WEBVTT - Trump Says He Will Delay Mexico Tariffs on Goods Under USMCA

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio news.

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<v Speaker 2>This is Bloomberg Business Week Insight from the reporters and

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<v Speaker 2>Podcast with Carol Masser and Tim Stenovek on Bloomberg Radio.

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<v Speaker 3>Hard to keep track, you know it. We have watched

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<v Speaker 3>the headlines come fast and furious. We are trying to

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<v Speaker 3>know when it comes to the US administration's policy on

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<v Speaker 3>US tariffs. What we do know at this hour. President

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<v Speaker 3>Trump said he will exempt Mexico from his new twenty

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<v Speaker 3>five percent tariffs on any goods and services that fall

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<v Speaker 3>under the North American trade agreement that he actually renegotiating

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<v Speaker 3>during renegotiated, i should say, during his first administration. So

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<v Speaker 3>this does offer reprieve for a major, major US trading partner.

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<v Speaker 4>A reprieve, but perhaps just until April second. Back to

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<v Speaker 4>our DC News Bureau and Bloomberg Intelligence Senior pol analyst

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<v Speaker 4>Nathan deeed, it's hard for us, Nathan, to keep track

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<v Speaker 4>of it. What are you telling Bloomberg clients about what

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<v Speaker 4>they need to know in terms of timing and how

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<v Speaker 4>much these tariffs are going to affect them.

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<v Speaker 5>Yeah, So what we're coining this is we're coining this

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<v Speaker 5>as shock and awe strategy for tariffs, where President Trump

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<v Speaker 5>comes out here and says, look, this is what I'm

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<v Speaker 5>going to do. It's going to happen. I'm not going

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<v Speaker 5>to negotiate. And we saw this with Canada. Mexico tariffs

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<v Speaker 5>are on thirty day extension, tariffs are on. Now we're

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<v Speaker 5>seeing the exemption for Mexico. So come April second, which

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<v Speaker 5>is the next major catalyst. Obviously there's potentially some negotiations

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<v Speaker 5>with Canada to go between then, but with April second,

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<v Speaker 5>clients need to prepare for this idea that these reciprocal

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<v Speaker 5>tariffs are going to come. But they also have to

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<v Speaker 5>prepare for the idea that there are going to be exemptions.

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<v Speaker 5>The one thing that President Trump does not want to

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<v Speaker 5>see is sticker shock amongst the consumer base. So if

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<v Speaker 5>you're talking about any types of goods, you know, we

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<v Speaker 5>saw the big three automobile makers in there. They got

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<v Speaker 5>their exemption. So I do think that President Trump will

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<v Speaker 5>be amicable to some exemptions when it comes to April second.

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<v Speaker 5>He just may be in the days after April second,

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<v Speaker 5>not the lead up to it. So you have to

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<v Speaker 5>certainly pay attention to it because it's going to be

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<v Speaker 5>really interesting to see what happens.

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<v Speaker 3>Can I just say to anybody, see the trade deficit

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<v Speaker 3>today winding to a record ahead of these tariffs. I mean,

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<v Speaker 3>I know people might be bringing stuff in to get

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<v Speaker 3>ahead of them, but I mean we import a ton

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<v Speaker 3>of stuff. So are we talking, ultimately, Nathan about a

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<v Speaker 3>lot of exemptions to come.

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<v Speaker 5>Well, you know that's the challenge here is because you know,

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<v Speaker 5>every industry is going to want their own exemption. The

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<v Speaker 5>big three automobile makers were in there, Tim Cook from

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<v Speaker 5>Apple could be in there next time talking about an

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<v Speaker 5>exemption for the technic industry. So you know what I

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<v Speaker 5>think he needs to happen here is, you know, we

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<v Speaker 5>prepare for the worst case scenario, and the worst case

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<v Speaker 5>scenario is reciprocal tariffs across the board. But then also

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<v Speaker 5>you just have to remember that what are the industries

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<v Speaker 5>and what are the consumer facing goods that American people

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<v Speaker 5>want President Trump to bring the price down?

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<v Speaker 2>Food?

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<v Speaker 5>In particular, this is something that drove a lot of

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<v Speaker 5>voters to him at the end of twenty two in

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<v Speaker 5>the elections. So I think what the White House will

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<v Speaker 5>do is to look and see, Okay, what industries in

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<v Speaker 5>which sectors do we think are going to hurt the

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<v Speaker 5>American consumer more than others? And look, automobiles technology, that's

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<v Speaker 5>something that Americans buy quite a lot of. So I

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<v Speaker 5>wasn't surprised to see the exemption for the automobile makers there.

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<v Speaker 5>So it's really hard to tell, though, because there's only

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<v Speaker 5>one person that decides whether these tariffs are on or off,

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<v Speaker 5>and it's President Trump, and so we just have to

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<v Speaker 5>like prepare for one scenario and prepare for the other.

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<v Speaker 4>Nathan, I know this is fast moving, and I know

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<v Speaker 4>that we are only getting details sort of as they

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<v Speaker 4>come out day by day and even hour by hour.

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<v Speaker 4>But have we been able to has Bloomberg been able

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<v Speaker 4>to quantify now, given the thirty day reprieve from the

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<v Speaker 4>tariffs on Mexico, what actually is tariff in terms of

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<v Speaker 4>amount of goods?

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<v Speaker 5>Yeah, so we were looking at this morning, and obviously

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<v Speaker 5>the exemption is for all goods that found her within

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<v Speaker 5>the US MCA. We think that's probably close to one

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<v Speaker 5>hundred percent, not exactly, but even the President of Mexico

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<v Speaker 5>this morning, you know, the President of Mexico said in

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<v Speaker 5>her briefing that's pretty much everything. So, you know, I

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<v Speaker 5>want to say that, you know, obviously these you know,

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<v Speaker 5>the headlines are there and so forth, but you know,

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<v Speaker 5>we think it's effectively a push off of the tariff

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<v Speaker 5>until April second. The situation obviously is a little bit

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<v Speaker 5>different in Canada. You know, Prime Minister Justin Trudeau and

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<v Speaker 5>President Trump have been feuding a little bit on social media,

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<v Speaker 5>and I think that's probably going to continue because what

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<v Speaker 5>we you know, we discussed this yesterday in the program.

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<v Speaker 5>The negotiation stance that we saw coming from Mexico was

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<v Speaker 5>different than the take that we saw it was coming

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<v Speaker 5>from Canada, and it looks like it got different results.

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<v Speaker 5>So unless that relationship between Ottawa and Washington changes, the

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<v Speaker 5>Canadian tariffs may be here until April second, if not longer.

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<v Speaker 3>Nathan, I mean, we can't get in this mind. We

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<v Speaker 3>don't know what he's ultimately thinking. But what does President

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<v Speaker 3>Trump ultimately want? Is it tariffs and pushback? Is it

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<v Speaker 3>something else that he wants from these countries, from our allies,

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<v Speaker 3>from our major trading partners. Do we know what it is?

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<v Speaker 5>I think what it is is he wants a fundamental

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<v Speaker 5>shift in terms of the American economy. If you listen

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<v Speaker 5>to Scott best Into, the Treasury Secretary in his speech

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<v Speaker 5>this he was talking about how, you know, manufacturing can

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<v Speaker 5>come back to the United States. The challenge with that

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<v Speaker 5>is is that in order to build a plant, or

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<v Speaker 5>buy a plant, or shift the supply chain, you're talking

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<v Speaker 5>about a three four five year you know time frame

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<v Speaker 5>and you know tariffs, on the other hand, are going

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<v Speaker 5>to have an immediate time frame in terms of price

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<v Speaker 5>and consumer impact. So that's I think the challenge for

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<v Speaker 5>the White House here is you have a long term

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<v Speaker 5>strategy and a long term goal, but you're going to

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<v Speaker 5>have to deal with short term pain in the interim.

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<v Speaker 5>The question is will the White House stomach that short

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<v Speaker 5>term gain or short term pain and the economic hit

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<v Speaker 5>in order to achieve their long term goals. I'm not

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<v Speaker 5>so sure.

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<v Speaker 3>Well, it's interesting when you talk about supply chains. We've

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<v Speaker 3>talked with our Markerman about the apple supply chain, as

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<v Speaker 3>massive as it is, and how that would take a

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<v Speaker 3>long long time to shift in terms of you know,

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<v Speaker 3>so much over in China, how.

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<v Speaker 6>Much time they spend building it up.

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<v Speaker 3>Yeah, in China, several decades, right and so, and ultimately

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<v Speaker 3>that assembly to try and replicate that, create that somewhere else.

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<v Speaker 3>That is something that would take many, many years to do. Nathan,

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<v Speaker 3>as always, thank you. Nathan Dean, senior policy analyst at

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<v Speaker 3>Bloomberg Intelligence, joining us from our Washington, DC bureau.

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<v Speaker 4>Okay, so you're up to date on US tariffs for now,

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<v Speaker 4>but no promises for what happens over the next day, ten,

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<v Speaker 4>twenty four or forty eight hours. We're going to stay

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<v Speaker 4>in DC with our focus now on the US labor market.

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<v Speaker 4>We're gonna get the closely watched monthly jobs report coming

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<v Speaker 4>from the US government tomorrow. Lots of conversations though being

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<v Speaker 4>had right now about how the cuts to the federal

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<v Speaker 4>workforce will impact the US labor picture.

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<v Speaker 3>All right, with more on that, we head back to Washington,

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<v Speaker 3>DC into Bloomberg News Real Economy Team reporter Mark Naquette. Mark,

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<v Speaker 3>a couple of things I want to get to, including

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<v Speaker 3>the story that you guys have put out investors. Obviously

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<v Speaker 3>focusing on jobs. We did get the outplacement firm report,

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<v Speaker 3>Challenger Gray and Christmas their report talking about employers in

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<v Speaker 3>February announcing plans to reduce headcount at the fastest pay

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<v Speaker 3>since early in the pandemic, led by cuts in the

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<v Speaker 3>government sector as the Trump administration moved to shrink the

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<v Speaker 3>federal workforce. How bad is that? How does that tell

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<v Speaker 3>us about what's to come?

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<v Speaker 7>Unfortunately, we have a jobs report coming out Friday that

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<v Speaker 7>will not necessarily reflect the impact of the DOGE cuts.

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<v Speaker 7>The survey period for the jobs report coming out Friday

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<v Speaker 7>was a second week in February, kind of afford the

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<v Speaker 7>you know, the cuts really began. But it's gonna expected

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<v Speaker 7>to show sort of the first indications of, you know,

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<v Speaker 7>the the impact of these federal firings. And it's it's

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<v Speaker 7>not just the federal employees who are being let go,

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<v Speaker 7>but it's the contractors and folks who work for entities

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<v Speaker 7>that do business with the government who are getting terminated

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<v Speaker 7>as well as a result of the broader cost cutting

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<v Speaker 7>and reductions that the DOGE and the Trump administration is making.

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<v Speaker 7>So we expect to see in the upcoming job reports

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<v Speaker 7>for March and April, you know, some more soificant impact

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<v Speaker 7>of these cuts. But I think you're already starting to see,

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<v Speaker 7>like you's mentioned in the Challenger report, you know, the

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<v Speaker 7>sort of the knock on effects of the streamlining that's

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<v Speaker 7>happening right now at the federal government, you know, with

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<v Speaker 7>these contractors and other folks who are being affected.

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<v Speaker 4>Does it have a real possibility, because the federal government

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<v Speaker 4>is such a big employer in the United States, to

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<v Speaker 4>have a significant effect on the unemployment rate in the US?

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<v Speaker 7>It can? I mean, it's it's it's projected that the

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<v Speaker 7>total impact on the private sector job market could be

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<v Speaker 7>ash as a half a million if you add all

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<v Speaker 7>the direct and indirect reductions. It won't move the needle tremendously,

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<v Speaker 7>but it would certainly have an impact on, you know,

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<v Speaker 7>the unemployment rate going forward.

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<v Speaker 3>So to the story that you and the team Augustus,

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<v Speaker 3>Sarah and Gerald Dillard had put out, you guys note

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<v Speaker 3>specifically that economists are seriously, you know, looking at all

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<v Speaker 3>of what's happening in the federal government and maybe rethinking

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<v Speaker 3>their forecast for labor market expansion this year. What are

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<v Speaker 3>you hearing either anecdotally or are they putting or starting

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<v Speaker 3>to put some numbers to it.

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<v Speaker 7>Now they're starting to put some numbers to it, you know,

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<v Speaker 7>hit as much as one hundred and twenty five thousand,

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<v Speaker 7>you know, over the course of several months on individual

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<v Speaker 7>job reports. Because of this impact we're seeing of the

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<v Speaker 7>reductions at the federal level, but we're also seeing some

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<v Speaker 7>kind of interesting sort of ancillary effects, and we've put

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<v Speaker 7>it in our story today, states like New York and

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<v Speaker 7>Maryland actively recruiting fire federal workers to join the state

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<v Speaker 7>workforce in a case where they have, you know, an

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<v Speaker 7>opening and their state workforce, particularly for us specialized the expertise,

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<v Speaker 7>you know, like some of these scientists and researchers who

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<v Speaker 7>are losing their jobs at the federal level come find,

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<v Speaker 7>you know, the state workforce and work for the state.

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<v Speaker 7>So there could actually be some opportunities for folks who

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<v Speaker 7>are losing their jobs at the federal level to still

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<v Speaker 7>get a job in their field just at the state level.

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<v Speaker 4>Is there any concern from you or economists that we

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<v Speaker 4>might not get as a good of insight from the

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<v Speaker 4>federal government in terms of the data that they track,

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<v Speaker 4>that that we use, that we look to, that investors

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<v Speaker 4>look to as a result of cuts at the federal level.

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<v Speaker 7>Yeah, and it's hard to even track, you know, the

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<v Speaker 7>impact of the federal firings. You know, for example, you know,

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<v Speaker 7>we look at initial jobless claims to try and see,

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<v Speaker 7>you know, what kind of impact the federal reductions are having.

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<v Speaker 7>And one the unemployment claims are filed under a separate

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<v Speaker 7>program for federal workers, and there's a leg in reporting

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<v Speaker 7>that number, and some of the claims are not reflected, right,

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<v Speaker 7>folks who had put on administrative lead and they have

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<v Speaker 7>not yet filed for unemployment for example. So bottom line,

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<v Speaker 7>I don't think we will see the entire impact of

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<v Speaker 7>the reductions that are happening at the federal level in

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<v Speaker 7>the various jobs reports.

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<v Speaker 3>All right, super important as we go through the numbers,

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<v Speaker 3>and maybe need to be patient to wait to see

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<v Speaker 3>what the ultimate impact will be. Mark Kat, thank you

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<v Speaker 3>so much, Real Economy team, reporter at Bloomberg News there

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<v Speaker 3>in DC.

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<v Speaker 2>You're listening to the Bloomberg Business Week podcast. Catch us

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<v Speaker 3>We're going to get another take on kind of what's

0:11:52.679 --> 0:11:54.679
<v Speaker 3>been going on in the markets with someone who's actually

0:11:54.679 --> 0:11:57.240
<v Speaker 3>been watching the rates US rates market pretty closely.

0:11:57.320 --> 0:11:58.920
<v Speaker 4>Yeah, I want to bring in Thomas Carroll founder and

0:11:58.960 --> 0:12:01.920
<v Speaker 4>CEO at the registered investment advisor at ballast Rock Asset

0:12:02.040 --> 0:12:05.120
<v Speaker 4>Management and invest in multi family real estate properties and

0:12:05.200 --> 0:12:07.760
<v Speaker 4>also in a venture capital. The firm has about two

0:12:07.840 --> 0:12:10.520
<v Speaker 4>hundred and forty million dollars in assets under management. Thomas

0:12:10.600 --> 0:12:13.560
<v Speaker 4>joining us from a Boca Raton, Florida. Thomas, good to

0:12:13.600 --> 0:12:15.360
<v Speaker 4>have you here. Look, I just want to start on

0:12:15.480 --> 0:12:20.360
<v Speaker 4>daylight today, where you see the markets really volidile, Grateful

0:12:20.360 --> 0:12:23.560
<v Speaker 4>to be in a an asset class that doesn't buy

0:12:23.600 --> 0:12:25.560
<v Speaker 4>and sell at the whim or click of a button.

0:12:26.960 --> 0:12:30.800
<v Speaker 8>Absolutely, and in fact it's fascinating. Over the last two months,

0:12:30.840 --> 0:12:34.680
<v Speaker 8>we've seen a real uptick in investor demand for our

0:12:34.800 --> 0:12:38.480
<v Speaker 8>asset class for interest in investing simply, I think a

0:12:38.559 --> 0:12:42.840
<v Speaker 8>large part because they are nervous about the forward for

0:12:43.040 --> 0:12:45.960
<v Speaker 8>equities and for public markets, and they don't want to

0:12:46.000 --> 0:12:48.800
<v Speaker 8>be in an asset class that gy rates as much

0:12:49.080 --> 0:12:52.840
<v Speaker 8>as we've seen in equities. So after twenty twenty four,

0:12:52.880 --> 0:12:58.560
<v Speaker 8>which frankly was a ballmarket year in general, we on

0:12:58.600 --> 0:13:02.160
<v Speaker 8>the private markets invest side found it quite challenging to

0:13:02.240 --> 0:13:05.680
<v Speaker 8>raise capital in twenty four. However, twenty five has started

0:13:05.760 --> 0:13:08.680
<v Speaker 8>totally differently, and I think it is driven by people

0:13:08.679 --> 0:13:12.640
<v Speaker 8>seeing significant volatility if their public markets is social.

0:13:12.679 --> 0:13:14.560
<v Speaker 4>So essentially what they're saying is, we don't want to

0:13:14.559 --> 0:13:17.440
<v Speaker 4>be in public markets because it's too volatile. We'll pull

0:13:17.480 --> 0:13:20.400
<v Speaker 4>the money from public equities and instead we'll invest it

0:13:20.440 --> 0:13:22.720
<v Speaker 4>in alternatives. And one of those alternatives is with you.

0:13:22.880 --> 0:13:24.240
<v Speaker 3>And can I just say that that's what we heard

0:13:24.240 --> 0:13:27.000
<v Speaker 3>from Raj Danda of Arias Wealth.

0:13:26.760 --> 0:13:28.720
<v Speaker 6>Management, who was a huge some privates.

0:13:28.800 --> 0:13:29.600
<v Speaker 2>Yeah, so that the.

0:13:29.640 --> 0:13:31.760
<v Speaker 3>Volatility of the public markets is freaking people out. But

0:13:31.800 --> 0:13:32.480
<v Speaker 3>forgive me go ahead.

0:13:32.600 --> 0:13:33.440
<v Speaker 6>Is that what it is? Thomas?

0:13:34.360 --> 0:13:37.840
<v Speaker 8>Absolutely, And it's not necessarily as directors pull out and

0:13:37.880 --> 0:13:40.920
<v Speaker 8>put in, because of course placing capital into private markets

0:13:41.040 --> 0:13:49.000
<v Speaker 8>is a slower, more stable process. But certainly reallocation proportionally

0:13:49.040 --> 0:13:52.760
<v Speaker 8>adjusting portfolios. We believe that we are seeing that, and

0:13:52.800 --> 0:13:55.680
<v Speaker 8>we're certainly seeing it here at the coal face raising

0:13:55.720 --> 0:13:59.360
<v Speaker 8>capital or private market deals with pross venture capital and

0:13:59.480 --> 0:14:00.000
<v Speaker 8>real estate.

0:14:00.360 --> 0:14:03.880
<v Speaker 3>So, Thomas, you know, we live on these headlines that

0:14:03.920 --> 0:14:06.160
<v Speaker 3>are coming out of DC, and rightfully so, because they

0:14:06.200 --> 0:14:08.400
<v Speaker 3>do move the financial markets, some of them do, not

0:14:08.480 --> 0:14:12.680
<v Speaker 3>all of them do. How do you take in US

0:14:12.720 --> 0:14:15.880
<v Speaker 3>policy out of the White House, How does that ultimately

0:14:16.440 --> 0:14:20.240
<v Speaker 3>impact your world? Rates are important. If rates go up,

0:14:20.240 --> 0:14:22.480
<v Speaker 3>that's going to be more problematic. I would assume if

0:14:22.560 --> 0:14:24.760
<v Speaker 3>rates go down that could be better as long as

0:14:24.760 --> 0:14:28.800
<v Speaker 3>we're not maybe in a recession. But tell us how

0:14:28.840 --> 0:14:29.360
<v Speaker 3>you see it.

0:14:30.360 --> 0:14:33.080
<v Speaker 8>Well, we certainly have to manage to a long term view.

0:14:33.120 --> 0:14:35.720
<v Speaker 8>We cannot be driven by short term decisions in the

0:14:35.760 --> 0:14:38.440
<v Speaker 8>same way that a hedge fund trader or market maker

0:14:39.120 --> 0:14:42.120
<v Speaker 8>can be in public markets. So we view our job

0:14:42.200 --> 0:14:46.200
<v Speaker 8>more like i'd say, driving an oil tanker and having

0:14:46.240 --> 0:14:48.680
<v Speaker 8>to make decisions two miles out if we want to

0:14:48.720 --> 0:14:52.440
<v Speaker 8>turn course in the way that we build portfolios and

0:14:52.560 --> 0:14:56.880
<v Speaker 8>execute acquisitions and dispositions and value add strategies. So we're

0:14:56.920 --> 0:15:00.560
<v Speaker 8>certainly taking a long view. These short term decisions, though,

0:15:01.080 --> 0:15:05.840
<v Speaker 8>and their driver on interest rates do impact us, both

0:15:05.920 --> 0:15:09.680
<v Speaker 8>for the positive and for the negative. The positive in

0:15:09.720 --> 0:15:14.080
<v Speaker 8>that actually rate volatility and in particular what we perceive

0:15:14.120 --> 0:15:20.560
<v Speaker 8>as a likely rates higher for longer as inflationary pressures

0:15:20.600 --> 0:15:24.480
<v Speaker 8>like tariffs and DEGO globalization and near shoring, those are

0:15:24.520 --> 0:15:30.080
<v Speaker 8>all inflationary pressures that will that will really require the

0:15:30.120 --> 0:15:36.160
<v Speaker 8>FED to keep rates higher for longer. That pressure a

0:15:36.200 --> 0:15:38.120
<v Speaker 8>lot of sponsors out there, a lot of real estate

0:15:38.160 --> 0:15:40.880
<v Speaker 8>owners out there who acquired assets at the peak in

0:15:40.920 --> 0:15:43.640
<v Speaker 8>twenty twenty or twenty twenty one and even twenty twenty

0:15:43.640 --> 0:15:49.680
<v Speaker 8>two have been clinging on for dear life, waiting for

0:15:49.840 --> 0:15:53.800
<v Speaker 8>rates to drop, and especially those that are acquired assets

0:15:53.840 --> 0:15:57.680
<v Speaker 8>at the peak using floating rate short term bridge financing,

0:15:58.440 --> 0:16:01.200
<v Speaker 8>have been desperately waiting for that drop, and if it's

0:16:01.240 --> 0:16:04.720
<v Speaker 8>not going to come, they will have to concede and

0:16:05.240 --> 0:16:08.200
<v Speaker 8>likely take a loss, but that will certainly get the

0:16:08.240 --> 0:16:11.560
<v Speaker 8>acquisition market started again, a market that's stalled through twenty

0:16:11.600 --> 0:16:15.600
<v Speaker 8>twenty three and four. So that opportunity for those of

0:16:15.640 --> 0:16:18.920
<v Speaker 8>us that are well capitalized is really exciting. We see

0:16:18.920 --> 0:16:22.160
<v Speaker 8>the next two years with a lot of sellers just

0:16:22.240 --> 0:16:26.040
<v Speaker 8>conceding and capitulating. We see that as a great opportunity

0:16:26.040 --> 0:16:28.120
<v Speaker 8>to acquire if you're well capitalized.

0:16:28.480 --> 0:16:30.120
<v Speaker 3>All right, we're going to leave it on that note, Thomas,

0:16:30.240 --> 0:16:32.640
<v Speaker 3>So good that we could get to you on this

0:16:32.720 --> 0:16:34.200
<v Speaker 3>day when there's a lot going on in the markets

0:16:34.240 --> 0:16:37.360
<v Speaker 3>and get your perspective an important one. Thomas Carrol, founder

0:16:37.360 --> 0:16:41.080
<v Speaker 3>and CEO at the registered investment advisor ballast Rock Asset Management.

0:16:41.280 --> 0:16:43.080
<v Speaker 3>They've got about two hundred and forty million dollars in

0:16:43.120 --> 0:16:46.680
<v Speaker 3>asseids under management, joining us there from Florida.

0:16:47.240 --> 0:16:51.000
<v Speaker 2>This is the Bloomberg Business Week Podcast. Listen live each

0:16:51.040 --> 0:16:54.000
<v Speaker 2>weekday starting a two pm Eastern on Apple car Play

0:16:54.120 --> 0:16:56.760
<v Speaker 2>and the Android Auto with the Bloomberg Business App. You

0:16:56.800 --> 0:17:00.000
<v Speaker 2>can also listen live on Amazon Alexa from our flagship

0:17:00.080 --> 0:17:03.800
<v Speaker 2>New York station Just Say Alexa played Bloomberg eleven thirty.

0:17:04.840 --> 0:17:07.360
<v Speaker 4>Well, let's talk about Alibaba. As we noted, they introduced

0:17:07.400 --> 0:17:10.080
<v Speaker 4>its Quinn platform. It's a model that it claims performs

0:17:10.080 --> 0:17:12.760
<v Speaker 4>as well as Chinese startup Deep Sequel with a fraction

0:17:13.000 --> 0:17:16.080
<v Speaker 4>of the data, with US as Bear Technology Strategies. Ted

0:17:16.200 --> 0:17:19.159
<v Speaker 4>Mortenson with US from Tampa, Florida. Ted, I think this

0:17:19.280 --> 0:17:21.360
<v Speaker 4>coming as a surprise to people, especially just a few

0:17:21.359 --> 0:17:23.639
<v Speaker 4>weeks after we got the Deep Seek news.

0:17:23.880 --> 0:17:25.520
<v Speaker 6>What do we need to know about this announcement from

0:17:25.560 --> 0:17:27.480
<v Speaker 6>Ali Baba.

0:17:27.600 --> 0:17:31.040
<v Speaker 9>Well, there's two things. Number One, I would consider this

0:17:31.160 --> 0:17:35.480
<v Speaker 9>almost as a war between the US and China for

0:17:35.960 --> 0:17:40.480
<v Speaker 9>Jenai leadership. This is a major advance, and I think

0:17:40.560 --> 0:17:44.920
<v Speaker 9>if you look at Ali Baba's last report when they

0:17:44.960 --> 0:17:49.080
<v Speaker 9>focused on their Cloud Intelligence group, they let the street

0:17:49.200 --> 0:17:51.840
<v Speaker 9>know for the first time that they're going to spend

0:17:51.920 --> 0:17:55.880
<v Speaker 9>roughly fifty three billion over three years that's more than

0:17:55.880 --> 0:18:00.240
<v Speaker 9>that they spent in the last decade. They also indicated

0:18:00.320 --> 0:18:03.280
<v Speaker 9>that when they get to what's called AGI, and that's

0:18:03.320 --> 0:18:08.600
<v Speaker 9>eighty percent of kind of human capability, the States are

0:18:08.720 --> 0:18:12.440
<v Speaker 9>very very high. You're talking about fifty percent of GDP.

0:18:13.640 --> 0:18:18.679
<v Speaker 9>So this is going full bore between two nations that

0:18:19.280 --> 0:18:23.000
<v Speaker 9>can afford not to be in a lagging stance, and

0:18:23.080 --> 0:18:26.080
<v Speaker 9>I would not be surprised if President Trump makes some

0:18:26.200 --> 0:18:28.200
<v Speaker 9>moves in this area over the coming weeks.

0:18:28.280 --> 0:18:31.440
<v Speaker 3>When you say AGI, you mean artificial general intelligence, which, yeah,

0:18:31.480 --> 0:18:34.560
<v Speaker 3>I googled it. You're talking about basically, when you've got

0:18:34.640 --> 0:18:37.959
<v Speaker 3>a machine that can do anything that Tim and I

0:18:38.000 --> 0:18:39.040
<v Speaker 3>can do a human can do.

0:18:39.119 --> 0:18:41.280
<v Speaker 4>Correct you trust that because that's Gemini showing you that

0:18:41.359 --> 0:18:42.960
<v Speaker 4>search result. I can tell you that I'm looking at

0:18:43.000 --> 0:18:43.399
<v Speaker 4>your screen.

0:18:43.480 --> 0:18:45.000
<v Speaker 3>But that's what you're talking about, right.

0:18:45.800 --> 0:18:48.560
<v Speaker 9>That's That's exactly what I'm talking about. We're a couple

0:18:48.600 --> 0:18:51.360
<v Speaker 9>of years off from that, but we're going to get there.

0:18:51.560 --> 0:18:55.520
<v Speaker 9>And the implications on how this is going to change

0:18:55.640 --> 0:19:01.240
<v Speaker 9>every industry and how we look at you know, SMP

0:19:01.440 --> 0:19:05.240
<v Speaker 9>earnings and GDP, you have to have a very open

0:19:05.320 --> 0:19:07.920
<v Speaker 9>mind because it is changing extremely rapidly.

0:19:08.560 --> 0:19:09.240
<v Speaker 6>How rapidly.

0:19:09.280 --> 0:19:12.880
<v Speaker 4>I spoke to Bin Ran of Sigtec earlier this week

0:19:12.920 --> 0:19:16.160
<v Speaker 4>at Bloomberg invest He's the founder and CEO of this

0:19:16.440 --> 0:19:19.040
<v Speaker 4>firm that spun off of Brevin Howard back in twenty nineteen,

0:19:19.040 --> 0:19:23.560
<v Speaker 4>and they've created these agents to essentially do the job

0:19:23.600 --> 0:19:25.280
<v Speaker 4>of analysts and quants on Wall Street.

0:19:25.320 --> 0:19:26.399
<v Speaker 6>It's pretty remarkable stuff.

0:19:26.440 --> 0:19:28.840
<v Speaker 4>He gave us a demonstration, But he said, by the

0:19:28.920 --> 0:19:32.080
<v Speaker 4>end of this year, half of the workforce is going

0:19:32.119 --> 0:19:34.360
<v Speaker 4>to be made up of AI agents. Is that too

0:19:34.359 --> 0:19:35.840
<v Speaker 4>bold a proclamation.

0:19:36.520 --> 0:19:39.160
<v Speaker 9>That maybe a little bit aggressive? I mean, Mango dB

0:19:39.359 --> 0:19:43.560
<v Speaker 9>last night basically said for them, and they're they're kind

0:19:43.600 --> 0:19:47.720
<v Speaker 9>of the database layer for JENNYI applications. Whether it be

0:19:47.800 --> 0:19:50.040
<v Speaker 9>right or wrong. They said fiscal twenty six was going

0:19:50.119 --> 0:19:55.000
<v Speaker 9>to be a transition year, So there's different opinions it's

0:19:55.040 --> 0:19:58.920
<v Speaker 9>going to happen to degree of how quick it happens,

0:19:59.040 --> 0:20:03.440
<v Speaker 9>is how the next generation jenn Ai Silkan stacks mature

0:20:03.840 --> 0:20:07.680
<v Speaker 9>number one and number two. We have some major major

0:20:08.560 --> 0:20:14.480
<v Speaker 9>Silkin advances happening going forward into next year with Navidia's

0:20:14.520 --> 0:20:19.600
<v Speaker 9>release of Reuben, for example. This is a technology innovation

0:20:19.720 --> 0:20:22.159
<v Speaker 9>we've really never seen, at least I haven't seen in

0:20:22.320 --> 0:20:23.479
<v Speaker 9>thirty years of doing this.

0:20:24.240 --> 0:20:27.000
<v Speaker 3>So what's the role of Nvidia at this point? I mean,

0:20:27.040 --> 0:20:29.480
<v Speaker 3>they're down about sixteen percent seventeen percent this year. We

0:20:29.520 --> 0:20:31.840
<v Speaker 3>know that they've really taken a hit, you know, following

0:20:31.840 --> 0:20:34.440
<v Speaker 3>the deep seak news that we got back in January.

0:20:34.520 --> 0:20:37.280
<v Speaker 3>But I mean, is it silly for investors to count

0:20:37.359 --> 0:20:40.119
<v Speaker 3>Nvidia out? I mean, how are you thinking about the

0:20:40.200 --> 0:20:43.520
<v Speaker 3>companies that investors should be watching when it comes to

0:20:43.560 --> 0:20:44.560
<v Speaker 3>the AI trade.

0:20:46.160 --> 0:20:49.719
<v Speaker 9>So the chart doesn't look great, and that's just feeding

0:20:49.760 --> 0:20:52.359
<v Speaker 9>on itself. But if you look at the if you

0:20:52.400 --> 0:20:56.720
<v Speaker 9>look at what Jensen's doing, the man's brilliant. He's he's

0:20:56.800 --> 0:20:59.840
<v Speaker 9>one of I would say the greatest tech innovators of

0:20:59.840 --> 0:21:05.280
<v Speaker 9>our time. He invested billions of dollars into this area

0:21:05.440 --> 0:21:09.679
<v Speaker 9>before it even became a market. So Navidia has a

0:21:09.760 --> 0:21:12.320
<v Speaker 9>four to five year lead. I think where the street

0:21:12.840 --> 0:21:20.399
<v Speaker 9>really misses it is Navidia's dominance in that software stack area.

0:21:20.920 --> 0:21:24.359
<v Speaker 9>On Jenny I they are light years ahead of people,

0:21:25.000 --> 0:21:28.959
<v Speaker 9>and it could be conceivable that Navidia could be one

0:21:29.000 --> 0:21:33.280
<v Speaker 9>of the largest software companies of the next tech cycle

0:21:33.840 --> 0:21:38.760
<v Speaker 9>as we get additional infrastructure rolled out. So you cannot

0:21:38.800 --> 0:21:43.600
<v Speaker 9>count this company out. They're holding a lot of the cards,

0:21:43.640 --> 0:21:49.360
<v Speaker 9>both on training and inference, and they have a very

0:21:49.359 --> 0:21:53.720
<v Speaker 9>good field where the market's going. So it's more buying

0:21:53.760 --> 0:21:54.480
<v Speaker 9>from the fearful.

0:21:54.520 --> 0:21:54.720
<v Speaker 7>Here.

0:21:54.840 --> 0:21:58.120
<v Speaker 3>Hey, Ted, just got about forty fifty seconds here. So

0:21:58.160 --> 0:22:01.040
<v Speaker 3>Ali Baba, how does the news today make you now

0:22:01.119 --> 0:22:04.679
<v Speaker 3>think about this company which is known for its electronic commerce,

0:22:05.040 --> 0:22:09.479
<v Speaker 3>you know, e commerce, retail, financial online. How does this

0:22:09.600 --> 0:22:11.800
<v Speaker 3>news that maybe make you rethink a little bit about

0:22:11.840 --> 0:22:12.439
<v Speaker 3>Ali Baba?

0:22:12.440 --> 0:22:15.879
<v Speaker 9>And just quickly, you know, it really doesn't because if

0:22:15.920 --> 0:22:19.320
<v Speaker 9>you look at the innovations and Jenny, I look what

0:22:19.400 --> 0:22:25.000
<v Speaker 9>AWS is doing, or a zore or GPC, they're at

0:22:25.040 --> 0:22:28.159
<v Speaker 9>the same plane of tech innovation. It's just going to

0:22:28.240 --> 0:22:31.000
<v Speaker 9>be a matter of who gets there the quickest and

0:22:31.000 --> 0:22:35.720
<v Speaker 9>who has as as much as free cash flow to

0:22:35.800 --> 0:22:38.960
<v Speaker 9>get there the quickest. You know, it's it's gonna be

0:22:39.000 --> 0:22:41.719
<v Speaker 9>a battle. But I don't think it really changes the

0:22:41.880 --> 0:22:42.640
<v Speaker 9>thought process.

0:22:42.680 --> 0:22:44.720
<v Speaker 3>All right, So happy we could spend some time with you,

0:22:44.800 --> 0:22:47.600
<v Speaker 3>Ted Mortensen, Bear Technology Alice joining us.

0:22:48.640 --> 0:22:52.320
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:22:52.400 --> 0:22:55.399
<v Speaker 1>live weekday afternoons from two to five y's during listen

0:22:55.480 --> 0:22:59.040
<v Speaker 1>on Apple Karplay and Android Otto with the Bloomberg Business Up,

0:22:59.200 --> 0:23:01.920
<v Speaker 1>or watch us live live on YouTube.

0:23:02.119 --> 0:23:04.879
<v Speaker 4>Well, Harvard Law School has a long history of catapulting

0:23:05.080 --> 0:23:09.359
<v Speaker 4>black students into the American elite. Barack Obama, Ken Channall

0:23:09.440 --> 0:23:12.880
<v Speaker 4>the Vammex, Ken Frasier of merk Ray MacGuire of Lazard.

0:23:13.400 --> 0:23:16.600
<v Speaker 4>A generation before them, Conrad Harper became the first black

0:23:16.600 --> 0:23:19.679
<v Speaker 4>partner at Wall Street law firm Simpson, Thatcher and Bartlett.

0:23:20.080 --> 0:23:23.840
<v Speaker 4>Decades later, as President, Obama would appoint Katanji Brown Jackson's

0:23:23.840 --> 0:23:26.480
<v Speaker 4>a federal judge on her way to becoming the first

0:23:26.520 --> 0:23:30.040
<v Speaker 4>black woman to join the US Supreme Court. Now, Harvard

0:23:30.119 --> 0:23:33.120
<v Speaker 4>Laws status as a training ground for potential black stars

0:23:33.160 --> 0:23:36.000
<v Speaker 4>in the worlds of business, politics, and culture could be

0:23:36.080 --> 0:23:38.440
<v Speaker 4>under threat after the Supreme Court banned the use of

0:23:38.520 --> 0:23:42.520
<v Speaker 4>race and admissions across the college system, so writes Janet

0:23:42.560 --> 0:23:44.680
<v Speaker 4>Lauren in a Big Take this week. She's Bloomberg News

0:23:44.760 --> 0:23:47.480
<v Speaker 4>Higher Education Finance reporter. She joins us here in the

0:23:47.520 --> 0:23:51.240
<v Speaker 4>Bloomberg Interactive Brokers studio. Also joining us an alumna of

0:23:51.240 --> 0:23:54.480
<v Speaker 4>Harvard Law School, Deborah Lee, the former CEO of Black

0:23:54.600 --> 0:23:57.960
<v Speaker 4>Entertainment Television Networks, also a board member at Marriott Procter

0:23:58.040 --> 0:24:00.320
<v Speaker 4>and Gamble and Warner Brothers Discovery.

0:24:00.359 --> 0:24:02.400
<v Speaker 6>Thanks so much to both of you for joining us.

0:24:02.760 --> 0:24:04.000
<v Speaker 10>Thanks for having it having me.

0:24:04.000 --> 0:24:05.719
<v Speaker 4>Hey, Jane, I do want to start with you, because

0:24:06.040 --> 0:24:09.199
<v Speaker 4>just start with the numbers, the data you're reporting. What

0:24:09.240 --> 0:24:11.320
<v Speaker 4>did it tell you about black students and how they're

0:24:11.320 --> 0:24:12.600
<v Speaker 4>doing at Harvard Law today.

0:24:13.200 --> 0:24:16.040
<v Speaker 10>So this year the number of first year law students

0:24:16.400 --> 0:24:20.680
<v Speaker 10>called one l's is nineteen, a year after the Supreme

0:24:20.720 --> 0:24:24.520
<v Speaker 10>Court decision, and previously the year before it was forty three.

0:24:24.760 --> 0:24:25.119
<v Speaker 6>Wow.

0:24:25.720 --> 0:24:28.760
<v Speaker 10>So it was a big, sharp decline in the first

0:24:28.840 --> 0:24:31.760
<v Speaker 10>year that students could apply after the Supreme Court declared

0:24:31.800 --> 0:24:34.560
<v Speaker 10>that race was no longer a factor in admissions.

0:24:34.880 --> 0:24:36.960
<v Speaker 6>How big? How big are the would a class be?

0:24:37.240 --> 0:24:40.119
<v Speaker 10>Just for context, Harvard's is quite large. It's five hundred

0:24:40.160 --> 0:24:42.960
<v Speaker 10>and sixty students in compared to some of its peers

0:24:43.000 --> 0:24:46.560
<v Speaker 10>like Stanford and Yale are roughly about two hundred, so

0:24:46.640 --> 0:24:49.679
<v Speaker 10>it's more than double the size. In fact, this year, Yale,

0:24:49.880 --> 0:24:53.600
<v Speaker 10>with about two hundred students, had more black students first

0:24:53.680 --> 0:24:55.200
<v Speaker 10>year students than Harvard did at all.

0:24:55.840 --> 0:24:58.119
<v Speaker 3>So to be fair, what does Harvard say about that drop?

0:24:58.960 --> 0:25:03.040
<v Speaker 10>Well, Harvard was a named litigation litigant in the case.

0:25:03.920 --> 0:25:07.040
<v Speaker 10>So they're saying, you know, it could be one year.

0:25:07.160 --> 0:25:09.200
<v Speaker 10>It's you know, it's just one year of data. They

0:25:09.240 --> 0:25:12.359
<v Speaker 10>continue to want a diverse class, but they're sort of

0:25:12.400 --> 0:25:15.199
<v Speaker 10>hamstrung in what they can say given what's going on

0:25:15.320 --> 0:25:18.800
<v Speaker 10>in the country right now. And I say, one thing

0:25:18.840 --> 0:25:21.200
<v Speaker 10>that was a very bright spot about reporting the story

0:25:21.359 --> 0:25:24.120
<v Speaker 10>was meeting with the current students and what they're doing

0:25:24.160 --> 0:25:28.679
<v Speaker 10>to try to recruit and and make students comfortable with

0:25:28.720 --> 0:25:29.760
<v Speaker 10>the application process.

0:25:29.800 --> 0:25:30.840
<v Speaker 3>Well, let's talk about that in a moment.

0:25:30.880 --> 0:25:31.200
<v Speaker 9>Definitely.

0:25:31.240 --> 0:25:32.800
<v Speaker 3>I want to bring you to the conversation. You're an

0:25:32.800 --> 0:25:35.400
<v Speaker 3>alum of the Harvard Law School, former CEO of Black

0:25:35.520 --> 0:25:39.000
<v Speaker 3>Entertainment Television Networks. What do you think about that drop?

0:25:40.000 --> 0:25:43.119
<v Speaker 11>I was very upset when I heard about the drop

0:25:43.119 --> 0:25:45.679
<v Speaker 11>in numbers. I was at Harvard Law School and the

0:25:45.720 --> 0:25:48.080
<v Speaker 11>Kennedy School. I did a joint degree program, so I

0:25:48.119 --> 0:25:50.440
<v Speaker 11>was in a four year program. I was there from

0:25:50.520 --> 0:25:54.840
<v Speaker 11>seventy six to nineteen eighty. Every year I was there

0:25:55.400 --> 0:26:00.160
<v Speaker 11>at Harvard Law School, they admitted with the entering class,

0:26:00.200 --> 0:26:03.680
<v Speaker 11>as Janet said, of about five hundred students, would include

0:26:04.040 --> 0:26:08.800
<v Speaker 11>fifty black people, right, that was the number they kind

0:26:08.800 --> 0:26:11.920
<v Speaker 11>of aimed for. I've found out since then that sometimes

0:26:11.920 --> 0:26:15.719
<v Speaker 11>it was higher, sometimes it was lower, but fifty was

0:26:15.920 --> 0:26:19.040
<v Speaker 11>kind of the end all. And it was as a

0:26:19.040 --> 0:26:23.000
<v Speaker 11>result of something called the Harvard Plan, which was implemented

0:26:23.080 --> 0:26:27.520
<v Speaker 11>years ago, where people came together and said they wanted

0:26:27.600 --> 0:26:30.680
<v Speaker 11>Harvard to Law to be one of the best training

0:26:30.800 --> 0:26:34.560
<v Speaker 11>grounds for black law students and black lawyers, and they

0:26:34.600 --> 0:26:38.080
<v Speaker 11>implemented this plan. There was a dean who focus on this.

0:26:38.560 --> 0:26:42.320
<v Speaker 11>So everything worked out until this year. And you know,

0:26:42.400 --> 0:26:47.000
<v Speaker 11>we know what the Supreme Court said, but they also said,

0:26:47.560 --> 0:26:51.600
<v Speaker 11>you know, students could talk about race in their applications.

0:26:51.640 --> 0:26:54.800
<v Speaker 11>They can consider all kinds of other factors. So I

0:26:54.880 --> 0:26:57.000
<v Speaker 11>have to say I blame Harvard Law School for this

0:26:57.119 --> 0:26:59.959
<v Speaker 11>drop because a lot of other law schools didn't have

0:27:00.119 --> 0:27:00.679
<v Speaker 11>up the drop.

0:27:01.200 --> 0:27:05.080
<v Speaker 3>And they ultimately decide to be fair, right, They ultimately

0:27:05.119 --> 0:27:06.320
<v Speaker 3>decide who comes in who doesn't.

0:27:06.440 --> 0:27:06.640
<v Speaker 7>Yes.

0:27:06.920 --> 0:27:08.720
<v Speaker 11>And when I was at Harvard, there was a case

0:27:08.760 --> 0:27:12.320
<v Speaker 11>called back Baki, which was the first reverse discrimination case,

0:27:12.520 --> 0:27:15.919
<v Speaker 11>and as black law students, some of them wrote an

0:27:15.920 --> 0:27:18.760
<v Speaker 11>a meekas breed for the Supreme Court, and as part

0:27:18.800 --> 0:27:22.240
<v Speaker 11>of that, the admissions director from Harvard College came over

0:27:22.640 --> 0:27:25.920
<v Speaker 11>to talk to us one day and She said, only

0:27:26.000 --> 0:27:29.240
<v Speaker 11>one fourth of the students at Harvard College get in

0:27:29.280 --> 0:27:33.000
<v Speaker 11>on the numbers, one fourth get in on diversity, one

0:27:33.160 --> 0:27:36.760
<v Speaker 11>fourth get in on legacy, and the other fourth one

0:27:36.840 --> 0:27:41.640
<v Speaker 11>fourth get in on whether you're an oboe player from Utah,

0:27:41.800 --> 0:27:45.359
<v Speaker 11>you know, some distinguishing factor. So she made it very clear.

0:27:45.359 --> 0:27:47.879
<v Speaker 11>And I haven't forgotten this in fifty years whenever I

0:27:47.920 --> 0:27:48.600
<v Speaker 11>finished Harvard.

0:27:49.200 --> 0:27:51.720
<v Speaker 6>That's a formula. There is a form where there was

0:27:51.760 --> 0:27:52.200
<v Speaker 6>a formula.

0:27:52.280 --> 0:27:53.520
<v Speaker 9>There was a formula.

0:27:53.600 --> 0:27:56.719
<v Speaker 11>And you know, people say, oh, diversity, you know, screws

0:27:56.800 --> 0:28:01.440
<v Speaker 11>up everything. There are all these otherqualifications that can get

0:28:01.480 --> 0:28:05.000
<v Speaker 11>you into Harvard College. So I don't know how they

0:28:05.040 --> 0:28:07.320
<v Speaker 11>did it at the law school. But let me just

0:28:07.320 --> 0:28:10.439
<v Speaker 11>say this. The thing that bathers me the most about

0:28:10.440 --> 0:28:15.840
<v Speaker 11>the drop is because nineteen students black students were admitted

0:28:15.880 --> 0:28:20.199
<v Speaker 11>this year. Does that say to everyone above nineteen that

0:28:20.760 --> 0:28:23.400
<v Speaker 11>if brace wasn't taken into account, you wouldn't have got

0:28:23.440 --> 0:28:26.800
<v Speaker 11>into Harvard Law School those fifty students that were admitted.

0:28:27.119 --> 0:28:30.840
<v Speaker 11>And I hate that anyone would think that, because, first

0:28:30.840 --> 0:28:33.640
<v Speaker 11>of all, everyone admitted to Harvard Law School is qualified.

0:28:33.760 --> 0:28:35.840
<v Speaker 11>It's not you know, we're just going to pick some

0:28:35.960 --> 0:28:39.480
<v Speaker 11>random students and you have to perform, and you have

0:28:39.560 --> 0:28:42.960
<v Speaker 11>to graduate. And as you said, there's so many amazing

0:28:43.480 --> 0:28:48.520
<v Speaker 11>Harvard graduates. Everyone that you mentioned I know except Conrad Harper,

0:28:48.920 --> 0:28:51.600
<v Speaker 11>and I know them in part because I went to

0:28:51.640 --> 0:28:55.080
<v Speaker 11>Harvard Law School, so there's such a great network.

0:28:55.320 --> 0:28:56.760
<v Speaker 6>Some of them were there with me.

0:28:57.160 --> 0:28:59.239
<v Speaker 11>But when you meet someone and they tell you they

0:28:59.240 --> 0:29:00.960
<v Speaker 11>went to Harvard lawsie were, You're like, oh, yeah, so

0:29:01.080 --> 0:29:01.400
<v Speaker 11>did that?

0:29:01.520 --> 0:29:01.640
<v Speaker 10>Well?

0:29:01.680 --> 0:29:03.360
<v Speaker 4>I did mention Barack Obama. I won't to ask you

0:29:03.360 --> 0:29:05.560
<v Speaker 4>what he thinks about what's going on in Washington, because

0:29:05.880 --> 0:29:07.480
<v Speaker 4>you know we won't call on him right now, but

0:29:07.520 --> 0:29:12.240
<v Speaker 4>I do want to know. You are featured in Janet's

0:29:12.280 --> 0:29:16.680
<v Speaker 4>piece as working to make sure the numbers don't fall right.

0:29:16.920 --> 0:29:18.640
<v Speaker 6>So what are you doing well.

0:29:18.720 --> 0:29:21.640
<v Speaker 11>I was part of a call of black alums from

0:29:21.720 --> 0:29:25.640
<v Speaker 11>Harvard Law School before Christmas, and we talked a lot

0:29:25.680 --> 0:29:28.640
<v Speaker 11>about what can we do, and so the decision was

0:29:28.680 --> 0:29:32.080
<v Speaker 11>made to write a group letter to the dean, and

0:29:32.480 --> 0:29:35.360
<v Speaker 11>that letter was delivered and the Dean of LA Harvard

0:29:35.440 --> 0:29:38.560
<v Speaker 11>Law has agreed to meet with a group of alums.

0:29:38.960 --> 0:29:41.360
<v Speaker 11>So you know, the first thing we have to talk

0:29:41.400 --> 0:29:44.320
<v Speaker 11>about is what happened. You know, I'm not saying this

0:29:44.480 --> 0:29:47.680
<v Speaker 11>was done intentionally. I think it was just, you know,

0:29:48.040 --> 0:29:51.680
<v Speaker 11>the circumstances change and people weren't ready for it. And

0:29:51.720 --> 0:29:55.360
<v Speaker 11>as Janet said, the law students are getting more involved.

0:29:55.400 --> 0:29:59.400
<v Speaker 11>There was the head of the Law Students was on

0:29:59.440 --> 0:30:02.960
<v Speaker 11>the call with Thus and you know he's very active.

0:30:03.240 --> 0:30:05.400
<v Speaker 11>And I went up to Harvard Law last week to

0:30:05.480 --> 0:30:10.360
<v Speaker 11>speak and tell students to keep the faith and work hard,

0:30:10.760 --> 0:30:12.600
<v Speaker 11>and we can't let this happen again.

0:30:12.800 --> 0:30:14.400
<v Speaker 4>Jenna, what would you say to somebody who hears the

0:30:14.440 --> 0:30:17.200
<v Speaker 4>nineteen figure as a drop from last year and says, well, wait,

0:30:17.200 --> 0:30:19.640
<v Speaker 4>a second one year does not a trend make maybe

0:30:19.640 --> 0:30:20.440
<v Speaker 4>this is an anomaly.

0:30:20.920 --> 0:30:24.040
<v Speaker 10>Well, I actually did speak to an admitted student who

0:30:24.080 --> 0:30:26.720
<v Speaker 10>also is considering Stanford and Chicago and Duke and other

0:30:26.760 --> 0:30:29.880
<v Speaker 10>top law students in his schools, and he's leaning towards Harvard.

0:30:29.920 --> 0:30:32.520
<v Speaker 10>But one thing that he took a lot of comfort

0:30:32.560 --> 0:30:35.480
<v Speaker 10>in was interacting with the current students. You know, they

0:30:35.560 --> 0:30:40.040
<v Speaker 10>held zooms, they read essays. He met the current president

0:30:40.080 --> 0:30:42.680
<v Speaker 10>of the Black Law Students Association when he in a

0:30:42.840 --> 0:30:47.960
<v Speaker 10>Harvard Law officer admissions officer came to recruit at Dillard.

0:30:48.400 --> 0:30:52.320
<v Speaker 10>So he felt comforted knowing there is this tight student

0:30:53.200 --> 0:30:57.080
<v Speaker 10>group who are there to provide assistance and to provide

0:30:57.160 --> 0:31:01.400
<v Speaker 10>a community. So I think that bodes well. But they've

0:31:01.400 --> 0:31:02.320
<v Speaker 10>got some work to do.

0:31:02.440 --> 0:31:05.719
<v Speaker 11>Yeah, a lot of work. And you know, one thing

0:31:05.760 --> 0:31:07.920
<v Speaker 11>we talked about is the lums is maybe we don't

0:31:07.920 --> 0:31:09.680
<v Speaker 11>give Harvard Law money until.

0:31:09.440 --> 0:31:12.000
<v Speaker 6>We resolve this issue money talks.

0:31:13.760 --> 0:31:17.600
<v Speaker 11>I started a public service scholarship program at Harvard Law,

0:31:17.920 --> 0:31:20.800
<v Speaker 11>so people who wanted to go to public service and

0:31:20.840 --> 0:31:24.000
<v Speaker 11>didn't have money that you make when you go to

0:31:24.000 --> 0:31:27.360
<v Speaker 11>a corporate law firm law firm, could do that as

0:31:27.360 --> 0:31:30.880
<v Speaker 11>an alternative. I mean there, we just have to talk

0:31:30.920 --> 0:31:33.480
<v Speaker 11>about and figure out what went wrong and keep it

0:31:33.480 --> 0:31:37.080
<v Speaker 11>from happening again, because it reflects poorly on the law school.

0:31:37.120 --> 0:31:40.160
<v Speaker 11>It really does, especially when no one else's numbers fell.

0:31:40.480 --> 0:31:43.200
<v Speaker 3>Junk Car Harvard Law class of eighty three, retired partner

0:31:43.200 --> 0:31:46.360
<v Speaker 3>at Simpson and Thatcher. This is in Janet's story said

0:31:46.360 --> 0:31:49.200
<v Speaker 3>this country is going through a new Jim Crow, referring

0:31:49.200 --> 0:31:51.680
<v Speaker 3>to the laws that legalized racial segregation in the US South,

0:31:51.680 --> 0:31:53.680
<v Speaker 3>as we know, back in the nineteen sixties sixties.

0:31:53.680 --> 0:31:58.080
<v Speaker 11>Do you agree, yes, I agree. I was born the

0:31:58.160 --> 0:32:01.880
<v Speaker 11>year Brown versus Board Education was decided nineteen fifty four.

0:32:02.320 --> 0:32:05.240
<v Speaker 11>And my father pushed me into Ivy League schools because

0:32:05.280 --> 0:32:08.160
<v Speaker 11>I was a generation, first generation who could take advantage

0:32:08.160 --> 0:32:10.440
<v Speaker 11>of that. I went to Harvard Law School because I

0:32:10.480 --> 0:32:12.800
<v Speaker 11>could take an advantage of that. And it does feel

0:32:12.840 --> 0:32:16.800
<v Speaker 11>like the Supreme Court and this White House are trying

0:32:16.800 --> 0:32:20.840
<v Speaker 11>to roll back progress that has been made. Anytime our

0:32:20.880 --> 0:32:24.640
<v Speaker 11>president says a plane went down because of a DEI higher,

0:32:25.600 --> 0:32:28.880
<v Speaker 11>you know, he's equating it one DEI with just black,

0:32:28.960 --> 0:32:31.760
<v Speaker 11>even though a lot of other categories included in DEI,

0:32:32.200 --> 0:32:35.400
<v Speaker 11>and he's equating it with incompetence. And that's not what

0:32:35.480 --> 0:32:39.440
<v Speaker 11>THEI is about. And I'm old enough to remember affirmative

0:32:39.440 --> 0:32:43.240
<v Speaker 11>action before DEI. It's been called different things, but the

0:32:43.440 --> 0:32:47.000
<v Speaker 11>goal is to open the door to people that are qualified.

0:32:47.200 --> 0:32:49.600
<v Speaker 11>And someone said to me, so, what you're talking about

0:32:49.760 --> 0:32:54.000
<v Speaker 11>is a diverse meritocracy, and I said, exactly, that's what

0:32:54.040 --> 0:32:54.720
<v Speaker 11>we're talking about.

0:32:54.720 --> 0:32:55.960
<v Speaker 3>One thing I do want to ask, because I know

0:32:56.000 --> 0:32:57.600
<v Speaker 3>we get pushed back on this a lot, is that

0:32:57.640 --> 0:33:00.840
<v Speaker 3>people are going to say, well, half of America put

0:33:00.840 --> 0:33:06.239
<v Speaker 3>this president with his initiatives and his campaign promises, you know,

0:33:06.400 --> 0:33:09.280
<v Speaker 3>to roll back woke initiatives.

0:33:09.480 --> 0:33:10.080
<v Speaker 6>His words.

0:33:10.560 --> 0:33:13.400
<v Speaker 3>You know, what do you say to that.

0:33:13.640 --> 0:33:16.720
<v Speaker 11>I hope that's not true. You know, you mentioned it before.

0:33:16.760 --> 0:33:20.360
<v Speaker 11>I came on about the twenty twenty five plan, and

0:33:20.480 --> 0:33:22.600
<v Speaker 11>there were horrible things in that when I first heard

0:33:22.640 --> 0:33:26.480
<v Speaker 11>about it, and you know, Trump distanced himself phone, No,

0:33:26.560 --> 0:33:28.600
<v Speaker 11>I'm not going to do that, And now he's doing it.

0:33:28.720 --> 0:33:31.240
<v Speaker 11>So did all those people that voted for him know

0:33:31.360 --> 0:33:33.880
<v Speaker 11>he was going to do this? Is this what they wanted?

0:33:34.800 --> 0:33:37.720
<v Speaker 11>We've made a lot of progress, all kind of groups women,

0:33:38.160 --> 0:33:42.600
<v Speaker 11>you know, Asians, Latinos, and I just don't think the

0:33:42.640 --> 0:33:46.520
<v Speaker 11>majority of Americans want that roll back and are saying

0:33:46.800 --> 0:33:49.080
<v Speaker 11>we only want white men again. I don't believe that.

0:33:49.920 --> 0:33:50.280
<v Speaker 6>Jennet.

0:33:50.360 --> 0:33:54.480
<v Speaker 4>You your story is about what's happening at Harvard Law,

0:33:54.520 --> 0:33:57.120
<v Speaker 4>but you already mentioned some of the other Ivy League

0:33:57.160 --> 0:34:01.040
<v Speaker 4>law schools here in the US. Did they see a

0:34:01.080 --> 0:34:03.959
<v Speaker 4>similar drop off too following the Supreme Court decision?

0:34:04.000 --> 0:34:05.080
<v Speaker 6>Do we know that yet?

0:34:05.360 --> 0:34:05.640
<v Speaker 1>Well?

0:34:05.720 --> 0:34:08.080
<v Speaker 10>I mean we looked at the top five law schools,

0:34:08.120 --> 0:34:10.839
<v Speaker 10>and nobody else had the same drop that they did.

0:34:10.880 --> 0:34:15.600
<v Speaker 10>They increased. Now, one reason one Harvard law professor said was,

0:34:15.640 --> 0:34:19.360
<v Speaker 10>you know, Harvard wasn't named litigant in the Supreme Court.

0:34:19.239 --> 0:34:20.640
<v Speaker 6>Lawsuit, So what does that mean?

0:34:20.680 --> 0:34:22.520
<v Speaker 4>Though, does that mean they're more sensitive to it, they're

0:34:22.520 --> 0:34:24.479
<v Speaker 4>more concerned with following the law.

0:34:24.680 --> 0:34:27.759
<v Speaker 10>Well, certainly they're going to be very concerned about it.

0:34:27.800 --> 0:34:30.720
<v Speaker 10>But perhaps if you're a student and you keep hearing

0:34:30.960 --> 0:34:34.360
<v Speaker 10>Harvard Harvard Law School Supreme Court case, Harvard Law Harvard

0:34:34.440 --> 0:34:37.359
<v Speaker 10>University Supreme Court case, over and over and over, that

0:34:37.400 --> 0:34:39.520
<v Speaker 10>could be a recent In the University of North Carolina,

0:34:39.560 --> 0:34:42.520
<v Speaker 10>which was also a name litigant was they also had

0:34:42.520 --> 0:34:43.480
<v Speaker 10>a slight decline.

0:34:44.400 --> 0:34:46.440
<v Speaker 3>Jennet, what are you seeing in terms of colleges? And

0:34:46.440 --> 0:34:48.200
<v Speaker 3>I want to bring you back in and you know

0:34:48.480 --> 0:34:55.080
<v Speaker 3>your reach out to Deborah, But are college's universities not

0:34:55.280 --> 0:34:58.840
<v Speaker 3>talking about issues before? Or they'll give you stuff on background,

0:34:58.920 --> 0:35:00.879
<v Speaker 3>but they want to be very careful. Has it changed

0:35:00.920 --> 0:35:03.680
<v Speaker 3>a medically? You've been covering this industry, this group for

0:35:03.719 --> 0:35:04.319
<v Speaker 3>a long time.

0:35:04.560 --> 0:35:08.799
<v Speaker 10>Everybody is very nervous. You know, people I've talked to

0:35:08.920 --> 0:35:12.840
<v Speaker 10>for more than a decade are very nervous. It's you know,

0:35:13.000 --> 0:35:15.120
<v Speaker 10>the federal funding is under scrutiny.

0:35:15.200 --> 0:35:15.239
<v Speaker 7>No.

0:35:15.320 --> 0:35:17.960
<v Speaker 10>We wrote a story in December basically outlining all the

0:35:17.960 --> 0:35:20.400
<v Speaker 10>things that were likely to happen, especially at a place

0:35:20.440 --> 0:35:23.600
<v Speaker 10>like Harvard, which has been under imment scrutiny and the

0:35:23.680 --> 0:35:28.839
<v Speaker 10>idea that they're considering pulling federal federal research funding seven

0:35:28.920 --> 0:35:31.200
<v Speaker 10>hundred million dollars at Harvard. It's quite a lot of money.

0:35:31.560 --> 0:35:31.840
<v Speaker 6>Debora.

0:35:31.880 --> 0:35:33.880
<v Speaker 4>I want to speak to you in the capacity of

0:35:34.560 --> 0:35:39.080
<v Speaker 4>not just a graduate of Harvard Law and also was

0:35:39.120 --> 0:35:42.800
<v Speaker 4>it the Kennedy School as well, but also as a

0:35:42.840 --> 0:35:46.239
<v Speaker 4>business leader, former CEO of Black Entertainment Television Networks, also

0:35:46.320 --> 0:35:49.800
<v Speaker 4>currently a board member of Marriott p ANDNG Warner Brothers Discovery.

0:35:49.800 --> 0:35:51.879
<v Speaker 4>You've been on boards for many boards for the last

0:35:51.920 --> 0:35:56.799
<v Speaker 4>twenty two years. This is also happening at the corporate level, right.

0:35:57.120 --> 0:35:59.720
<v Speaker 4>So what we're seeing happen in education, we saw executive

0:35:59.800 --> 0:36:02.520
<v Speaker 4>orders from the president, and we know there are a

0:36:02.520 --> 0:36:05.640
<v Speaker 4>lot of people at different universities and our company is

0:36:05.640 --> 0:36:07.440
<v Speaker 4>trying to think, Okay, what do we do with the

0:36:07.480 --> 0:36:11.240
<v Speaker 4>DEI initiatives that we have that have we have invested

0:36:11.280 --> 0:36:13.800
<v Speaker 4>so much in over the past few decades.

0:36:13.880 --> 0:36:15.840
<v Speaker 6>Well, what are you hearing?

0:36:16.000 --> 0:36:18.520
<v Speaker 11>Yeah? Well, what Janet said, people are.

0:36:18.480 --> 0:36:22.080
<v Speaker 6>Afraid business leaders are business.

0:36:21.600 --> 0:36:24.480
<v Speaker 11>Leaders even though the Supreme Court has not touched them,

0:36:24.880 --> 0:36:28.560
<v Speaker 11>doesn't apply to them. But there have been activists that

0:36:28.600 --> 0:36:32.040
<v Speaker 11>have gone after certain corporations and said, you know, you're

0:36:32.040 --> 0:36:36.720
<v Speaker 11>doing too much in DEI. Offices have been shattered, people

0:36:36.760 --> 0:36:40.480
<v Speaker 11>have been reassigned, and they're pulling back on money to

0:36:40.640 --> 0:36:45.960
<v Speaker 11>organizations that might look like DEI. And so there's a

0:36:46.000 --> 0:36:48.640
<v Speaker 11>lot of change going.

0:36:48.680 --> 0:36:53.160
<v Speaker 4>But is there a way to still have a leadership

0:36:53.200 --> 0:36:58.359
<v Speaker 4>team or a workforce that looks like America? Yes, when

0:36:59.320 --> 0:37:02.160
<v Speaker 4>you have pushed back from the federal government at initiatives

0:37:02.200 --> 0:37:03.080
<v Speaker 4>that attempt to do that.

0:37:03.520 --> 0:37:07.759
<v Speaker 11>Several more than several companies have said, diversity has been

0:37:07.800 --> 0:37:10.480
<v Speaker 11>one of our values for one hundred and twenty years

0:37:10.600 --> 0:37:12.839
<v Speaker 11>and we're not going to change it because of this

0:37:12.960 --> 0:37:16.080
<v Speaker 11>White House that may be in office for four years.

0:37:16.600 --> 0:37:20.120
<v Speaker 11>And so people are standing up against the political pressure.

0:37:20.600 --> 0:37:24.000
<v Speaker 11>And I admire those companies because it does take a lot.

0:37:24.120 --> 0:37:28.320
<v Speaker 11>And if next week they do get some federal funding

0:37:28.360 --> 0:37:31.279
<v Speaker 11>from the government, will that change their position. I don't know.

0:37:31.400 --> 0:37:35.920
<v Speaker 11>But several companies well that are standing tough.

0:37:36.760 --> 0:37:39.040
<v Speaker 3>Don't bring you into this question. You you know, did all

0:37:39.040 --> 0:37:42.920
<v Speaker 3>this reporting and have talked to Deborah ahead of the

0:37:42.920 --> 0:37:44.600
<v Speaker 3>story being put out on the Bloomberg.

0:37:45.080 --> 0:37:47.719
<v Speaker 10>Well, I guess, Deborah, is there anything that you would

0:37:47.760 --> 0:37:51.120
<v Speaker 10>say to a potential Harvard law student now a black

0:37:51.120 --> 0:37:53.960
<v Speaker 10>student who's considering option. Should I go there? Is it

0:37:54.239 --> 0:37:56.799
<v Speaker 10>or should I go somewhere else? Only nineteen students in

0:37:56.840 --> 0:38:00.000
<v Speaker 10>one year, maybe if maybe it's just going to be small,

0:38:00.560 --> 0:38:01.400
<v Speaker 10>what would you say?

0:38:01.640 --> 0:38:05.440
<v Speaker 11>I would say, If they're admitted, go to Harvard, try

0:38:05.480 --> 0:38:11.720
<v Speaker 11>to apply, you know, talk to students, talk to consultants

0:38:11.760 --> 0:38:14.439
<v Speaker 11>that help with these kind of things. Put your best

0:38:14.480 --> 0:38:17.080
<v Speaker 11>foot forward, and hopefully you will get admitted. And I

0:38:17.160 --> 0:38:20.000
<v Speaker 11>will tell students because I do get this question a

0:38:20.000 --> 0:38:23.960
<v Speaker 11>lot from students who are admitted to Stanford or Georgetown

0:38:24.080 --> 0:38:26.359
<v Speaker 11>or whatever, and they're like, oh, I got a full

0:38:26.440 --> 0:38:29.360
<v Speaker 11>ride from UCLA. I'm like, if you got into Harvard,

0:38:29.480 --> 0:38:33.120
<v Speaker 11>go into debt and go. It's the best network, it's

0:38:33.160 --> 0:38:36.440
<v Speaker 11>the best law school. You know, you can't go wrong

0:38:36.640 --> 0:38:38.960
<v Speaker 11>with going there. You may have to pay back more

0:38:39.000 --> 0:38:41.960
<v Speaker 11>money than if you went to UCLA on a full ride.

0:38:42.200 --> 0:38:44.360
<v Speaker 11>So I'm a big proponent of it. Even though I

0:38:44.400 --> 0:38:47.560
<v Speaker 11>didn't really want to go to Harvard. My dean made

0:38:47.560 --> 0:38:50.800
<v Speaker 11>me apply, and I didn't tell my father I applied

0:38:50.880 --> 0:38:52.719
<v Speaker 11>because I knew if I told him and I got in,

0:38:52.760 --> 0:38:55.040
<v Speaker 11>he would make me go. So I didn't tell him.

0:38:55.040 --> 0:38:57.000
<v Speaker 11>When I told him, I got in and I was

0:38:57.040 --> 0:38:59.400
<v Speaker 11>going because I made it up my own mind. He said, oh,

0:38:59.440 --> 0:39:01.879
<v Speaker 11>that's funny, you didn't even apply, and I was like, well,

0:39:01.920 --> 0:39:05.920
<v Speaker 11>I forgot to tell you. But it's one of the

0:39:05.920 --> 0:39:07.440
<v Speaker 11>best decisions I made.

0:39:07.560 --> 0:39:08.640
<v Speaker 6>Hey, before we let you go.

0:39:08.920 --> 0:39:12.000
<v Speaker 4>What someone listening or watching right now who might agree

0:39:12.040 --> 0:39:14.799
<v Speaker 4>with what the White House has done might say to

0:39:15.600 --> 0:39:20.800
<v Speaker 4>themselves or say to us, what about the idea of meritocracy.

0:39:21.160 --> 0:39:23.520
<v Speaker 4>We're only the best of the best get to do

0:39:23.560 --> 0:39:27.839
<v Speaker 4>these things. And if you bring in other factors, it's

0:39:27.880 --> 0:39:28.799
<v Speaker 4>not a meritocracy.

0:39:28.800 --> 0:39:29.439
<v Speaker 6>What would you say?

0:39:29.520 --> 0:39:32.520
<v Speaker 11>I would say, that's absolutely not true. We bring in

0:39:32.600 --> 0:39:35.520
<v Speaker 11>other factors all the time. I remember my first law

0:39:35.560 --> 0:39:38.440
<v Speaker 11>firm job. The guy who started the same day I

0:39:38.480 --> 0:39:41.279
<v Speaker 11>did was a baseball player, and all the partners kept saying,

0:39:41.320 --> 0:39:42.640
<v Speaker 11>Oh my god, you're going to be on our team.

0:39:42.680 --> 0:39:45.520
<v Speaker 11>We're so excited. Why did he get the job?

0:39:46.000 --> 0:39:46.239
<v Speaker 5>You know?

0:39:46.880 --> 0:39:49.040
<v Speaker 11>And maybe I got the job because I was black

0:39:49.160 --> 0:39:52.000
<v Speaker 11>or a woman, But there are always other factors, and

0:39:52.200 --> 0:39:56.920
<v Speaker 11>meritocracy is always an issue. You know, if someone opens

0:39:56.920 --> 0:39:58.600
<v Speaker 11>the door for you and you walk through it and

0:39:58.640 --> 0:40:01.080
<v Speaker 11>you can't compete, you're not gonna make it. You're not

0:40:01.120 --> 0:40:02.640
<v Speaker 11>going to make it. I saw a great thing on

0:40:02.719 --> 0:40:06.200
<v Speaker 11>Instagram about that about black women doctors. Someone said, I

0:40:06.239 --> 0:40:09.279
<v Speaker 11>don't trust them and they take the same exams as

0:40:09.320 --> 0:40:11.799
<v Speaker 11>everyone else, They do the same work and they have

0:40:11.880 --> 0:40:14.759
<v Speaker 11>to graduate. What are you talking about? So I like

0:40:14.840 --> 0:40:17.440
<v Speaker 11>the word. And actually John Malone came up with it.

0:40:17.719 --> 0:40:19.640
<v Speaker 11>He's on one of the boards I'm on and he

0:40:19.719 --> 0:40:22.840
<v Speaker 11>said to me, Deborah, what you want is a diverse meritocracy.

0:40:22.880 --> 0:40:26.160
<v Speaker 3>And I said, exactly, a diverse meritocracy, something to really

0:40:26.520 --> 0:40:30.240
<v Speaker 3>think about. We don't want standards to be lowered exactly. Hey, listen,

0:40:30.239 --> 0:40:31.480
<v Speaker 3>we've got a run. We've got to get back to

0:40:31.520 --> 0:40:34.240
<v Speaker 3>the markets. But thank you so much, an important story

0:40:34.239 --> 0:40:37.280
<v Speaker 3>to tell. Jenna Lauren, Bloomberg News Higher Education finance reporter,

0:40:37.400 --> 0:40:40.480
<v Speaker 3>incredible reporting, climbed it on the Bloomberg and Deborly thank

0:40:40.520 --> 0:40:42.759
<v Speaker 3>you for finding time pres as well former CEO Black

0:40:42.840 --> 0:40:44.759
<v Speaker 3>Entertainment Television Network.

0:40:45.239 --> 0:40:50.080
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0:40:50.200 --> 0:40:53.920
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