be exacerbated.

0:17:00.000 --> 0:17:02.320
<v Speaker 1>How we defined debt crisis? What are the prospects for

0:17:02.360 --> 0:17:04.680
<v Speaker 1>the next president, whoever it is, we'll have to deal

0:17:04.760 --> 0:17:06.159
<v Speaker 1>with the debt crisis. And I guess that really is

0:17:06.160 --> 0:17:07.480
<v Speaker 1>bond vigilantes, right.

0:17:07.320 --> 0:17:10.240
<v Speaker 3>Well, it is exactly. It's bond bond vigilantes. And I

0:17:10.240 --> 0:17:12.280
<v Speaker 3>don't think we know it's partly psychological. At what point

0:17:12.280 --> 0:17:14.920
<v Speaker 3>do people become scared. I don't think it's gonna happen soon,

0:17:15.520 --> 0:17:19.199
<v Speaker 3>but I think at some point in our lifetimes the

0:17:19.240 --> 0:17:20.959
<v Speaker 3>current policy has to be changed, because if you look

0:17:21.000 --> 0:17:24.119
<v Speaker 3>at the CBO projections on their current policy, that GDP

0:17:24.280 --> 0:17:26.080
<v Speaker 3>ratio is going up to infinity, and we know that's

0:17:26.080 --> 0:17:26.760
<v Speaker 3>not gonna happen.

0:17:27.000 --> 0:17:29.360
<v Speaker 7>So at some point that's gonna change.

0:17:29.359 --> 0:17:31.240
<v Speaker 3>It's probably not gonna change the next few years, but

0:17:31.280 --> 0:17:33.040
<v Speaker 3>it's something we're gonna have to deal with, and how

0:17:33.080 --> 0:17:35.400
<v Speaker 3>to deal with that does not be an easy political problem.

0:17:35.760 --> 0:17:38.600
<v Speaker 1>What about the election coming up? In so far as

0:17:38.640 --> 0:17:40.880
<v Speaker 1>we know anything, we have I think a sense maybe

0:17:40.920 --> 0:17:43.359
<v Speaker 1>if we're a second president, Trump would take us. I

0:17:43.359 --> 0:17:45.280
<v Speaker 1>don't know how much we know abou Kamala Harris, but

0:17:45.359 --> 0:17:46.960
<v Speaker 1>what are the alternatives? You see them?

0:17:47.119 --> 0:17:47.359
<v Speaker 6>Well?

0:17:47.440 --> 0:17:50.120
<v Speaker 3>One of the big issues for me is the role

0:17:50.200 --> 0:17:52.800
<v Speaker 3>of the United States and the global economy.

0:17:52.960 --> 0:17:54.800
<v Speaker 7>I know it's a sort of a bad word these

0:17:54.840 --> 0:17:55.760
<v Speaker 7>days that I'm a globalist.

0:17:55.840 --> 0:17:58.439
<v Speaker 3>I actually believe that integrating the United States with the

0:17:58.440 --> 0:18:00.400
<v Speaker 3>global economy is a good thing. So I'm in favor

0:18:00.400 --> 0:18:02.840
<v Speaker 3>of free trade agreements. I'm in favor of more relaxed

0:18:02.880 --> 0:18:06.200
<v Speaker 3>immigration rules. This is a sort of mainstream view back

0:18:06.240 --> 0:18:09.760
<v Speaker 3>in the Bush and Clinton years. Now is a sort

0:18:09.760 --> 0:18:12.160
<v Speaker 3>of backlash against it. I think that backlash has been

0:18:12.320 --> 0:18:14.600
<v Speaker 3>is ill informed, and I think at some point we

0:18:14.640 --> 0:18:16.359
<v Speaker 3>need to go back to being a leader in the

0:18:16.359 --> 0:18:18.359
<v Speaker 3>global economy, which I think is good not only for

0:18:18.400 --> 0:18:20.760
<v Speaker 3>the rest of the world, but also for the United States.

0:18:21.280 --> 0:18:23.720
<v Speaker 1>What about US relationships with China, when it comes to

0:18:23.760 --> 0:18:24.920
<v Speaker 1>the economy.

0:18:25.000 --> 0:18:28.480
<v Speaker 3>Well, China is the big challenge, not not so much economically,

0:18:28.560 --> 0:18:31.560
<v Speaker 3>but I think politically and especially the threat in Taiwan.

0:18:31.600 --> 0:18:34.200
<v Speaker 3>So I do worry a lot about sort of what's

0:18:34.240 --> 0:18:37.080
<v Speaker 3>going on in that part of the world. I understand

0:18:37.359 --> 0:18:39.280
<v Speaker 3>I don't really like industrial policy in general, but I

0:18:39.400 --> 0:18:42.560
<v Speaker 3>understand the motivation had the Chips Act because almost all

0:18:42.560 --> 0:18:45.239
<v Speaker 3>the high end chips are coming from Taiwan's semiconductor and

0:18:45.280 --> 0:18:46.920
<v Speaker 3>that's a very vulnerable.

0:18:46.440 --> 0:18:47.080
<v Speaker 7>Part of the world.

0:18:47.320 --> 0:18:51.960
<v Speaker 3>So relationship with China is very important, but it's not

0:18:51.960 --> 0:18:55.000
<v Speaker 3>so much an economic relationship as a geopolitical relationship, and

0:18:55.040 --> 0:18:56.320
<v Speaker 3>that's the part we need to negotiate.

0:18:56.920 --> 0:19:01.080
<v Speaker 1>That was Harvard economics professor Greg mank. Whoever wins the

0:19:01.160 --> 0:19:05.679
<v Speaker 1>US presidency in November, they will confront geopolitical hotspots around

0:19:05.680 --> 0:19:08.800
<v Speaker 1>the world, from the Middle East to Ukraine to the

0:19:08.880 --> 0:19:12.359
<v Speaker 1>South China Sea. Michelle Flornoy was the Deputy Secretary of

0:19:12.359 --> 0:19:15.199
<v Speaker 1>Defense under President Obama, and when we sat with her

0:19:15.280 --> 0:19:18.879
<v Speaker 1>at the Aspen Economic Strategy Meetings last week, we started

0:19:18.920 --> 0:19:20.919
<v Speaker 1>with what the Defense Department needs to do to be

0:19:20.960 --> 0:19:23.880
<v Speaker 1>prepared for the range of challenges it faces.

0:19:24.400 --> 0:19:26.720
<v Speaker 4>I think the United States you know, we're a global power.

0:19:26.800 --> 0:19:31.399
<v Speaker 4>We have interests, very real interests in many parts of

0:19:31.400 --> 0:19:35.240
<v Speaker 4>the world. So if we get engaged in say deterring

0:19:35.359 --> 0:19:40.280
<v Speaker 4>a Chinese attack on Taiwan, or deterring Russian aggression beyond

0:19:40.359 --> 0:19:43.399
<v Speaker 4>Ukraine and to NATO, we have to also be able

0:19:43.440 --> 0:19:47.119
<v Speaker 4>to still have presence and deterrence ability elsewhere so that

0:19:47.320 --> 0:19:50.040
<v Speaker 4>the Middle East doesn't also erupt. So you never want

0:19:50.080 --> 0:19:52.200
<v Speaker 4>to be in a situation where your engagement in one

0:19:52.240 --> 0:19:58.480
<v Speaker 4>region basically provokes or encourages another adversary elsewhere to start

0:19:58.520 --> 0:20:01.280
<v Speaker 4>to take advantage of that and start something else. And

0:20:01.359 --> 0:20:03.879
<v Speaker 4>so you really do need to have the ability to

0:20:03.960 --> 0:20:07.760
<v Speaker 4>look across multiple theaters at a time and to be

0:20:07.840 --> 0:20:10.919
<v Speaker 4>fully engaged in one while deterring in the others.

0:20:11.240 --> 0:20:13.560
<v Speaker 1>You mentioned some of the relationships with allies. Obviously we

0:20:13.560 --> 0:20:15.920
<v Speaker 1>have NATO when it comes to Europe, and now there's

0:20:15.960 --> 0:20:18.800
<v Speaker 1>more and more development in Asia, including these talks among

0:20:18.880 --> 0:20:21.680
<v Speaker 1>South Korea, Japan, and the United States we just have happened.

0:20:21.880 --> 0:20:23.840
<v Speaker 1>How much can that relieve some of the pressure on

0:20:23.840 --> 0:20:25.000
<v Speaker 1>the United States itself?

0:20:25.320 --> 0:20:29.800
<v Speaker 4>First, it's extremely important politically and in terms of demonstrating resolves.

0:20:29.800 --> 0:20:34.000
<v Speaker 4>So if you're trying to affect Hijipang's calculus about whether

0:20:34.040 --> 0:20:37.080
<v Speaker 4>to use force in the region, knowing that he won't

0:20:37.119 --> 0:20:40.000
<v Speaker 4>just have to deal with a US response, but a

0:20:40.080 --> 0:20:43.520
<v Speaker 4>Japanese response, a Korean response, an Australian response, and others

0:20:43.560 --> 0:20:46.639
<v Speaker 4>in the region who you know coming together in coalition

0:20:46.800 --> 0:20:49.560
<v Speaker 4>to try to protect the rules based order in Asia.

0:20:49.840 --> 0:20:54.479
<v Speaker 4>And then these allies increasingly, particularly Japan, Korea, Australia, they

0:20:54.520 --> 0:20:59.119
<v Speaker 4>have real capability to contribute to any sort of crisis situations.

0:20:59.359 --> 0:21:01.160
<v Speaker 1>There are a lot of fiscal pressures in the United

0:21:01.200 --> 0:21:03.760
<v Speaker 1>States right now. At the same time, many people think

0:21:03.920 --> 0:21:06.959
<v Speaker 1>we're going to have to commit more resources actually to defense,

0:21:07.040 --> 0:21:08.640
<v Speaker 1>given some of the things you've just talked about. Larry

0:21:08.640 --> 0:21:11.240
<v Speaker 1>Summers said that repeatedly on this program. We're looking forward,

0:21:11.280 --> 0:21:13.720
<v Speaker 1>we're going to spend more on defense. Are we spending enough?

0:21:13.880 --> 0:21:15.359
<v Speaker 1>Do we need to spend it more and if so,

0:21:15.400 --> 0:21:16.040
<v Speaker 1>how much more?

0:21:16.760 --> 0:21:19.720
<v Speaker 4>Well? I do think that given the way the world

0:21:19.880 --> 0:21:23.919
<v Speaker 4>is evolving in our interests, we probably do need to

0:21:24.040 --> 0:21:28.000
<v Speaker 4>increase our investment. But just throwing money at the problem

0:21:28.119 --> 0:21:31.760
<v Speaker 4>is not going to be enough. At the same time,

0:21:31.840 --> 0:21:34.200
<v Speaker 4>we really have to take a fresh look at what

0:21:34.240 --> 0:21:37.399
<v Speaker 4>we're spending on and where we're investing because in a

0:21:37.440 --> 0:21:40.879
<v Speaker 4>lot of these situations, you know, buying more of the

0:21:40.920 --> 0:21:43.840
<v Speaker 4>same thing that has served us well, you know, in

0:21:43.920 --> 0:21:46.879
<v Speaker 4>a force that was optimized for the Middle East and

0:21:46.960 --> 0:21:50.480
<v Speaker 4>counter terrorism is not necessarily what we need to deal

0:21:50.600 --> 0:21:54.920
<v Speaker 4>in a maritime and air theater predominantly in the Asia

0:21:54.960 --> 0:21:57.960
<v Speaker 4>Pacific and elsewhere. Plus you have this profound period of

0:21:58.000 --> 0:22:02.000
<v Speaker 4>technological disruption, and so so you really have to look at,

0:22:02.240 --> 0:22:06.040
<v Speaker 4>you know, how do we adopt innovation, integrate it into

0:22:06.119 --> 0:22:10.000
<v Speaker 4>the force to enable the legacy forces, we have to

0:22:10.640 --> 0:22:15.120
<v Speaker 4>be able to operate differently and get different outcomes. So

0:22:15.200 --> 0:22:19.119
<v Speaker 4>it's innovation adoption and it's new operational concepts. We have

0:22:19.160 --> 0:22:22.600
<v Speaker 4>to think much more asymmetrically than we have in the past.

0:22:22.640 --> 0:22:24.120
<v Speaker 4>If we're going to keep our edge in the.

0:22:24.080 --> 0:22:26.760
<v Speaker 1>Future, how should we think about the role of technological

0:22:26.800 --> 0:22:30.199
<v Speaker 1>innovation because some of themselves a lot less expensive than some

0:22:30.280 --> 0:22:31.640
<v Speaker 1>of the big weapons systems.

0:22:31.800 --> 0:22:34.399
<v Speaker 4>Right. I think the US is hands down the leader

0:22:34.520 --> 0:22:38.439
<v Speaker 4>globally in technical innovation, and that includes in the defense domain.

0:22:38.800 --> 0:22:41.640
<v Speaker 4>But we are not all that good at innovation adoption

0:22:41.880 --> 0:22:45.720
<v Speaker 4>actually taking particularly if something's coming out of the commercial sector,

0:22:45.840 --> 0:22:51.080
<v Speaker 4>like take for example, small cheap attritable drones. We are

0:22:51.160 --> 0:22:54.719
<v Speaker 4>seeing how that is impacting the war between Russia and Ukraine.

0:22:54.720 --> 0:22:58.880
<v Speaker 4>We are starting to see Iran use them against Israel,

0:22:59.119 --> 0:23:02.040
<v Speaker 4>you know, in an Asia of Asian theater where China

0:23:02.080 --> 0:23:05.040
<v Speaker 4>will always have a quantitative advantage because they have their

0:23:05.080 --> 0:23:08.040
<v Speaker 4>whole force right there. It's their backyard where we have

0:23:08.080 --> 0:23:11.000
<v Speaker 4>to project power from the United States and other regions.

0:23:11.840 --> 0:23:14.920
<v Speaker 4>How do we buy back mass? How do we sort

0:23:14.960 --> 0:23:19.040
<v Speaker 4>of leverage things like drones under sea, on the sea,

0:23:19.240 --> 0:23:24.119
<v Speaker 4>in the air controlled by human operators. How do we

0:23:24.240 --> 0:23:29.720
<v Speaker 4>leverage that to really create new problems for an adversary,

0:23:30.160 --> 0:23:32.639
<v Speaker 4>and how do we use them to contribute to deterrence.

0:23:32.960 --> 0:23:37.080
<v Speaker 4>So the technological piece is absolutely key to keeping our

0:23:37.200 --> 0:23:38.000
<v Speaker 4>edge in the future.

0:23:38.400 --> 0:23:42.439
<v Speaker 1>Financial markets right now are really almost obsessed with artificial intelligence.

0:23:43.000 --> 0:23:44.480
<v Speaker 1>How does that apply a defense area?

0:23:44.840 --> 0:23:48.240
<v Speaker 4>It is being adopted already. I think the Department of

0:23:48.280 --> 0:23:51.760
<v Speaker 4>Defense gets credit and this administration gets credit for setting

0:23:51.760 --> 0:23:54.760
<v Speaker 4>out a framework for responsible AI. How do we keep

0:23:54.840 --> 0:23:57.720
<v Speaker 4>it safe? How do we make sure it behaves appropriately?

0:23:57.760 --> 0:24:00.480
<v Speaker 4>How do we make sure, you know, it's trans parent,

0:24:00.600 --> 0:24:03.159
<v Speaker 4>that we're following data rules and so forth. We're not

0:24:03.200 --> 0:24:05.960
<v Speaker 4>so sure as whether our adversaries will be so responsible

0:24:06.000 --> 0:24:08.159
<v Speaker 4>in how they develop it. But we see it coming

0:24:08.200 --> 0:24:13.760
<v Speaker 4>into in the intelligence field, helping analysts sort through the

0:24:13.800 --> 0:24:18.880
<v Speaker 4>massive amounts of information to focus on what's important for insight.

0:24:20.440 --> 0:24:24.600
<v Speaker 4>We see it in the area of maintenance, preventative maintenance,

0:24:24.640 --> 0:24:27.879
<v Speaker 4>so getting data that suggests you need to repair something

0:24:27.920 --> 0:24:31.280
<v Speaker 4>before it breaks, which takes less time and is cheaper.

0:24:31.760 --> 0:24:35.080
<v Speaker 4>And then we'll eventually seeing applying it to this human

0:24:35.200 --> 0:24:37.399
<v Speaker 4>machine teaming. I talked about where you have a single

0:24:37.680 --> 0:24:42.560
<v Speaker 4>human being operating very large, large numbers of unmanned systems,

0:24:42.920 --> 0:24:44.800
<v Speaker 4>so you still have the human in the loop, but

0:24:44.880 --> 0:24:49.840
<v Speaker 4>you've bought back a lot of mass for your forces. Ultimately,

0:24:49.880 --> 0:24:52.400
<v Speaker 4>I also think it's going to be important to give

0:24:52.480 --> 0:24:54.840
<v Speaker 4>us an edge and decision making. If we can process

0:24:55.440 --> 0:25:00.240
<v Speaker 4>information faster, get insight faster, tee up options fast, master

0:25:00.400 --> 0:25:03.960
<v Speaker 4>for the human decision maker, we will have an edge

0:25:04.000 --> 0:25:06.040
<v Speaker 4>in any future crisis.

0:25:06.680 --> 0:25:10.639
<v Speaker 1>That was former Deputy Secretary Defense Michelle Flornoy, managing partner

0:25:10.680 --> 0:25:15.800
<v Speaker 1>and co founder of West Exec Advisors, coming up to

0:25:15.800 --> 0:25:19.119
<v Speaker 1>the rush. Degenerative AI has shifted enormous amounts of capital

0:25:19.160 --> 0:25:21.800
<v Speaker 1>and driven tech shares higher. We talked about whether it's

0:25:21.840 --> 0:25:25.240
<v Speaker 1>all gone too far too fast with AI pioneer Jack

0:25:25.320 --> 0:25:27.000
<v Speaker 1>Heitory of Sandbox AQ.

0:25:27.560 --> 0:25:30.960
<v Speaker 5>The bigger part of the economy really needs a different

0:25:31.080 --> 0:25:35.280
<v Speaker 5>kind of AI, and that AI is large quantitative bondus.

0:25:36.680 --> 0:25:39.040
<v Speaker 1>That's next on Wall Street Week on Bloomberg.

0:25:40.400 --> 0:25:44.600
<v Speaker 2>This is Bloomberg Wall Street Week with David Weston from

0:25:44.720 --> 0:25:45.679
<v Speaker 2>Bloomberg Radio.

0:25:52.400 --> 0:25:55.040
<v Speaker 1>This is Wall Street Week. I'm David Weston. Invidios stock

0:25:55.040 --> 0:25:58.000
<v Speaker 1>has gone through the roof the so called Hyperscalers are

0:25:58.040 --> 0:26:00.760
<v Speaker 1>investing tens of billions of dollars as the dream of

0:26:00.840 --> 0:26:04.480
<v Speaker 1>generave AI has seized the imagination of investors. But now

0:26:04.600 --> 0:26:07.120
<v Speaker 1>some people are second guessing the land rush to take

0:26:07.200 --> 0:26:09.720
<v Speaker 1>us through what's real and what's overdone. Welcome now a

0:26:09.800 --> 0:26:13.440
<v Speaker 1>pioneer in the field. He's Jack Hitory, CEO of Sandbox AQ.

0:26:13.640 --> 0:26:15.320
<v Speaker 1>So Jack, so good to have you with us. Thank

0:26:15.320 --> 0:26:17.080
<v Speaker 1>you for being here. So for those of us who

0:26:17.119 --> 0:26:19.199
<v Speaker 1>really are not that well versus this, give us your

0:26:19.280 --> 0:26:22.320
<v Speaker 1>overall take. We have seen some backing off, some suggestions,

0:26:22.359 --> 0:26:24.639
<v Speaker 1>for example in Vidio may have some delays in some

0:26:24.680 --> 0:26:27.360
<v Speaker 1>of their chips. Maybe some questions about it. How much

0:26:27.400 --> 0:26:29.000
<v Speaker 1>is real and how much of it is hype?

0:26:30.359 --> 0:26:32.760
<v Speaker 5>David Firstell, great to see you this is these are

0:26:32.920 --> 0:26:36.879
<v Speaker 5>very exciting times right now for AI. Not only the

0:26:36.960 --> 0:26:39.400
<v Speaker 5>kind of AI that people have seen before, like chat,

0:26:39.440 --> 0:26:42.960
<v Speaker 5>GPT and AI focused on words, but also AI now

0:26:43.000 --> 0:26:46.240
<v Speaker 5>applied to the biggest industries in the world to make

0:26:46.320 --> 0:26:51.679
<v Speaker 5>new drugs, to make new alloys, to lightweight vehicles, to.

0:26:50.920 --> 0:26:53.720
<v Speaker 8>Create new energy opportunities for the world.

0:26:53.960 --> 0:26:56.160
<v Speaker 5>This is a great moment for AI that takes us

0:26:56.160 --> 0:26:59.800
<v Speaker 5>beyond the chat GPT. When we look at Nvidia to

0:26:59.840 --> 0:27:02.840
<v Speaker 5>your question about Nvidia, we see a company with a

0:27:02.880 --> 0:27:06.320
<v Speaker 5>great set of high performance chips, initially the g and

0:27:06.359 --> 0:27:08.840
<v Speaker 5>GPU of course for graphics, and then of course to

0:27:08.960 --> 0:27:13.000
<v Speaker 5>large language models. But now there's new demand curves coming

0:27:13.000 --> 0:27:15.719
<v Speaker 5>to Invidia, and so I think, well, there may be

0:27:15.760 --> 0:27:17.560
<v Speaker 5>a couple of initial bumps in the road here in

0:27:17.600 --> 0:27:20.280
<v Speaker 5>the near term. What I recommend people do is look

0:27:20.320 --> 0:27:24.280
<v Speaker 5>at the mid and long term nature of opportunity, which

0:27:24.359 --> 0:27:27.840
<v Speaker 5>now has a big demand curve for quantitative AI, which

0:27:27.880 --> 0:27:29.760
<v Speaker 5>is the next wave AI that's now hitting.

0:27:30.760 --> 0:27:33.200
<v Speaker 1>So Jack, from your experience, you guys are really heavy

0:27:33.280 --> 0:27:36.159
<v Speaker 1>hitter investors. Is it patient capital? I mean when they

0:27:36.200 --> 0:27:37.639
<v Speaker 1>see some of these bumps along the road, do they

0:27:37.640 --> 0:27:39.480
<v Speaker 1>get nervous? Did they call you up? Or are they

0:27:39.520 --> 0:27:40.440
<v Speaker 1>in it for the long haul.

0:27:42.040 --> 0:27:44.840
<v Speaker 5>Most investors that call me up, and many do, are

0:27:44.880 --> 0:27:46.880
<v Speaker 5>in it for the long haul. They see the value

0:27:46.960 --> 0:27:49.480
<v Speaker 5>of these kind of platforms. They see the demand from

0:27:49.520 --> 0:27:53.000
<v Speaker 5>the large data centers, from many companies buying these kinds

0:27:53.000 --> 0:27:55.800
<v Speaker 5>of chips. But what's most important now is the next

0:27:56.400 --> 0:27:59.800
<v Speaker 5>wave of AI that's coming. The initial wave, of course,

0:27:59.880 --> 0:28:03.840
<v Speaker 5>was focus on downloading the Internet training language models like chat,

0:28:03.880 --> 0:28:07.280
<v Speaker 5>GPT and other kinds of large language models known as llms.

0:28:07.760 --> 0:28:10.359
<v Speaker 5>That's certainly a good first wave, and there are certain

0:28:10.440 --> 0:28:15.520
<v Speaker 5>key applications of llms. David, for example, customer service. Right

0:28:15.560 --> 0:28:17.680
<v Speaker 5>now we all agree, I think we can have better

0:28:17.720 --> 0:28:21.560
<v Speaker 5>customer service from telcos and cable operators and airlines and

0:28:21.600 --> 0:28:24.399
<v Speaker 5>folks like that, and I think the chat GPTs of

0:28:24.400 --> 0:28:26.920
<v Speaker 5>the world will help with that. But the bigger part

0:28:27.040 --> 0:28:30.200
<v Speaker 5>of the economy really needs a different kind of AI,

0:28:30.520 --> 0:28:35.119
<v Speaker 5>and that AI is large quantitative models l qms instead

0:28:35.160 --> 0:28:39.520
<v Speaker 5>of just l lms. And that's because we really want

0:28:39.520 --> 0:28:42.920
<v Speaker 5>to see new drug drugs in the marketplace, new treatments

0:28:42.960 --> 0:28:47.080
<v Speaker 5>for brain cancer, pancreatic cancer, for Alzheimer's, for dementia. I

0:28:47.120 --> 0:28:50.720
<v Speaker 5>think everyone watching this show today David knows a loved one,

0:28:50.880 --> 0:28:54.800
<v Speaker 5>a family friend who is impacted by these diseases. Forty

0:28:54.880 --> 0:28:58.160
<v Speaker 5>years of research has not yielded much for the patients

0:28:58.400 --> 0:29:01.520
<v Speaker 5>that are afflicted by these conditions. What we're seeing now

0:29:01.600 --> 0:29:04.560
<v Speaker 5>is the advent of a new, bigger AI, an AI

0:29:04.640 --> 0:29:10.080
<v Speaker 5>that handles quantitative relationships. It understands chemistry, it understands physics,

0:29:10.080 --> 0:29:14.840
<v Speaker 5>It understands financial relationships for asset management and portfolio construction

0:29:15.120 --> 0:29:16.280
<v Speaker 5>for financial services.

0:29:16.600 --> 0:29:17.960
<v Speaker 8>These are the big verticals.

0:29:18.000 --> 0:29:22.320
<v Speaker 5>Biopharma is eight trillion in size, financial services ten trillion,

0:29:22.520 --> 0:29:27.360
<v Speaker 5>Automotive and aerospace fifteen trillion, and finally chemicals energy materials

0:29:27.720 --> 0:29:31.720
<v Speaker 5>another fifteen trillion, part of the one hundred trillion dollar

0:29:31.840 --> 0:29:36.160
<v Speaker 5>GDP economy worldwide. These are the bigger applications that are

0:29:36.200 --> 0:29:38.120
<v Speaker 5>now upon us in the world of AI.

0:29:38.360 --> 0:29:41.680
<v Speaker 1>So Jack, that's very helpful. The distinction between large language

0:29:41.720 --> 0:29:45.320
<v Speaker 1>model and large quantitative model big difference. That's one queue.

0:29:45.320 --> 0:29:48.600
<v Speaker 1>Another queue is quantum. You're involved in quantum. What does

0:29:48.680 --> 0:29:50.840
<v Speaker 1>quantum add to the mix when it comes to AI.

0:29:52.120 --> 0:29:55.520
<v Speaker 5>What's fascinating is that let's look at AI and quantum, David,

0:29:55.560 --> 0:29:58.680
<v Speaker 5>as part of a bigger hole of advanced compute and

0:29:58.760 --> 0:30:01.120
<v Speaker 5>so when we look at AI, I think now people

0:30:01.200 --> 0:30:03.920
<v Speaker 5>get a feel of how powerful that is already, and

0:30:04.080 --> 0:30:06.440
<v Speaker 5>it's going to even get more powerful over the next

0:30:06.480 --> 0:30:09.880
<v Speaker 5>two three four years. And now into the world of quantum.

0:30:10.320 --> 0:30:12.400
<v Speaker 5>Most people when they think about quantum, they think about

0:30:12.480 --> 0:30:15.880
<v Speaker 5>quantum computers, and certainly quantum computers are going to have

0:30:15.960 --> 0:30:19.400
<v Speaker 5>a wonderful impact on our society. Give us even more

0:30:19.600 --> 0:30:23.200
<v Speaker 5>computer on top of and with the AI that we

0:30:23.400 --> 0:30:27.320
<v Speaker 5>just discussed. But what's not often discussed is the other

0:30:27.400 --> 0:30:31.760
<v Speaker 5>applications of quantum. For example, quantum sensors. These are senses

0:30:31.800 --> 0:30:34.920
<v Speaker 5>that are here today, their room temperature, they're very compact

0:30:35.000 --> 0:30:38.120
<v Speaker 5>their solid state, and for example, we can use them

0:30:38.200 --> 0:30:40.520
<v Speaker 5>to improve medical diagnostics.

0:30:40.800 --> 0:30:42.760
<v Speaker 1>Bring us to the here and now, right now in

0:30:42.800 --> 0:30:45.040
<v Speaker 1>concrete terms. I was with somebody recently from one of

0:30:45.040 --> 0:30:47.360
<v Speaker 1>the hyperscalers saying, though you know, a little bit like

0:30:47.480 --> 0:30:50.280
<v Speaker 1>electricity and the latter part last century, you have the

0:30:50.320 --> 0:30:52.600
<v Speaker 1>power planning of the grid, and then you have the appliances,

0:30:53.080 --> 0:30:54.960
<v Speaker 1>and what we need in part with AI are the

0:30:55.000 --> 0:30:57.520
<v Speaker 1>appliances as it were. You had an announcement just this

0:30:57.600 --> 0:31:02.160
<v Speaker 1>week with the Mayo Clinic about some cardia analysis, and wow,

0:31:02.200 --> 0:31:04.000
<v Speaker 1>you can help with that. What is that and how

0:31:04.040 --> 0:31:05.520
<v Speaker 1>close is it to being real?

0:31:06.120 --> 0:31:07.200
<v Speaker 8>That's a great point, David.

0:31:07.320 --> 0:31:10.479
<v Speaker 5>It's the applications of AI and quantum sensing that are

0:31:10.520 --> 0:31:13.120
<v Speaker 5>the most exciting things, not just the theory. And so

0:31:13.240 --> 0:31:16.240
<v Speaker 5>this week, as you pointed out, we in the Mao

0:31:16.320 --> 0:31:20.520
<v Speaker 5>Clinic announced that our AI and device are inside the

0:31:20.520 --> 0:31:23.880
<v Speaker 5>Mayo Clinic right now in yet another clinical trial. We

0:31:23.960 --> 0:31:26.960
<v Speaker 5>already completed trials now at UCSF Hospital and the Mount

0:31:27.000 --> 0:31:29.960
<v Speaker 5>Signi Hospital, New York, and now this new trial is

0:31:30.000 --> 0:31:33.040
<v Speaker 5>starting at the Mayo Clinic, one of the premier hospitals

0:31:33.080 --> 0:31:35.600
<v Speaker 5>of the entire world. Very very proud to be working

0:31:35.600 --> 0:31:38.080
<v Speaker 5>with the Mayo Clinic on this and very excited to

0:31:38.080 --> 0:31:41.440
<v Speaker 5>see some of the outcomes. What's important about that is

0:31:41.440 --> 0:31:46.320
<v Speaker 5>that the ability to bring quantitative AI LQMS combined with

0:31:46.480 --> 0:31:50.880
<v Speaker 5>advanced sensors in a single format of this box allow

0:31:51.600 --> 0:31:54.480
<v Speaker 5>us to put that in the cardiac hospital and look

0:31:54.520 --> 0:31:57.560
<v Speaker 5>at real patients in real time and how their heart

0:31:57.600 --> 0:32:00.520
<v Speaker 5>is doing in a way that no other modality can do.

0:32:01.000 --> 0:32:04.400
<v Speaker 5>What's happened is that quantum sensors have become room temperature,

0:32:04.520 --> 0:32:07.680
<v Speaker 5>they become very portable and small format, low power draw

0:32:08.080 --> 0:32:11.920
<v Speaker 5>but the challenge was how to read this huge plethora,

0:32:12.280 --> 0:32:15.640
<v Speaker 5>this fountain of information coming out of these sensors. That's

0:32:15.680 --> 0:32:19.440
<v Speaker 5>where AI comes in. Specifically, that's where lqms come in.

0:32:19.760 --> 0:32:22.560
<v Speaker 5>You cannot add a chat GPT to this box and

0:32:22.640 --> 0:32:24.080
<v Speaker 5>have it interpret those signals.

0:32:24.400 --> 0:32:26.640
<v Speaker 8>Being trained on Wikipedia.

0:32:25.960 --> 0:32:28.360
<v Speaker 5>And Reddit and Twitter is not going to help you

0:32:28.560 --> 0:32:31.200
<v Speaker 5>with this kind of signal. Rather, this kind of training

0:32:31.240 --> 0:32:35.080
<v Speaker 5>requires quantitative data. So this is a major step forward

0:32:35.360 --> 0:32:39.600
<v Speaker 5>for cardiovasculine disease. Doctor Toby Cosgrove, who used to head

0:32:39.680 --> 0:32:42.960
<v Speaker 5>up the Cleveland Clinic for the past thirteen years, called

0:32:43.040 --> 0:32:47.720
<v Speaker 5>it the key to transforming cardiovascular medicine. So it's great

0:32:47.720 --> 0:32:52.280
<v Speaker 5>to see this kind of advancement combining AI and quantum jack.

0:32:52.360 --> 0:32:55.120
<v Speaker 1>That was very helpful and very informative. One last question

0:32:55.160 --> 0:32:57.280
<v Speaker 1>in a very different area, and that's the area of defense.

0:32:57.680 --> 0:33:00.160
<v Speaker 1>We've talked to some people in the defense establishment. What's

0:33:00.200 --> 0:33:02.760
<v Speaker 1>going on, but even maybe an arms race when it

0:33:02.800 --> 0:33:06.880
<v Speaker 1>comes to AI and use of AI in defense contracting.

0:33:07.000 --> 0:33:09.040
<v Speaker 1>Where are we that in so far as you can

0:33:09.040 --> 0:33:09.760
<v Speaker 1>tell us about it.

0:33:10.360 --> 0:33:12.760
<v Speaker 8>Sure, defense is a very very critical application.

0:33:12.920 --> 0:33:16.560
<v Speaker 5>National security is of paramount importance for both United States

0:33:16.600 --> 0:33:19.240
<v Speaker 5>and its allies. I think we all agree with the

0:33:19.280 --> 0:33:22.960
<v Speaker 5>confabgrations going on around the world. It's even more important

0:33:23.000 --> 0:33:25.480
<v Speaker 5>today than it was just a few years ago. This

0:33:25.560 --> 0:33:28.320
<v Speaker 5>is both on the cyber aspect as well as the

0:33:28.400 --> 0:33:32.000
<v Speaker 5>kinetic aspect of war and of conflict. And so when

0:33:32.040 --> 0:33:34.440
<v Speaker 5>we look at the applications, let me give some examples.

0:33:35.440 --> 0:33:39.400
<v Speaker 5>If we take navigation, when you're in a wartime scenario,

0:33:39.440 --> 0:33:42.520
<v Speaker 5>even a pre wartime scenario, the first thing your adversary

0:33:42.560 --> 0:33:46.719
<v Speaker 5>will do, David, is they will block and jam GPS.

0:33:47.400 --> 0:33:49.280
<v Speaker 5>You want to do that as an adversary because you

0:33:49.320 --> 0:33:52.280
<v Speaker 5>want to stop planes from coming at you and dropping bombs.

0:33:52.520 --> 0:33:54.680
<v Speaker 5>You want to stop missiles from coming at you, you

0:33:54.720 --> 0:33:56.280
<v Speaker 5>want to stop drones from coming at you.

0:33:56.320 --> 0:33:57.240
<v Speaker 8>And you see it today.

0:33:57.800 --> 0:34:01.800
<v Speaker 5>Russia right now is jamming not only would be Ukraine,

0:34:01.840 --> 0:34:03.880
<v Speaker 5>but over enough of area of Europe that it has

0:34:03.960 --> 0:34:08.800
<v Speaker 5>disrupted thousands of commercial flights. Thousands of commercial flights have

0:34:08.880 --> 0:34:12.279
<v Speaker 5>been disrupted by Russ's jamming of GPS. And this is

0:34:12.320 --> 0:34:15.760
<v Speaker 5>another application of both AI and advancedensing.

0:34:16.080 --> 0:34:18.960
<v Speaker 1>How is that the case, Jack, thank you so much

0:34:19.000 --> 0:34:21.920
<v Speaker 1>as has been really terribly helpful. That is Jack Heitory

0:34:22.040 --> 0:34:25.920
<v Speaker 1>of Sandbox AQ. If you want a friend in Washington,

0:34:26.080 --> 0:34:29.200
<v Speaker 1>get a dog. President Truman is thought to have said

0:34:29.200 --> 0:34:31.920
<v Speaker 1>this when he was running for reelection back in nineteen

0:34:31.960 --> 0:34:34.960
<v Speaker 1>forty eight. There is little doubt that the companionship of

0:34:35.000 --> 0:34:37.600
<v Speaker 1>an animal can be a consolation when it feels like

0:34:37.640 --> 0:34:40.080
<v Speaker 1>no one else is on our side. Maybe that's why

0:34:40.120 --> 0:34:43.360
<v Speaker 1>nearly every one of our presidents has had a cherished pet,

0:34:43.840 --> 0:34:47.000
<v Speaker 1>going all the way back to George Washington's foxhounds, and

0:34:47.080 --> 0:34:50.680
<v Speaker 1>those presidential pets haven't all been dogs. Thomas Jefferson broke

0:34:50.719 --> 0:34:55.160
<v Speaker 1>from mister Washington by keeping mockingbirds. Andrew Jackson had a

0:34:55.200 --> 0:34:58.240
<v Speaker 1>parent named Paul, who had to be removed from Jackson's

0:34:58.280 --> 0:35:01.680
<v Speaker 1>funeral because of the parrot's foul language. You can decide

0:35:01.719 --> 0:35:04.080
<v Speaker 1>where the bird may have picked that up. But despite

0:35:04.120 --> 0:35:07.560
<v Speaker 1>the assorted goats, sheep, and pigs kept by presidents down

0:35:07.640 --> 0:35:10.800
<v Speaker 1>through the ages, by far the most popular presidential pets

0:35:10.840 --> 0:35:14.720
<v Speaker 1>have been dogs. The most famous was FDR's beloved Falla,

0:35:15.160 --> 0:35:19.240
<v Speaker 1>a Scottish terrier who was President Roosevelt's constant companion. Fala

0:35:19.400 --> 0:35:22.360
<v Speaker 1>even became an issue in mister Roosevelt's campaign for reelection

0:35:22.400 --> 0:35:25.880
<v Speaker 1>in nineteen forty four, when Republicans claimed that millions of

0:35:25.920 --> 0:35:29.320
<v Speaker 1>taxpayer dollars had been spent sending a destroyer to retrieve

0:35:29.360 --> 0:35:32.600
<v Speaker 1>the dog from the Aleutian Islands after he'd been left behind.

0:35:33.040 --> 0:35:35.160
<v Speaker 1>That turned out to be an urban myth, but President

0:35:35.239 --> 0:35:39.160
<v Speaker 1>Roosevelt took it on directly and humorously in a national

0:35:39.239 --> 0:35:41.400
<v Speaker 1>radio dress in the middle of the campaign.

0:35:42.000 --> 0:35:45.680
<v Speaker 10>The Republican leaders are not in contempt with a pack

0:35:46.120 --> 0:35:49.600
<v Speaker 10>on me, are on my wife, are on my son?

0:35:51.520 --> 0:35:54.440
<v Speaker 10>They now include my little dog foul.

0:35:55.880 --> 0:35:58.480
<v Speaker 1>By the way, Fala is the only presidential pet to

0:35:58.480 --> 0:36:01.279
<v Speaker 1>be immortalized as a bronze statue as part of the

0:36:01.360 --> 0:36:04.640
<v Speaker 1>Roosevelt Memorial on the National Mall in Washington. Since then,

0:36:04.680 --> 0:36:07.759
<v Speaker 1>there's been a steady succession of dogs in the White House,

0:36:07.800 --> 0:36:11.360
<v Speaker 1>from Ronald Reagan's Rex and Lucky to George Herbert Walker

0:36:11.400 --> 0:36:12.480
<v Speaker 1>Bush's Millie.

0:36:12.719 --> 0:36:13.440
<v Speaker 7>To George W.

0:36:13.520 --> 0:36:16.680
<v Speaker 1>Bush's Barney, made famous by the Barney Cam showing up

0:36:16.719 --> 0:36:24.279
<v Speaker 1>every Christmas from the White House. Indeed, it was only

0:36:24.280 --> 0:36:27.200
<v Speaker 1>President Trump who went without a pet in recent years,

0:36:27.400 --> 0:36:30.280
<v Speaker 1>but not all of the stories about presidents or presidential

0:36:30.320 --> 0:36:33.400
<v Speaker 1>wannabes have been happy ones when it comes to the animals.

0:36:33.680 --> 0:36:35.960
<v Speaker 1>Those of us of a certain age remember the controversy

0:36:35.960 --> 0:36:38.400
<v Speaker 1>when President Johnson decided to show off his hounds they

0:36:38.400 --> 0:36:41.239
<v Speaker 1>were called Him and Her, by picking them up by

0:36:41.280 --> 0:36:44.520
<v Speaker 1>the ears and hearing them yelp, something the President insisted

0:36:44.719 --> 0:36:48.080
<v Speaker 1>was good for them. President Biden's German shepherd commander was

0:36:48.160 --> 0:36:51.000
<v Speaker 1>banished to a farm after repeatedly biting members of the

0:36:51.000 --> 0:36:51.800
<v Speaker 1>Secret Service.

0:36:52.239 --> 0:36:55.640
<v Speaker 8>He put hey doing lord.

0:36:56.239 --> 0:36:59.240
<v Speaker 1>But some in national politics have gone well past making

0:36:59.239 --> 0:37:02.319
<v Speaker 1>their dogs yell or sending him to a farm. South

0:37:02.360 --> 0:37:05.720
<v Speaker 1>Dakota Governor Christy Noam, in the running to become Donald

0:37:05.760 --> 0:37:08.360
<v Speaker 1>Trump's running mate, at one point this year, did herself

0:37:08.400 --> 0:37:11.680
<v Speaker 1>no favors when she admitted in her autobiogree that she'd

0:37:11.760 --> 0:37:14.919
<v Speaker 1>shot her dog when he misbehaved. And then this week,

0:37:15.040 --> 0:37:19.000
<v Speaker 1>presidential candidate RFK Junior, in an interview with Roseanne Barr,

0:37:19.360 --> 0:37:22.160
<v Speaker 1>admitted that he'd come across a dead bear cub in

0:37:22.239 --> 0:37:24.920
<v Speaker 1>upstate New York, put it in his car, drove it

0:37:24.960 --> 0:37:28.360
<v Speaker 1>to Manhattan, and then staged its death by bicycle in

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<v Speaker 1>Central Park because, according to mister Kennedy, he didn't want

0:37:31.640 --> 0:37:32.600
<v Speaker 1>the meat to go.

0:37:32.560 --> 0:37:35.320
<v Speaker 8>To waste in Central Park.

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<v Speaker 1>And we'll make it look like however it all really happened.

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<v Speaker 1>It was a long way from FDR's beloved Falla. But

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<v Speaker 1>then again, let's go back to the source of that

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<v Speaker 1>supposed Truman quote about getting a dog if you want

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<v Speaker 1>a friend in Washington. It turns out that there is

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<v Speaker 1>no evidence President Truman ever said anything about making a

0:37:54.840 --> 0:37:57.520
<v Speaker 1>friend of a dog. Indeed, when he was asked about

0:37:57.560 --> 0:38:00.239
<v Speaker 1>a Cocker Spaniel he'd been given by a supporter, said

0:38:00.239 --> 0:38:04.319
<v Speaker 1>simply that it was around someplace. The someplace turned out

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<v Speaker 1>to be Ohio, where Feller had been sent, because, as

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<v Speaker 1>the President put it, I didn't ask for him and

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<v Speaker 1>I don't need him. But if my own dogs, Whiskey

0:38:12.680 --> 0:38:16.040
<v Speaker 1>and Walker, are watching, don't worry. We have no plans

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<v Speaker 1>of shipping you to Ohio. That does it for this

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<v Speaker 1>episode of Wall Street Week. I'm David Weston. This is Bloomberg.

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<v Speaker 1>See you next week.