WEBVTT - Bloomberg Wall Street Week - January 5th, 2024

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<v Speaker 1>This is Bloomberg Wall Street Week.

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<v Speaker 2>I mean may not have an overall recession, We're having

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<v Speaker 2>a rolling recession to kind of roll looks pretty strongly

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<v Speaker 2>it is when it comes.

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<v Speaker 1>To jobs, the financial stories that shape our world.

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<v Speaker 2>Three major regional bank failures send shockwaves through the banking system.

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<v Speaker 2>We're all trying to figure out what to make of

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<v Speaker 2>generative AI.

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<v Speaker 1>Through the eyes of the most influential voices.

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<v Speaker 2>Welcome down, Doctor Paul Krugman, Ryan moynihan, Bank of America,

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<v Speaker 2>deebro Lair of the Paulson Institute, well then Hubbard of

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<v Speaker 2>the Columbia Business School.

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<v Speaker 1>Bloomberg Wall Street Week with David Weston from Bloomberg Radio.

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<v Speaker 2>Harvard President leaves a war in the Middle East, stays

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<v Speaker 2>and Santa takes his rally with him on his sleigh.

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<v Speaker 2>This is Bloomberg Wall Street Week. I'm David Weston, this

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<v Speaker 2>week's secial contributor to Larry Summers and the US jobs numbers.

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<v Speaker 3>It's certainly increasingly possible that we'll have that much valleyhed

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<v Speaker 3>soft landing as rare as those who have been historically.

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<v Speaker 2>And David Otter of MIT on what to expect from

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<v Speaker 2>Generative AI.

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<v Speaker 4>Part of that on a game that's so called you

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<v Speaker 4>know AI, give it in will actually be squandered on

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<v Speaker 4>AI defense.

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<v Speaker 2>Global Wall Street got the new year underway this week

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<v Speaker 2>with big changes at the top of Harvard.

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<v Speaker 5>The Harvard Crimson reporting that Claudine Gay will resign today.

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<v Speaker 5>And keep in mind she was Harvard's first black president.

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<v Speaker 5>She just took the post up in July, so this

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<v Speaker 5>is the shortest tenure in Harvard's history, just six months

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<v Speaker 5>and two days.

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<v Speaker 2>While things in the Middle East showed little signs of changing,

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<v Speaker 2>at least for the better.

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<v Speaker 6>I think as events unfold, we're likely to see more escalation,

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<v Speaker 6>stepped up attacks, and as a result, the market's going

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<v Speaker 6>to sort of be dragged back to this Polish Middle

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<v Speaker 6>East risk.

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<v Speaker 2>And Bob Ayer's challenges A Disney stretched into the new

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<v Speaker 2>year as Nelson Pelts continued to challenge his leadership, even

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<v Speaker 2>as another active Blackwells came to his defense.

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<v Speaker 5>This is going to be a really contentious fight I

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<v Speaker 5>think between False and Disney.

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<v Speaker 1>He obviously does definitely want to put himself on the board.

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<v Speaker 5>He definitely wants to see Jay Rizzulu on the board.

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<v Speaker 2>The Federal Reserve released its minutes from the December meeting

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<v Speaker 2>showing a cautious approach, with members talking about the possibility

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<v Speaker 2>of holding for longer than expected, cutting or even raising rates.

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<v Speaker 7>I think we do have to pay a very careful

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<v Speaker 7>attention to that tug of war between what markets are

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<v Speaker 7>seeing in terms of FED easing and whatnot in what

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<v Speaker 7>the macro data are suggesting.

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<v Speaker 2>And then on Friday, US jobs numbers came out stronger

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<v Speaker 2>than expected, pointing to a surprising strength in the economy,

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<v Speaker 2>only to be countered by ISM numbers ninety minutes later

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<v Speaker 2>suggesting some slowing. The markets took all this into account

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<v Speaker 2>and decided that Santa had after all gone back to

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<v Speaker 2>the North Pole and taken his rally with him, with

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<v Speaker 2>the S and P five hundred down one and a

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<v Speaker 2>half percent for the first week of the new year,

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<v Speaker 2>ending at forty six to ninety seven, which is still

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<v Speaker 2>nicely above the forty five hundred number of the bloomer

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<v Speaker 2>El's are predicting for the median. At the year end,

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<v Speaker 2>the NASDAG gave up three and a quarter percent, while

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<v Speaker 2>the yield on the tenure decided to peek its head

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<v Speaker 2>back above four percent, ending the week up over eleven

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<v Speaker 2>basing spoints at four point five to take us through

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<v Speaker 2>the start of the year. Welcome back now, David Bianco,

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<v Speaker 2>he's DWS Chief Investment Officer for the Americas. Welcome back,

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<v Speaker 2>great to have you, happy news.

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<v Speaker 8>Happy new year. That's great to be here for the

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<v Speaker 8>first Friday.

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<v Speaker 2>So Friday was a bit of a whiplash, at least

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<v Speaker 2>for me, because we had those jobs numbers come out.

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<v Speaker 2>The markets seemed to know what to do about that.

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<v Speaker 2>They didn't like it very much, and then the sm

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<v Speaker 2>numbers came out, turn right around. What did we take

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<v Speaker 2>out of this?

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<v Speaker 9>Well, the week, first week of the year, and not

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<v Speaker 9>a great start. Many investors are calling for us to

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<v Speaker 9>pay attention to the January indicator the first several days,

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<v Speaker 9>first five days of the year. Often investors say that's

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<v Speaker 9>the way the rest of the year will go. Not

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<v Speaker 9>a great start, but it's just a start to the year.

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<v Speaker 9>We'll see how things play out.

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<v Speaker 8>The first data, as.

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<v Speaker 9>You said, key data, job market data for SUMBER and

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<v Speaker 9>the manufacturing and the service ism. The way I see

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<v Speaker 9>it is that the job market is absolutely solid. Another

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<v Speaker 9>month of more than two hundred, tw hundred and sixteen

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<v Speaker 9>thousand jobs created on the establishment survey, and we still

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<v Speaker 9>see strong wage growth, more than four percent.

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<v Speaker 8>Sequentially and year on year.

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<v Speaker 9>And another interesting thing is that not only did the

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<v Speaker 9>unemployment rate stay at three point seven percent, among the

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<v Speaker 9>lowest in many many decades, we saw something interesting where

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<v Speaker 9>it looks like nearly seven hundred thousand people who recently

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<v Speaker 9>entered the labor market decided for whatever reason, to exit it.

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<v Speaker 9>So the participation rate is sixty two point five percent,

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<v Speaker 9>well above the lows during the pandemic, but still below

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<v Speaker 9>the sixty three percent level before the pandemic. It's a

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<v Speaker 9>full employment economy. We're still creating jobs, mostly on the

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<v Speaker 9>service side of the economy. Manufacturing is still weak, but

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<v Speaker 9>it's definitely a full employment economy with no slack in my.

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<v Speaker 2>View, Does that give the FED permission to cut anytime soon?

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<v Speaker 2>And we came out of last year with a lot

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<v Speaker 2>of momentum, basically with anticipated cuts perhaps even early in

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<v Speaker 2>the new year. Given those jobs numbers and the numbers

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<v Speaker 2>we're getting right now, does it give the permission that

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<v Speaker 2>have FED any permission to cut at this point?

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<v Speaker 9>Not yet. I think the disinflation that we've seen during

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<v Speaker 9>twenty twenty three and it more needs to occur in

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<v Speaker 9>twenty twenty four has opened the door to cuts beginning

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<v Speaker 9>in twenty twenty four. We think the first one will

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<v Speaker 9>be in June, and should be no earlier than June,

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<v Speaker 9>and it would just be so odd. There's no historical

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<v Speaker 9>precedent since nineteen sixty of the FED cutting when unemployments

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<v Speaker 9>below four percent. The stock market is basically at all

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<v Speaker 9>time highs.

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<v Speaker 8>There's no reason for them to rush it.

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<v Speaker 9>And the more the markets try to rush the FED

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<v Speaker 9>to cut, the more I think the FED should make

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<v Speaker 9>markets wait.

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<v Speaker 2>Numbers were getting indicate that the fourth quarter was probably

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<v Speaker 2>stronger in growth than a lot of people were anticipated.

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<v Speaker 2>As a product matter, what is driving this economy at

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<v Speaker 2>this point, because it is stronger than most people anticipated,

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<v Speaker 2>stronger than most of the rest of the world at

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<v Speaker 2>this point.

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<v Speaker 9>Well, the fourth quarter, still yet to fully be reported,

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<v Speaker 9>is slower than the third quarter, and we expect the

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<v Speaker 9>first quarter of this year to be even slower. So

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<v Speaker 9>there is a clear slowdown in the job creation on

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<v Speaker 9>the services side. On the consumption side, there is a slowdown,

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<v Speaker 9>but less slowly than anybody would have thought. Including nos,

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<v Speaker 9>consumption stay strong. Lifestyle is sticky. People have a powerful

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<v Speaker 9>we talk about pent up savings, but the wealth effect

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<v Speaker 9>that has come from the stock market, and maybe a

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<v Speaker 9>little bit of confidence that by the spring the housing

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<v Speaker 9>market starts to recover in terms of activity. People feel

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<v Speaker 9>really good about their balance sheets and they have their jobs.

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<v Speaker 2>Let's talk about the nineties. Are we're embarking on a

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<v Speaker 2>time like the nineties and ninety is pretty interesting?

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<v Speaker 3>Yeah.

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<v Speaker 9>At the start of twenty twenty four, I actually find

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<v Speaker 9>myself thinking about the nineteen nineties quite a bit. Some

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<v Speaker 9>are wondering if it's the end of nineteen nineties as

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<v Speaker 9>it was twenty twenty three like nineteen ninety nine, and

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<v Speaker 9>are we going to have a popping of a tech bubble.

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<v Speaker 9>I don't think so, but there's a rest The equity

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<v Speaker 9>market has some tough years. I had given the gains

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<v Speaker 9>of the past few years, and then if you go

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<v Speaker 9>the way back to the early the start of the

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<v Speaker 9>nineteen nineties, nineteen ninety there are some issues on the

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<v Speaker 9>table where inflation not as bad as we had recently,

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<v Speaker 9>but inflation was a problem Greenspan had to do something

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<v Speaker 9>about it in ninety four. But also the deficit was

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<v Speaker 9>a problem in the early nineties, and we have yet

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<v Speaker 9>to do anything about the deficit. And a lot of

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<v Speaker 9>people talk about nineteen ninety five being a good analogy

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<v Speaker 9>for this year because of the soft landing. That may

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<v Speaker 9>be the case, but we have an election this year,

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<v Speaker 9>we have a deficit to deal with, and we have

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<v Speaker 9>plenty of geopolitical concerns that are much more adverse than

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<v Speaker 9>the case in the nineties.

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<v Speaker 2>Call By in nineteen eighty five, we did have the

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<v Speaker 2>Carter tax plan that was starting to address on those

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<v Speaker 2>fiscal questions.

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<v Speaker 8>Clinton, Yeah, Clinton.

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<v Speaker 9>Yeah, Yeah, that's right. So Clinton, to his credit, and

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<v Speaker 9>don't forget, this was a big election issue in nineteen

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<v Speaker 9>ninety two.

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<v Speaker 8>The deficit, And in.

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<v Speaker 9>The middle of nineteen ninety three, Clinton with Congress passed

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<v Speaker 9>tax hikes that took effect in ninety three and played

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<v Speaker 9>off in nineteen ninety four fully and they put together

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<v Speaker 9>a plan to reduce the deficit over the nineteen nineties,

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<v Speaker 9>as they successfully did, and we went to surplus. And

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<v Speaker 9>then in nineteen ninety four, with the midterm elections and

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<v Speaker 9>the Republicans come into power, a lot more was done

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<v Speaker 9>to improve the fiscal situation and improve spending.

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<v Speaker 2>So, David, let's talk about how you're going to make

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<v Speaker 2>money the rest of this year. You've already said that

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<v Speaker 2>you think the evaluations are robust and big tech we

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<v Speaker 2>are there places you think that maybe they're not quite

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<v Speaker 2>as robust, maybe we're missing some things.

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<v Speaker 9>Well, I do scour over the equity market all the

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<v Speaker 9>time to find some the best opportunities. We store are

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<v Speaker 9>bullish on big banks. We see the best value at

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<v Speaker 9>the big banks in the US, and they're doing very

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<v Speaker 9>well the past several weeks as the recession fear.

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<v Speaker 8>As dissipated.

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<v Speaker 9>But I also like big biotech and pharmaceuticals because there

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<v Speaker 9>I see strong long term growth potential that is at

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<v Speaker 9>a very un demanding valuation right now. So tech companies,

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<v Speaker 9>they're great, but the valuations are so demanding that even

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<v Speaker 9>if these companies do wonderful things, they might not live

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<v Speaker 9>up to the expectations of investors, particularly over the short term.

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<v Speaker 9>And I'm looking for companies where there is that big

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<v Speaker 9>upside optionality that investors are not pricing.

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<v Speaker 8>We see that pharmaceuticals and biotech.

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<v Speaker 2>What about pharma schools. What's going on specifical with pharma schools?

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<v Speaker 2>So and for example, Pfizer's had a bit of a struggle, Yeah.

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<v Speaker 8>Yeah, Pfiser's definitely had a bit of a struggle.

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<v Speaker 9>And then on the opposite end you've got names like

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<v Speaker 9>Ela Lilly which are going gangbusters, and then everything in

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<v Speaker 9>between and then the companies are going through We've known

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<v Speaker 9>this a transition period from old on patent drugs to

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<v Speaker 9>the new pipeline.

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<v Speaker 8>It takes time.

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<v Speaker 9>You never know which in the pipeline is going to

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<v Speaker 9>be the hit and when. Like I said, the valuations

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<v Speaker 9>are really on demanding. Now we're going into an election

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<v Speaker 9>year and a lot of investors are shy to buy

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<v Speaker 9>healthcare stocks during an election year. I might be a

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<v Speaker 9>little bit cautious on some managed care prescription drug benefit managers,

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<v Speaker 9>but the innovators in the space, the medicine makers, this

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<v Speaker 9>is what we need, and I hope the policy makers

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<v Speaker 9>allow these companies.

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<v Speaker 8>To reach for the stars.

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<v Speaker 2>Thank you so much. Great to have you with us always,

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<v Speaker 2>as David Bianco of DWS. Coming up, we go over

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<v Speaker 2>those jobs numbers out at the end of the week

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<v Speaker 2>with our special contributor Larry Summers of Harvard. That's next

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<v Speaker 2>on Wall three Week on Bloomberg.

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<v Speaker 1>This is Bloomberg Wall Street Week with David Weston from

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<v Speaker 1>Bloomberg Radio.

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<v Speaker 2>This is Wall Street Week. I'm David Weston. We're now

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<v Speaker 2>joined by our special betur Larry Summers of Harvard's. So, Larry,

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<v Speaker 2>thank you so much for being with us. We got

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<v Speaker 2>those jobs numbers at the end of the week on Friday.

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<v Speaker 2>They were significally better than expecto. There were some down

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<v Speaker 2>revisions for the prior month. At the same time, IM

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<v Speaker 2>numbers came in a little softer. What do you make

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<v Speaker 2>of these jobs numbers and particularly perhaps the wage numbers, David.

0:11:35.080 --> 0:11:38.120
<v Speaker 3>Look, I think we're in the same kind of pattern

0:11:38.280 --> 0:11:44.000
<v Speaker 3>we've been in for us some time. As of right now,

0:11:44.080 --> 0:11:51.280
<v Speaker 3>the economy looks pretty strong and inflation looks relatively under control,

0:11:52.040 --> 0:11:55.040
<v Speaker 3>but there's a lot going on underneath the surface, and

0:11:55.120 --> 0:12:04.560
<v Speaker 3>there are still substantial risks with my three scenarios paradigm,

0:12:05.000 --> 0:12:10.439
<v Speaker 3>some risk of a downturn. We still keep not seeing

0:12:10.480 --> 0:12:16.040
<v Speaker 3>it at all in the employment numbers. In the data

0:12:16.080 --> 0:12:20.600
<v Speaker 3>on GDP, there's this big gap between total income and

0:12:20.679 --> 0:12:24.680
<v Speaker 3>total output that makes things hard to read, and there's

0:12:24.720 --> 0:12:28.400
<v Speaker 3>some worrying developments some of the business surveys like that

0:12:28.520 --> 0:12:34.760
<v Speaker 3>ism and in some of the credit data. So I

0:12:34.800 --> 0:12:37.840
<v Speaker 3>think it's possible that the economy will go into recession

0:12:38.000 --> 0:12:42.839
<v Speaker 3>in delayed response to monetary policy. That looks less likely

0:12:42.880 --> 0:12:46.640
<v Speaker 3>to me that I might have fought some months ago.

0:12:47.360 --> 0:12:52.079
<v Speaker 3>It's certainly increasingly possible that we'll have that much valuehooed

0:12:52.320 --> 0:12:57.800
<v Speaker 3>soft landing, as rare as those have been historically, and

0:12:57.840 --> 0:13:02.040
<v Speaker 3>I think there's a risk that people are still underestimating

0:13:02.760 --> 0:13:09.680
<v Speaker 3>given the very worrisome fiscal prospect of the country, given

0:13:09.720 --> 0:13:16.200
<v Speaker 3>the recent easing, quite substantial in financial conditions, given still

0:13:16.360 --> 0:13:20.640
<v Speaker 3>tight and the wage numbers again are not running right now,

0:13:21.000 --> 0:13:25.080
<v Speaker 3>today's number not running at a rate that's consistent with

0:13:25.320 --> 0:13:32.400
<v Speaker 3>the two percent inflation target, given the uncertainties in geopolitics

0:13:32.520 --> 0:13:38.160
<v Speaker 3>that could point the problems in supply chains. My gut

0:13:38.400 --> 0:13:44.800
<v Speaker 3>is still that the market is underestimating the inflation risks

0:13:44.880 --> 0:13:51.160
<v Speaker 3>in the current situation, and therefore probably overestimating the amount

0:13:51.280 --> 0:13:54.720
<v Speaker 3>of FED cutting that is going to take place. But

0:13:54.800 --> 0:13:57.679
<v Speaker 3>it's a fairly close call, and the FED is certainly

0:13:57.720 --> 0:14:05.680
<v Speaker 3>doing the right thing by being entirely vigilant and signaling

0:14:06.240 --> 0:14:12.000
<v Speaker 3>that it is very much going to be data dependent

0:14:15.160 --> 0:14:21.640
<v Speaker 3>going forward. Right here, I do read the continued strength

0:14:21.720 --> 0:14:27.120
<v Speaker 3>of the economy in the face of what's happened to rates,

0:14:27.960 --> 0:14:32.280
<v Speaker 3>as suggesting either that the neutral rate has risen substantially,

0:14:33.480 --> 0:14:38.280
<v Speaker 3>or as suggesting that the economy is less sensitive to

0:14:38.400 --> 0:14:42.600
<v Speaker 3>interest rates than we might have thought. Either one of

0:14:42.640 --> 0:14:48.240
<v Speaker 3>those considerations will suggest a bit less urgency to rate

0:14:48.320 --> 0:14:55.800
<v Speaker 3>cutting than many people suppose at the current moment.

0:14:56.200 --> 0:14:58.120
<v Speaker 2>Larry, we had a major development in something that you've

0:14:58.120 --> 0:15:00.720
<v Speaker 2>talked about in this program more than once, and that

0:15:01.000 --> 0:15:04.600
<v Speaker 2>is at Harvard, where you are a tenured professor, were

0:15:04.680 --> 0:15:07.400
<v Speaker 2>president there, but more generally at college campuses that we

0:15:07.440 --> 0:15:12.080
<v Speaker 2>saw the resignation of Cardinay from Harvard as president. I

0:15:12.160 --> 0:15:14.040
<v Speaker 2>wonder what you make of it, now that we're getting,

0:15:14.040 --> 0:15:17.160
<v Speaker 2>perhaps somewhat past the worst of the conflict, what are

0:15:17.160 --> 0:15:19.920
<v Speaker 2>the larger lessons we should learn, what can be done

0:15:19.960 --> 0:15:22.000
<v Speaker 2>in terms of reformation by the universities.

0:15:22.080 --> 0:15:27.600
<v Speaker 3>Otherwise, David, I think this is a time of testing

0:15:27.720 --> 0:15:34.680
<v Speaker 3>for universities, certainly unlike any other, certainly since the Vietnam

0:15:34.720 --> 0:15:40.160
<v Speaker 3>War period, and perhaps even going beyond that. Some of

0:15:40.200 --> 0:15:46.760
<v Speaker 3>our leading universities are under investigation, both from Republicans in

0:15:46.800 --> 0:15:53.880
<v Speaker 3>the House of Representatives and from the Education Department of

0:15:53.960 --> 0:15:59.200
<v Speaker 3>the Biden demonstration. Biden administration. You're seeing a degree of

0:16:00.360 --> 0:16:05.320
<v Speaker 3>divisiveness on campus I haven't seen since I first got

0:16:05.360 --> 0:16:13.520
<v Speaker 3>to the Harvard campus in nineteen seventy five. So I

0:16:13.560 --> 0:16:19.400
<v Speaker 3>think there's going to be a very profound challenge of

0:16:20.000 --> 0:16:28.880
<v Speaker 3>finding a vital center. Universities must stand up to some

0:16:29.040 --> 0:16:33.840
<v Speaker 3>of the vitriolic forces on the populist right that seem

0:16:33.920 --> 0:16:39.200
<v Speaker 3>to be in favor of everything up to book burning

0:16:39.880 --> 0:16:47.880
<v Speaker 3>in support of enforcing some very particular risk vision on universities.

0:16:48.760 --> 0:16:51.360
<v Speaker 3>At the same time, I don't think there's any question

0:16:52.160 --> 0:16:59.560
<v Speaker 3>that they have been threatened from within by stifling orthodoxies

0:17:00.120 --> 0:17:05.560
<v Speaker 3>have led to the cancelation of speakers that have led

0:17:05.720 --> 0:17:16.160
<v Speaker 3>to people being discomforted discomforted by discussing issues like crime,

0:17:16.600 --> 0:17:24.520
<v Speaker 3>like education except in particular prescribed ways. And it's going

0:17:24.600 --> 0:17:28.960
<v Speaker 3>to be the challenge of university leaders to find a

0:17:29.000 --> 0:17:37.080
<v Speaker 3>way between those twin abhorrent polls. I have to say

0:17:37.119 --> 0:17:44.600
<v Speaker 3>that this goes way beyond any individual. I think universities

0:17:44.680 --> 0:17:50.280
<v Speaker 3>have in many cases, including at Harvard, been failed by

0:17:50.320 --> 0:17:57.840
<v Speaker 3>their trustees. At Harvard we call the group the corporation, and.

0:17:57.800 --> 0:18:02.840
<v Speaker 10>In many ways it is their job above all to

0:18:02.960 --> 0:18:09.280
<v Speaker 10>maintain a healthy interface between the university and the broader society.

0:18:09.840 --> 0:18:12.040
<v Speaker 2>Larry, if we cast our minds back to November of

0:18:12.040 --> 0:18:15.480
<v Speaker 2>twenty sixteen, there were a lot of concerns about President

0:18:15.520 --> 0:18:17.880
<v Speaker 2>Trump when it became clear that he had been elected,

0:18:17.960 --> 0:18:20.119
<v Speaker 2>and in fact, you remember, the markets really went south,

0:18:20.400 --> 0:18:24.159
<v Speaker 2>very dramatically initially, but then they rebounded. And if you

0:18:24.240 --> 0:18:27.199
<v Speaker 2>look basically on the track record of the Trump presidency,

0:18:27.320 --> 0:18:29.679
<v Speaker 2>just from the point of view of investors as well

0:18:29.680 --> 0:18:33.000
<v Speaker 2>as the economy, it is not a terrible record. I

0:18:33.040 --> 0:18:34.680
<v Speaker 2>think it's fair to say. I mean, the markets did

0:18:34.720 --> 0:18:39.479
<v Speaker 2>reasonably well, there was employment created, there was a GDP growth.

0:18:39.800 --> 0:18:42.320
<v Speaker 2>So is it possible that we might overreact to the

0:18:42.359 --> 0:18:44.600
<v Speaker 2>possibility of a Trump two point zero?

0:18:45.359 --> 0:18:50.800
<v Speaker 3>You know, there's an old saying, fool me once, shame

0:18:50.840 --> 0:18:55.560
<v Speaker 3>on you. Fool me twice, shame on me. That's going

0:18:55.640 --> 0:18:57.480
<v Speaker 3>to be the way the rest of the world is

0:18:57.520 --> 0:19:01.040
<v Speaker 3>going to see it. The rest of the world, which

0:19:01.080 --> 0:19:05.600
<v Speaker 3>has had so much faith in the United States for

0:19:05.720 --> 0:19:10.720
<v Speaker 3>all their resentments, and so many have been so reliant

0:19:11.400 --> 0:19:16.480
<v Speaker 3>for so long, were prepared to see a first TERMP

0:19:16.680 --> 0:19:21.879
<v Speaker 3>term as an aberration. But after ninety one indictments, after

0:19:21.920 --> 0:19:27.680
<v Speaker 3>the events of January sixth, that is not how they

0:19:27.680 --> 0:19:31.439
<v Speaker 3>will see a second term that is not how they

0:19:31.480 --> 0:19:36.560
<v Speaker 3>will ever see America again. That will represent a loss

0:19:37.119 --> 0:19:41.440
<v Speaker 3>of the moral authority that the United States has had

0:19:42.000 --> 0:19:45.880
<v Speaker 3>since it won the Cold War, since it won the

0:19:45.920 --> 0:19:50.240
<v Speaker 3>Second World War, and that will, I think, make for

0:19:50.320 --> 0:19:53.240
<v Speaker 3>a much less stable world.

0:19:53.359 --> 0:19:56.000
<v Speaker 2>Okay, Larry, thank you very much for all those thoughts.

0:19:56.359 --> 0:19:58.200
<v Speaker 2>As our special contribute here on Wall Street Week, he

0:19:58.280 --> 0:20:02.800
<v Speaker 2>is Larry Summers of Harvard. Coming up, twenty twenty four

0:20:02.840 --> 0:20:05.280
<v Speaker 2>may just be the year when we figure out how

0:20:05.359 --> 0:20:08.640
<v Speaker 2>big generative AI could be. We'll talk with an economist

0:20:08.680 --> 0:20:11.400
<v Speaker 2>who's done early important work on what it could mean

0:20:11.440 --> 0:20:14.960
<v Speaker 2>for the labor market, David Otter of MIT. That's next

0:20:15.000 --> 0:20:16.680
<v Speaker 2>on Wall Street Week on Bloomberg.

0:20:18.040 --> 0:20:22.280
<v Speaker 1>This is Bloomberg Wall Street Week with David Weston from

0:20:22.400 --> 0:20:25.080
<v Speaker 1>Bloomberg Radio.

0:20:29.760 --> 0:20:32.240
<v Speaker 2>This is Wall Street Week. I'm David Weston. The new

0:20:32.320 --> 0:20:34.600
<v Speaker 2>year will bring with it a presidential election in the

0:20:34.720 --> 0:20:38.400
<v Speaker 2>United States with potentially very different approaches to the economy

0:20:38.440 --> 0:20:41.000
<v Speaker 2>weighing in the balance. Here on Wall Street Week, we're

0:20:41.000 --> 0:20:43.760
<v Speaker 2>going to cover the election by focusing specifically on what

0:20:43.920 --> 0:20:46.920
<v Speaker 2>it could mean for the economy and for investors. So

0:20:46.960 --> 0:20:50.720
<v Speaker 2>we ask Bloomberg International Economics and Policy courspondent Michael McKee

0:20:51.000 --> 0:20:53.520
<v Speaker 2>to start the conversation by laying out what we know

0:20:53.680 --> 0:20:56.560
<v Speaker 2>at this point about the approaches of the two front runners,

0:20:56.760 --> 0:20:59.119
<v Speaker 2>President Biden and former President Trump.

0:21:00.640 --> 0:21:04.000
<v Speaker 11>It's been thirty two years since political strategist James Carvel

0:21:04.160 --> 0:21:07.399
<v Speaker 11>hammered home the idea that when it comes to presidential elections,

0:21:07.920 --> 0:21:11.639
<v Speaker 11>it's the economy stupid. But in twenty twenty four, is

0:21:11.640 --> 0:21:15.680
<v Speaker 11>it entering this election year Compared with election year's past.

0:21:15.920 --> 0:21:19.720
<v Speaker 11>The economy is growing by around four percent, the most

0:21:19.880 --> 0:21:23.800
<v Speaker 11>since two thousand and three, With one exception. Unemployment is

0:21:23.840 --> 0:21:26.719
<v Speaker 11>the lowest it's been entering an election year since nineteen

0:21:26.800 --> 0:21:28.639
<v Speaker 11>sixty eight, when a lot of men were employed by

0:21:28.640 --> 0:21:31.840
<v Speaker 11>the US Army in Vietnam. The exception was twenty twenty,

0:21:32.000 --> 0:21:35.520
<v Speaker 11>when COVID doubled the jobless rate between January and election

0:21:35.640 --> 0:21:38.600
<v Speaker 11>day in November. Inflation is higher than any year since

0:21:38.720 --> 0:21:41.400
<v Speaker 11>two thousand and seven, but it's been cut in half

0:21:41.480 --> 0:21:43.840
<v Speaker 11>over the last twelve months and should be close to

0:21:43.840 --> 0:21:47.680
<v Speaker 11>the election year average by November by the carvill yardstick,

0:21:47.920 --> 0:21:51.240
<v Speaker 11>it's somewhat surprising that President Joe Biden isn't far ahead

0:21:51.280 --> 0:21:54.240
<v Speaker 11>in the polls. It may be that voters haven't shaken

0:21:54.280 --> 0:21:57.359
<v Speaker 11>off the COVID pandemic. Yet they're comparing the economy of

0:21:57.400 --> 0:22:00.399
<v Speaker 11>the past three years to where it was under Trump

0:22:00.400 --> 0:22:03.560
<v Speaker 11>in twenty nineteen, and they're not focused on what Trump

0:22:03.680 --> 0:22:08.919
<v Speaker 11>is promising. Draconian changes. He wants across the board tariff increases,

0:22:08.960 --> 0:22:13.480
<v Speaker 11>which would raise prices for just about everything, threatening inflation.

0:22:14.040 --> 0:22:18.000
<v Speaker 11>Remember when the US raises tariff's, Americans, not foreigners pay

0:22:18.000 --> 0:22:22.639
<v Speaker 11>the difference. Trump is talking about massive deportation of illegal aliens,

0:22:22.680 --> 0:22:26.280
<v Speaker 11>which would hit the labor market hard. On employment, particularly

0:22:26.320 --> 0:22:30.359
<v Speaker 11>in lower wage service sectors, would rise. He would renew

0:22:30.480 --> 0:22:34.680
<v Speaker 11>and expand tax cuts expiring in twenty twenty five, increasing

0:22:34.680 --> 0:22:37.840
<v Speaker 11>the deficit. The good news for President Biden is the

0:22:37.880 --> 0:22:42.160
<v Speaker 11>economic outlook remains bright. If inflation keeps falling, interest rates

0:22:42.200 --> 0:22:45.959
<v Speaker 11>are expected to follow, and that would stimulate faster growth

0:22:46.240 --> 0:22:50.679
<v Speaker 11>and higher stock prices. The Biden camp is betting people

0:22:50.800 --> 0:22:54.600
<v Speaker 11>will notice. The bad news is this year it may

0:22:54.640 --> 0:22:58.320
<v Speaker 11>not be the economy stupid and Wall Street may not care.

0:22:58.960 --> 0:23:00.920
<v Speaker 11>The S and P five hundre it rose twenty four

0:23:00.960 --> 0:23:04.520
<v Speaker 11>percent under Biden last year, but it rose twenty nine

0:23:04.640 --> 0:23:08.560
<v Speaker 11>percent under Trump in twenty nineteen, so this election may

0:23:08.600 --> 0:23:13.760
<v Speaker 11>turn not on pocketbook issues, but personalities. Not that personalities

0:23:13.800 --> 0:23:17.120
<v Speaker 11>are all bad. The nineteen ninety two election brought Larry

0:23:17.200 --> 0:23:18.640
<v Speaker 11>Summers into government.

0:23:19.440 --> 0:23:24.080
<v Speaker 2>David, the generative Artificial intelligence was one of the hottest

0:23:24.119 --> 0:23:26.840
<v Speaker 2>topics for investors in twenty twenty three and looks to

0:23:26.880 --> 0:23:29.240
<v Speaker 2>be the same in twenty twenty four. There's much we

0:23:29.359 --> 0:23:32.359
<v Speaker 2>don't know about what it could ultimately mean, including about

0:23:32.359 --> 0:23:34.960
<v Speaker 2>the effect on productivity and growth in the labor market.

0:23:35.200 --> 0:23:38.120
<v Speaker 2>David Otter, he is MIT Professor of Economics, has done

0:23:38.160 --> 0:23:41.240
<v Speaker 2>some of the earliest seminal work on this subject, and

0:23:41.240 --> 0:23:43.320
<v Speaker 2>we welcome now to Wall Street Week. So Professor, thanks

0:23:43.320 --> 0:23:45.000
<v Speaker 2>so much for being with us. As I say, it's

0:23:45.080 --> 0:23:47.679
<v Speaker 2>really early going and we don't know a lot. But

0:23:48.000 --> 0:23:50.840
<v Speaker 2>what do we think we might know about productivity and growth,

0:23:50.880 --> 0:23:53.320
<v Speaker 2>because that's what investors seem to be most interested in.

0:23:53.720 --> 0:23:56.600
<v Speaker 4>Thanks very much for inviting me. What you said is correct.

0:23:56.680 --> 0:23:59.359
<v Speaker 4>We don't know very much about the pro TV consequences.

0:24:00.040 --> 0:24:03.680
<v Speaker 4>It's easy to project enormous potential gains, but we would

0:24:03.680 --> 0:24:06.720
<v Speaker 4>have made the same projection about the computer era of

0:24:06.760 --> 0:24:08.800
<v Speaker 4>the last four years, and in fact growth has been

0:24:08.840 --> 0:24:12.800
<v Speaker 4>relatively disappointing, especially for the last fifteen years. So I

0:24:12.800 --> 0:24:16.240
<v Speaker 4>think there's enormous upside potential, but sometimes that potential doesn't

0:24:16.240 --> 0:24:19.439
<v Speaker 4>turn into reality, and you know, we will spend some

0:24:19.480 --> 0:24:21.920
<v Speaker 4>of the productivity of AI dealing with the problems that

0:24:22.000 --> 0:24:27.879
<v Speaker 4>AI creates, including hoscination, including vulnerabilities, cyber attacks, and so

0:24:28.359 --> 0:24:30.920
<v Speaker 4>part of that gain that so called you know, AI

0:24:30.960 --> 0:24:34.360
<v Speaker 4>dividend will actually be squandered on AI defense.

0:24:34.920 --> 0:24:37.360
<v Speaker 2>Talking about productivity and growth them is sort of talking

0:24:37.400 --> 0:24:39.560
<v Speaker 2>about whether the pie gets bigger overall? What about how

0:24:39.600 --> 0:24:42.359
<v Speaker 2>we divide up the pie that is distributionally, particularly in

0:24:42.400 --> 0:24:44.600
<v Speaker 2>the labor market, because you've done some work there based

0:24:44.640 --> 0:24:47.880
<v Speaker 2>on past history, but what we think might happen with jobs,

0:24:47.920 --> 0:24:50.119
<v Speaker 2>who gets better jobs, who gets worse jobs.

0:24:50.320 --> 0:24:53.240
<v Speaker 4>So the period we're concluding now, the computer era, the

0:24:53.240 --> 0:24:55.679
<v Speaker 4>traditional computer era, has been one of rising inequality, and

0:24:55.720 --> 0:24:57.399
<v Speaker 4>we think that computing has had a lot to do

0:24:57.480 --> 0:25:00.800
<v Speaker 4>with that because it's been very complementary to decision makers,

0:25:01.520 --> 0:25:04.520
<v Speaker 4>you know, to lawyers and doctors and marketers and people

0:25:04.560 --> 0:25:09.320
<v Speaker 4>who basically use information and analysis to make high stakes,

0:25:09.480 --> 0:25:12.560
<v Speaker 4>one off decisions. It's displaced a lot of workers from

0:25:12.600 --> 0:25:14.879
<v Speaker 4>production work, from office work, and sort of pushed them

0:25:14.880 --> 0:25:19.600
<v Speaker 4>down into less expert jobs in food service, cleaning, security, entertainment, recreation,

0:25:19.920 --> 0:25:23.440
<v Speaker 4>and those are socially valuable work, but it's paid poorly

0:25:23.840 --> 0:25:28.200
<v Speaker 4>because it doesn't require specialized expertise. And so computing, as

0:25:28.240 --> 0:25:31.720
<v Speaker 4>we understand it has actually not been that great for

0:25:31.800 --> 0:25:35.880
<v Speaker 4>growth and really created a lot of inquality. I think

0:25:35.920 --> 0:25:39.320
<v Speaker 4>AI has the potential to work quite quite differently.

0:25:39.880 --> 0:25:42.280
<v Speaker 2>As you talk, it sounds to me there's another distributional

0:25:42.320 --> 0:25:46.040
<v Speaker 2>potential effect here people, for example, receiving medical care, which

0:25:46.080 --> 0:25:49.000
<v Speaker 2>is far from equally divided in this country, and goodness

0:25:49.000 --> 0:25:51.399
<v Speaker 2>knows around the world. Is the potential that more people

0:25:51.400 --> 0:25:53.800
<v Speaker 2>will have access to better healthcare in the United States

0:25:53.840 --> 0:25:54.560
<v Speaker 2>and around the world.

0:25:54.800 --> 0:25:57.280
<v Speaker 4>It's a great question. So I do think there's a

0:25:57.280 --> 0:26:01.440
<v Speaker 4>lot of super expensive services that or expenses specifically because

0:26:01.480 --> 0:26:03.480
<v Speaker 4>they're provided by highly paid experts. So that would be

0:26:03.520 --> 0:26:05.719
<v Speaker 4>in education, that would be in healthcare, that would be

0:26:05.800 --> 0:26:08.120
<v Speaker 4>in architecture and design, that would be in software development,

0:26:08.440 --> 0:26:13.520
<v Speaker 4>and AI could make those things more accessible. I think

0:26:13.520 --> 0:26:17.600
<v Speaker 4>that's going to have that has potentially enormous benefits both

0:26:17.720 --> 0:26:20.879
<v Speaker 4>in rich industrialized countries like the United States and potentially

0:26:20.920 --> 0:26:23.000
<v Speaker 4>even more so in the developing world, where that type

0:26:23.000 --> 0:26:27.479
<v Speaker 4>of expertise is even more scarce. How we do that,

0:26:27.600 --> 0:26:30.120
<v Speaker 4>of course, depends a lot on our institutions, right, So

0:26:31.040 --> 0:26:34.600
<v Speaker 4>the good scenario is the price of medical care comes down,

0:26:34.600 --> 0:26:38.160
<v Speaker 4>it becomes more broadly available that we allocate it more efficiently.

0:26:38.359 --> 0:26:41.200
<v Speaker 4>The bad scenario is basically, if you're wealthy, you see

0:26:41.240 --> 0:26:43.399
<v Speaker 4>a highly paid doctor, and if you're not wealthy, you

0:26:43.440 --> 0:26:47.000
<v Speaker 4>see a machine. So we shouldn't count on the technology

0:26:47.040 --> 0:26:50.720
<v Speaker 4>to solve our problems for us. It opens possibilities, but

0:26:50.800 --> 0:26:53.520
<v Speaker 4>how we use them is really a societal choice. And

0:26:53.600 --> 0:26:55.480
<v Speaker 4>just to give you a very stark example of this,

0:26:55.600 --> 0:26:59.320
<v Speaker 4>you know, in the nineteen forties scientists figure out how

0:26:59.400 --> 0:27:04.480
<v Speaker 4>to harness controlled nuclear fission that has two really powerful uses.

0:27:04.840 --> 0:27:07.240
<v Speaker 4>One is for energy generation and the other is for

0:27:07.400 --> 0:27:11.240
<v Speaker 4>a nuclear weapons. North Korea is a country that has

0:27:11.400 --> 0:27:15.879
<v Speaker 4>lots and lots offensive nuclear weapons, but no nuclear power plants. Japan,

0:27:16.200 --> 0:27:19.560
<v Speaker 4>the only country against which offensive nuclear weapons has ever

0:27:19.600 --> 0:27:23.920
<v Speaker 4>been used, has no nuclear weapons and dozens of nuclear

0:27:23.920 --> 0:27:27.720
<v Speaker 4>power plants. So AI is a bit like nuclear energy,

0:27:27.760 --> 0:27:30.280
<v Speaker 4>but in some ways more powerful and certainly more applicable.

0:27:30.520 --> 0:27:33.199
<v Speaker 4>We can use it for really good things and for

0:27:33.359 --> 0:27:36.000
<v Speaker 4>really destructive things, and already both of those are current.

0:27:37.080 --> 0:27:38.879
<v Speaker 2>And finally, Professor, let's come back to where we started.

0:27:39.000 --> 0:27:41.879
<v Speaker 2>The uncertainty about AI right now, because one of the

0:27:41.880 --> 0:27:44.160
<v Speaker 2>things I've learned from you and from others is this

0:27:44.200 --> 0:27:46.760
<v Speaker 2>is not just a matter of degree, but perhaps of kind.

0:27:46.920 --> 0:27:49.879
<v Speaker 2>That is to say, basically, with automation, people who are

0:27:50.280 --> 0:27:52.399
<v Speaker 2>really expert in this know how it works. They know

0:27:52.400 --> 0:27:55.080
<v Speaker 2>what the rules are that the computers are following AI

0:27:55.240 --> 0:27:57.880
<v Speaker 2>generative AI, as I understand, we literally don't know how

0:27:57.920 --> 0:27:59.760
<v Speaker 2>it works and never will know how it works. It

0:27:59.760 --> 0:28:01.880
<v Speaker 2>does know how it works itself. What does that say

0:28:01.880 --> 0:28:04.200
<v Speaker 2>about our ability to predict where it's going and how

0:28:04.240 --> 0:28:04.880
<v Speaker 2>to manage it?

0:28:05.119 --> 0:28:08.120
<v Speaker 4>So your point is nexcellent one. Just to slightly clarify,

0:28:08.720 --> 0:28:11.439
<v Speaker 4>we understand, or you know, computer scientist understand mathematically what

0:28:11.440 --> 0:28:14.160
<v Speaker 4>it's doing. But in any given instance, it's like a child.

0:28:14.200 --> 0:28:16.919
<v Speaker 4>It's learned some lessons. What it will actually you know,

0:28:16.960 --> 0:28:18.600
<v Speaker 4>it's read some things and encounters some things. What will

0:28:18.600 --> 0:28:21.680
<v Speaker 4>actually do on any given occasion is extremely hard to predict.

0:28:21.800 --> 0:28:23.840
<v Speaker 4>You'd have to know everything it's ever been exposed to.

0:28:24.680 --> 0:28:27.840
<v Speaker 4>So that makes it actually a lot like human experts

0:28:27.840 --> 0:28:30.880
<v Speaker 4>in some ways, because we ourselves a unpredictable in the sense.

0:28:30.920 --> 0:28:33.520
<v Speaker 4>But it means that when we interact with AI, we

0:28:33.600 --> 0:28:37.320
<v Speaker 4>need to learn how to treat it not as authoritative

0:28:37.960 --> 0:28:41.720
<v Speaker 4>but as a guide or support to decision making, and

0:28:42.080 --> 0:28:43.680
<v Speaker 4>that's really critical a professor.

0:28:43.720 --> 0:28:46.480
<v Speaker 2>Does that necessarily lead to regulation, that is to say,

0:28:46.640 --> 0:28:50.080
<v Speaker 2>the government telling us when we should and shouldn't use

0:28:50.120 --> 0:28:52.200
<v Speaker 2>AI because we don't want to use it the wrong way?

0:28:52.640 --> 0:28:55.000
<v Speaker 4>I think it leads to a couple of types of regulation.

0:28:55.440 --> 0:28:58.200
<v Speaker 4>One of them is safety regulation. But we're actually pretty

0:28:58.240 --> 0:29:00.080
<v Speaker 4>good at that. You can't buy our toaster of and

0:29:00.160 --> 0:29:04.280
<v Speaker 4>that doesn't meet energy standards and fire proofness standards. And

0:29:04.320 --> 0:29:06.720
<v Speaker 4>so when we're using AI and specific applications like in

0:29:07.240 --> 0:29:11.360
<v Speaker 4>aircraft or in medicine or in cars, the government should

0:29:11.640 --> 0:29:14.720
<v Speaker 4>and I think will regulate that and so absolutely. But

0:29:14.760 --> 0:29:16.520
<v Speaker 4>there's two other forms of regulation that I think we

0:29:16.560 --> 0:29:21.120
<v Speaker 4>are much harder. One is AI you know desperately, you know,

0:29:21.320 --> 0:29:25.680
<v Speaker 4>chips away or let me say, but differently, AI really

0:29:25.720 --> 0:29:29.040
<v Speaker 4>threatens the foundation of our intellectual property system or our

0:29:29.080 --> 0:29:32.120
<v Speaker 4>copyright laws. They just weren't built in anticipation of machines

0:29:32.160 --> 0:29:35.400
<v Speaker 4>that would absorb and then memorize and not exactly reproduce

0:29:35.480 --> 0:29:38.920
<v Speaker 4>but pretty much replicate what's already there. So that's an issue,

0:29:38.960 --> 0:29:41.840
<v Speaker 4>and I really think there's a real threat to you know,

0:29:41.880 --> 0:29:45.520
<v Speaker 4>to newspapers to create, to illustrators, to artists, to actors.

0:29:46.080 --> 0:29:49.640
<v Speaker 4>That needs to be negotiated and set properly in law,

0:29:49.760 --> 0:29:52.360
<v Speaker 4>in bargaining. And we've already seen the screenwriters skill do that,

0:29:52.400 --> 0:29:55.160
<v Speaker 4>the actors skill do that. But that's only the very beginning.

0:29:55.200 --> 0:29:57.040
<v Speaker 2>Professor, Thank you so much for joining us on Wall Street.

0:29:57.080 --> 0:29:57.800
<v Speaker 1>MAK really appreciate.

0:29:57.960 --> 0:30:00.160
<v Speaker 2>That's David, author of MIT.

0:30:01.920 --> 0:30:02.440
<v Speaker 1>Coming up.

0:30:02.560 --> 0:30:04.560
<v Speaker 2>Why pay for the cow when you can get the

0:30:04.640 --> 0:30:10.520
<v Speaker 2>milk for free? Just ask Michigan coach Jim Harbaugh. That's

0:30:10.640 --> 0:30:12.560
<v Speaker 2>next down Wall Street Week on Bloomberg.

0:30:14.040 --> 0:30:18.240
<v Speaker 1>This is Bloomberg Wall Street Week with David Weston from

0:30:18.360 --> 0:30:21.040
<v Speaker 1>Bloomberg Radio.

0:30:25.760 --> 0:30:28.720
<v Speaker 2>Finally, one more thought. They say you get what you

0:30:28.840 --> 0:30:32.000
<v Speaker 2>pay for. According to Wikipedia, it's an expression of the

0:30:32.040 --> 0:30:35.240
<v Speaker 2>so called common law of business balance, though no one

0:30:35.280 --> 0:30:38.320
<v Speaker 2>seems to know exactly where it came from. One follower

0:30:38.360 --> 0:30:41.360
<v Speaker 2>of this supposed rule of business balance is Warren Buffett,

0:30:41.600 --> 0:30:44.479
<v Speaker 2>at least after his partner Charlie Munger persuaded him it

0:30:44.520 --> 0:30:46.360
<v Speaker 2>was better to pay a fair price for a great

0:30:46.360 --> 0:30:48.800
<v Speaker 2>company than to pay a great price. For just a

0:30:48.800 --> 0:30:52.360
<v Speaker 2>fair company, and his Messrs Buffett and Munger proved paying

0:30:52.440 --> 0:30:55.280
<v Speaker 2>up for great assets and talent most of the time

0:30:55.600 --> 0:30:57.960
<v Speaker 2>is the way to go, like for those who stepped

0:30:58.000 --> 0:31:00.160
<v Speaker 2>up in twenty twenty three and paid full price for

0:31:00.200 --> 0:31:03.760
<v Speaker 2>big tech stocks when others were insisting they were overvalued.

0:31:04.160 --> 0:31:06.960
<v Speaker 2>As we know, in the end, the Magnificent seven proved

0:31:06.960 --> 0:31:10.240
<v Speaker 2>to be worth every penny, at least in twenty twenty three.

0:31:10.440 --> 0:31:12.520
<v Speaker 4>I think a lot of these names have a lot

0:31:12.520 --> 0:31:13.520
<v Speaker 4>of growth in.

0:31:13.440 --> 0:31:14.920
<v Speaker 9>Them over the long term.

0:31:15.120 --> 0:31:19.320
<v Speaker 12>However, in the short term profit taking happens, it's good

0:31:19.320 --> 0:31:21.320
<v Speaker 12>to lock in some of those great returns that we

0:31:21.360 --> 0:31:22.880
<v Speaker 12>saw in twenty twenty three.

0:31:23.320 --> 0:31:25.520
<v Speaker 2>And one of the big tech companies that certainly got

0:31:25.600 --> 0:31:28.560
<v Speaker 2>what it paid for was Microsoft with its thirteen billion

0:31:28.600 --> 0:31:32.000
<v Speaker 2>dollar investment in open Ai, which despite a bit of

0:31:32.040 --> 0:31:34.880
<v Speaker 2>trouble along the way, is now valued at something like

0:31:34.960 --> 0:31:38.480
<v Speaker 2>one hundred billion dollars. We continue to be committed to

0:31:38.520 --> 0:31:41.240
<v Speaker 2>open Ai, and we continue to be committed to Sam

0:31:41.280 --> 0:31:43.960
<v Speaker 2>and Greg and the team, or in respect your where

0:31:44.000 --> 0:31:46.920
<v Speaker 2>they are. Hollywood writers did their best last year to

0:31:46.960 --> 0:31:49.920
<v Speaker 2>show us all that if we want their best creative output,

0:31:50.040 --> 0:31:52.960
<v Speaker 2>the students will have to pay full value, and in

0:31:53.000 --> 0:31:54.720
<v Speaker 2>the end they made their point.

0:31:55.000 --> 0:31:56.960
<v Speaker 3>This deal is the very best deal that could be

0:31:57.040 --> 0:31:59.960
<v Speaker 3>negotiated at this time, even with the use of all

0:32:00.040 --> 0:32:02.440
<v Speaker 3>the leverage that we generated from having a strike for

0:32:02.480 --> 0:32:03.880
<v Speaker 3>one hundred and eighteen days.

0:32:04.000 --> 0:32:06.719
<v Speaker 2>And while we were in Hollywood, Warner Brothers didn't scrimp

0:32:06.760 --> 0:32:09.400
<v Speaker 2>when it put together the Barbie Movie, as the budget

0:32:09.440 --> 0:32:12.640
<v Speaker 2>ballooned to one hundred and forty five million dollars and

0:32:12.680 --> 0:32:15.320
<v Speaker 2>it certainly got what it paid for and then some,

0:32:15.720 --> 0:32:18.760
<v Speaker 2>with global box office receipts somewhere north of one point

0:32:18.800 --> 0:32:22.920
<v Speaker 2>four billion dollars. Of course, paying top dollar doesn't always

0:32:22.960 --> 0:32:26.400
<v Speaker 2>guarantee you'll make money on the deal. Just ask Elon Musk,

0:32:26.440 --> 0:32:29.520
<v Speaker 2>who paid forty four billion dollars for Twitter, renamed it

0:32:29.840 --> 0:32:32.760
<v Speaker 2>X and now admits it's worth about half that. While

0:32:32.800 --> 0:32:35.640
<v Speaker 2>others think he may be optimistic.

0:32:35.280 --> 0:32:39.120
<v Speaker 7>We've just seen a huge erasure of value from X

0:32:39.160 --> 0:32:40.120
<v Speaker 7>since Elon took over.

0:32:40.600 --> 0:32:43.160
<v Speaker 2>And at this point it's far from certain whether Steve

0:32:43.200 --> 0:32:45.680
<v Speaker 2>Cohen will get his money's worth from the Mets, what

0:32:45.800 --> 0:32:48.000
<v Speaker 2>with a two point four billion dollar price to egg,

0:32:48.120 --> 0:32:50.960
<v Speaker 2>the hundreds of millions he's committed to the largest payroll

0:32:51.120 --> 0:32:53.719
<v Speaker 2>in Major League Baseball and his plan to put another

0:32:53.800 --> 0:32:57.880
<v Speaker 2>eight billion dollars into developing fifty acres around City Field.

0:32:58.280 --> 0:33:00.920
<v Speaker 2>Now it's the Los Angeles Dodgers, and to hope their

0:33:00.960 --> 0:33:04.320
<v Speaker 2>new star pitcher, Shohei Otani will be worth their record

0:33:04.440 --> 0:33:07.440
<v Speaker 2>seven hundred million dollars, they've promised to pay him, Which

0:33:07.480 --> 0:33:10.360
<v Speaker 2>takes us to the one place left, at least in sports,

0:33:10.400 --> 0:33:13.040
<v Speaker 2>where you can have a multi billion dollar business and

0:33:13.200 --> 0:33:16.520
<v Speaker 2>effectively not pay at all for those doing the real work.

0:33:16.880 --> 0:33:20.720
<v Speaker 2>College football, where players give their all throughout the fall

0:33:20.840 --> 0:33:24.960
<v Speaker 2>every Saturday, risking life and limb for exactly zero pay,

0:33:25.560 --> 0:33:29.600
<v Speaker 2>something that Michigan coach Jim Harbaugh says has to change.

0:33:29.800 --> 0:33:38.480
<v Speaker 12>What I don't understand is how the NCAA television networks, conferences, universities,

0:33:39.160 --> 0:33:43.400
<v Speaker 12>and coaches can continue to pull in millions and in

0:33:43.440 --> 0:33:48.120
<v Speaker 12>some cases billions of dollars in revenue off the efforts

0:33:48.200 --> 0:33:53.000
<v Speaker 12>of college student athletes across the country without providing enough

0:33:53.000 --> 0:33:56.560
<v Speaker 12>opportunity to share in the ever increase in revenues.

0:33:56.960 --> 0:34:00.400
<v Speaker 2>Now, let's see whether Hawballs players win that national champceanship

0:34:00.400 --> 0:34:04.560
<v Speaker 2>on Monday, even without pay Go Blue. That does it.

0:34:04.600 --> 0:34:06.760
<v Speaker 2>For this episode of Wall Street Week, I'm David Weston

0:34:06.920 --> 0:34:07.640
<v Speaker 2>see you next week.