WEBVTT - Bloomberg Businessweek Weekend: November 14th, 2025

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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 Daily reporting from the magazine

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<v Speaker 2>that helps global leaders stay ahead with insight on the people, companies,

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<v Speaker 2>and trends shaping today's complex economy. Plus global business, finance

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<v Speaker 2>and tech news as it happens. The Bloomberg Business Week

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<v Speaker 2>Daily Podcast with Carol Masser and Tim Steneveek on Bloomberg Radio.

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<v Speaker 3>Hi everyone, Welcome to the Bloomberg Business Week Weekend Podcast.

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<v Speaker 3>This week, the longest recorded US government shutdown finally came

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<v Speaker 3>to an end after forty three days that included disrupted

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<v Speaker 3>flights across the country and delayed food aid for millions.

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<v Speaker 3>In fact, one in eight Americans congressional Democrats, eight of

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<v Speaker 3>them in the Senate, crossed the aisle to end the

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<v Speaker 3>federal shutdown, a move some crid as the Democrats caving

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<v Speaker 3>to Republicans. We get into that a little later on.

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<v Speaker 4>Then, as we await the first drop of US government

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<v Speaker 4>economic data, is things get back to normal in Washington, DC.

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<v Speaker 4>What's become normal in the US is a K shaped

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<v Speaker 4>economy where those at the top are doing well and

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<v Speaker 4>those at the bottom are not. And for those struggling

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<v Speaker 4>Americans they are already in recession. That's according to Peter Atwater,

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<v Speaker 4>who started talking about the k shaped economy five years ago.

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<v Speaker 4>He's the subject of a Bloomberg Big Take this week.

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<v Speaker 4>We're gonna hear from him a little later this hour.

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<v Speaker 3>Also we get reads on the consumer, the business environment,

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<v Speaker 3>the global economy, trade, and more as we catch up

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<v Speaker 3>with a few members of the C suite, including the

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<v Speaker 3>CEO at Magna International.

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<v Speaker 4>End Plus, in our second hour, the case against social

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<v Speaker 4>media and its dangerous algorithms determining which ultra processed foods

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<v Speaker 4>are actually bad for you spoiler alert, it's most And

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<v Speaker 4>then Carol SIPs on some wine in the responsible way

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<v Speaker 4>courtesy of the CEO of Maisson Mirabau very nicely said,

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<v Speaker 4>by the way, thank you, I won one year of French.

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<v Speaker 3>It's actually high school paid off.

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<v Speaker 4>Well, thank you, miss Halsey.

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<v Speaker 5>So sweet.

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<v Speaker 3>All of that to come, we begin with Washington, the

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<v Speaker 3>nation's capital, and the longest government shut down on record,

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<v Speaker 3>finally finally coming to an end.

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<v Speaker 4>Writing about the actions by some Democrats to give Republicans

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<v Speaker 4>the votes to bring it all to an end, why

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<v Speaker 4>the vote was surprising, and why it wasn't for the

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<v Speaker 4>Democrats is Josh Green Bloomberg BusinessWeek national correspondent. Josh is

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<v Speaker 4>the author of a couple books, including the New York

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<v Speaker 4>Times bestseller Devil's Bargain, Steve Bannon, Donald Trump, and The

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<v Speaker 4>Storming of the Presidency Democrats Josh crossing the aisle to

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<v Speaker 4>end the shutdown? Was it a quote terrible mistake? A

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<v Speaker 4>Senator Elizabeth Warren told reporters. Governor Gavin Newsom called it

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<v Speaker 4>quote pathetic? Or is this smart ahead of the min terms?

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<v Speaker 4>This is kind of a narrative that's emerging now. Republicans

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<v Speaker 4>will own they see a premiums going up that'll affect

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<v Speaker 4>a lot of their constituents.

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<v Speaker 6>What's the chatter?

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<v Speaker 7>Well, I think the overwhelming sentiment of the Democrat grass

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<v Speaker 7>roots is anger and confusion that, you know, Democrats who've

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<v Speaker 7>just come off the sweeping election victory, who polls showed

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<v Speaker 7>were not being blame for a shutdown that they in

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<v Speaker 7>fact had caused. Why they would suddenly decide to throw

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<v Speaker 7>in the towel without really much much warning.

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<v Speaker 8>I think is upset an awful lot of.

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<v Speaker 7>People, mostly at the grassroots level, but also from a

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<v Speaker 7>lot of the politicians, especially ones like Gavin Newsom, who

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<v Speaker 7>maybe have their eye on the White House and are

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<v Speaker 7>especially attuned to grassroots sentiment. But I think that there's

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<v Speaker 7>another kind of quieter realist wing of the party that

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<v Speaker 7>looked in the mirror and said, look, there's really no

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<v Speaker 7>clear winning exit strategy.

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<v Speaker 8>We've got to pull the plug at some time.

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<v Speaker 7>So let's do it now before things get really bad

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<v Speaker 7>for federal workers, before the entire US airline industry grinds

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<v Speaker 7>to a halt, maybe on Thanksgiving weekend, and just turn

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<v Speaker 7>around and decided to kind of rip off the band aid.

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<v Speaker 7>Now that's caused a lot of anger, but it's not

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<v Speaker 7>necessarily clear that long term that this is going to be.

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<v Speaker 8>The wrong move.

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<v Speaker 3>What's that like thinking or strategizing about? Like, Okay, what

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<v Speaker 3>party gets blamed? And you know, I was thinking about

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<v Speaker 3>this when I was on a TSA line. I mean

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<v Speaker 3>the government shutdown and got at those screen screens and

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<v Speaker 3>who do I see Christy Nome, you know, playing over

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<v Speaker 3>and over on a loop, And I just wonder the

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<v Speaker 3>general public, like who do they blame? And so was

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<v Speaker 3>there a feeling that it was the Republican shutdown? Was

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<v Speaker 3>it both the parties? How was it playing out?

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<v Speaker 7>I mean, it's interesting dynamic. Over the last like three

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<v Speaker 7>or four government shutdowns. What's happened in pretty short order

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<v Speaker 7>is that services start shutting down, national parks start shutting down,

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<v Speaker 7>you have a problem with airlines. Everybody says, well, gee,

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<v Speaker 7>who's to blame. And it's pretty clear whichever party shut

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<v Speaker 7>down the government gets blamed by the other party because

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<v Speaker 7>everybody in that party is on the same page, they

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<v Speaker 7>can kind of point to the same bad guy. I

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<v Speaker 7>think that the tricky thing this time around was that

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<v Speaker 7>President Trump didn't really seem to be all that interested

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<v Speaker 7>in the shutdown for like the first two or three weeks.

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<v Speaker 7>He was much more interested in knocking down the East

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<v Speaker 7>Wing in the White House, building up his new ballroom,

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<v Speaker 7>And so you had this kind of mixed message from

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<v Speaker 7>Republicans where some Republicans in Congress were trying to run

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<v Speaker 7>the ordinary place book of blaming Democrats, but Trump wasn't

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<v Speaker 7>really on that page, wasn't really doing that, and it's

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<v Speaker 7>a much more interesting exciting story to write about this

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<v Speaker 7>grand new ballroom that's apparently going up in the White House,

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<v Speaker 7>and so nobody really focused on who was to blame.

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<v Speaker 7>And when things started going wrong, they just kind of

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<v Speaker 7>naturally blamed the president and the party that controls Congress.

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<v Speaker 3>You know, Josh, I do wonder, like, did things like,

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<v Speaker 3>you know, tearing down the ballroom, showing off a new

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<v Speaker 3>marble bathroom at the White House that the president has,

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<v Speaker 3>having a great Gatsby party for Halloween exactly. That was

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<v Speaker 3>really over the top if you saw some of the images.

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<v Speaker 3>And I don't want to be political, but I do wonder.

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<v Speaker 3>This is a president who said, like, I am here

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<v Speaker 3>for you, and I'm going to take actions that are

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<v Speaker 3>here for more Americans. That's you know, at the same time,

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<v Speaker 3>we're talking about one in eight who aren't going to

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<v Speaker 3>get food stamps because of the government shutdown. So I'm

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<v Speaker 3>just curious how that plays politically. Was that getting noticed

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<v Speaker 3>that kind of gag.

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<v Speaker 7>It definitely was. I think it does two things. I mean,

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<v Speaker 7>going back to sort of that, you know, how a

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<v Speaker 7>party deals with a shutdown. If all Republicans had been

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<v Speaker 7>unified from day one, including President Trump saying, look, the

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<v Speaker 7>Democrats did this, it's their fault, blame them, I think

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<v Speaker 7>things would have ended much earlier. But like as we said,

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<v Speaker 7>that didn't happen. Trump was more concerned with other things,

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<v Speaker 7>and when he did begin to get upset about the shutdown,

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<v Speaker 7>instead of blaming Democrats, he started getting angry at Republicans

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<v Speaker 7>and told them they ought to eliminate the filibuster, which

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<v Speaker 7>would be another way to open the government. But it's

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<v Speaker 7>not something that Republicans wanted to do. And so as

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<v Speaker 7>this fight was going on, you do see these images

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<v Speaker 7>on TV on social media of the redecorations in the

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<v Speaker 7>White House, of these glitzy parties at mar A Lago. Meanwhile,

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<v Speaker 7>you know, food stamps are being frozen. The White House

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<v Speaker 7>is out saying no, we don't want to pay these

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<v Speaker 7>during the government shutdown. Democrats and states are having to

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<v Speaker 7>take them to court. So it really did create a

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<v Speaker 7>political problem that polls show pretty clearly was hurting President

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<v Speaker 7>Trump's approval rating and hurting Republicans and Congress. And that's

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<v Speaker 7>one reason why Democratic kind of grassroots and a lot

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<v Speaker 7>of lawmakers were so upset that moderates in their caucus

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<v Speaker 7>decided to pull the plug in the shutdown early because

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<v Speaker 7>they didn't think it was hurting Democrats.

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<v Speaker 8>They thought it was hurting their opponents.

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<v Speaker 4>I think it was Mike Allen and Axios who wrote

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<v Speaker 4>a commentary about how it could be a challenge for

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<v Speaker 4>the Trump administration to present themselves as fighting for the

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<v Speaker 4>little guy or fighting for the middle class or the

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<v Speaker 4>working class if they're not focused on the ACA subsidies

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<v Speaker 4>or on funding SNAP during this time. I wonder if

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<v Speaker 4>that message will resonate with voters going into the midterms

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<v Speaker 4>in twenty six.

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<v Speaker 9>Yeah.

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<v Speaker 7>I think that's a really smart point. I think it

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<v Speaker 7>might resonate even sooner. I did a Business Week newsletter

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<v Speaker 7>just kind of my gloss on the shutdown and what

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<v Speaker 7>was and what it was not accomplished. And I do

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<v Speaker 7>think that one of the things that Democrats accomplished, even

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<v Speaker 7>though so many of them are unhappy about the way

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<v Speaker 7>things ended, They've added real salients to this issue of

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<v Speaker 7>rising Obamacare premiums. Originally, Democrats said were only going to

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<v Speaker 7>reopen the government if Trump and Republicans agree to fund

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<v Speaker 7>these provisions, it will help extend subsidies, keep insurance affordable.

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<v Speaker 8>Republicans don't want to do that.

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<v Speaker 7>They didn't do that, so even though Republicans are Democrats

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<v Speaker 7>weren't able to win that as a concession to reopen

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<v Speaker 7>the government. It's been on the front pages of the newspapers,

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<v Speaker 7>it's been in the news. I think the American public

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<v Speaker 7>is very aware that these premiums are about to rise,

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<v Speaker 7>and I think partly because of the spotlight that the

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<v Speaker 7>shutdown shown on this issue. If and when those premiums

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<v Speaker 7>do rise, the American people are largely going to bring

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<v Speaker 7>Trump and Republicans and essentially it's going to be up

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<v Speaker 7>to them to kind of find the solution, which isn't

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<v Speaker 7>exactly how Democrats wanted things to end, but it could

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<v Speaker 7>turn out to be that public pressure in the event

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<v Speaker 7>of these rising premiums actually does produce some sort of

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<v Speaker 7>solution that Democrats could get behind.

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<v Speaker 3>So, you know, Josh, when the Republicans and the Democrats

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<v Speaker 3>that went over to the other side are basic, you know,

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<v Speaker 3>broke away and got this Republican promise to vote on

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<v Speaker 3>extending Obamacare insurance premium credits by mid December. So politically

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<v Speaker 3>it will happen or could Republicans back out.

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<v Speaker 7>I think it's very unlikely to happen. I mean, Republicans

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<v Speaker 7>have been adamant that they're not going to vote to

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<v Speaker 7>support these things. So you can have a vote, the

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<v Speaker 7>vote will lose, and that will probably be the end

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<v Speaker 7>of it, at least in the short term. If the

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<v Speaker 7>vote were to win in the Senate, it would go

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<v Speaker 7>to the House houses controlled by Republicans, and they've said

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<v Speaker 7>they might not even take it up. But eventually, if

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<v Speaker 7>insurance premiums do go up and just ordinary people begin

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<v Speaker 7>to react badly to that, including Republican districts, that could

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<v Speaker 7>put pressure on Republicans in Trump to finally have to

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<v Speaker 7>do something about it.

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<v Speaker 3>And there's a record right of people of how they voted.

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<v Speaker 7>Absolutely yeah, And ultimately, look, Republicans control Congress, they control

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<v Speaker 7>the White House.

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<v Speaker 8>The buck stops with them.

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<v Speaker 7>If there needs to be a solution, they're ultimately going

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<v Speaker 7>to have to come through and deliver one.

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<v Speaker 4>That was Josh Green, Bloomberg BusinessWeek National correspondent.

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<v Speaker 3>Now, if the government reopened this past week, all eyes

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<v Speaker 3>now on the Bureau Labors, Statistics and other statistical agencies

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<v Speaker 3>and when they will release key economic data. Some information

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<v Speaker 3>on that tim definely started to come out throughout the

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<v Speaker 3>past week about you know, when and what we might

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<v Speaker 3>be getting.

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<v Speaker 4>In the absence of that data, we've relied on a

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<v Speaker 4>lot of private data for reads on the US economy. Meantime,

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<v Speaker 4>we've also seen earnings and revenue growth for many US companies,

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<v Speaker 4>wealthy consumer shopping and US consumer sentiment that tumbled to

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<v Speaker 4>near the lowest on record as the government shut down

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<v Speaker 4>weigh on the economic outlook and high prices soured views

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<v Speaker 4>about personal finances.

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<v Speaker 3>It's that case shaped economy, right, of some doing well

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<v Speaker 3>in some not. I mean, just this past week, car

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<v Speaker 3>Loans have gone from the safest consumer credit products to

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<v Speaker 3>among the riskies over the last fifteen years as delinquencies

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<v Speaker 3>rose more than fifty percent fifty percent driven by soaring

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<v Speaker 3>car prices and rising interest rates. So that is one

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<v Speaker 3>of the troubling signs Tim, in this economy.

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<v Speaker 4>Yeah, it's the K shaped economy that we've been talking

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<v Speaker 4>about for years. Also talking about it for years. Peter Alwater,

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<v Speaker 4>president of Financial Insights and Adjunct Lecture of Economics at

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<v Speaker 4>the College of Willing and Mary, he started talking about

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<v Speaker 4>the K shaped economy that was during the pandemic.

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<v Speaker 10>Long time five years ago at least, so, Carol, it's

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<v Speaker 10>been more than five and a half years since I

0:11:09.440 --> 0:11:13.160
<v Speaker 10>first started writing about the K shaped economy, and I

0:11:13.160 --> 0:11:15.840
<v Speaker 10>think what's happened is that for those at the top,

0:11:15.960 --> 0:11:20.120
<v Speaker 10>the financial markets have been extraordinary. Meanwhile, for those at

0:11:20.160 --> 0:11:23.959
<v Speaker 10>the bottom, things have just continued to deteriorate, and now

0:11:24.040 --> 0:11:29.000
<v Speaker 10>compounded by the cumulative effect of inflation on particularly food.

0:11:29.559 --> 0:11:33.720
<v Speaker 10>You've referenced the car Loan delinquencies, and that's another sign.

0:11:33.760 --> 0:11:37.400
<v Speaker 10>And I think that those at the bottom have this

0:11:37.720 --> 0:11:45.840
<v Speaker 10>heavy weight, whether it's childcare, education, housing, it feels mighty

0:11:45.840 --> 0:11:47.520
<v Speaker 10>heavy to those at the bottom. And I think at

0:11:47.520 --> 0:11:50.360
<v Speaker 10>this point we really don't have a single economy in America.

0:11:50.520 --> 0:11:52.679
<v Speaker 10>We have two very distinct experiences.

0:11:52.920 --> 0:11:56.880
<v Speaker 3>So are we becoming peter An economy a country where

0:11:56.880 --> 0:12:02.000
<v Speaker 3>there are a few rich people who are living in

0:12:02.040 --> 0:12:02.960
<v Speaker 3>a poor country.

0:12:04.240 --> 0:12:07.160
<v Speaker 10>I would describe it, yeah, as a handful of folks

0:12:07.200 --> 0:12:10.440
<v Speaker 10>who feel invulnerable in a mounting sea of despair.

0:12:11.280 --> 0:12:12.520
<v Speaker 6>Hasn't it been like that for years?

0:12:12.600 --> 0:12:12.880
<v Speaker 11>Though?

0:12:13.200 --> 0:12:17.040
<v Speaker 4>What's different about right now? I remember having the same discussion,

0:12:17.760 --> 0:12:21.680
<v Speaker 4>not with the same data, but in graduate school in

0:12:21.720 --> 0:12:25.680
<v Speaker 4>a class about how in the developing world you start

0:12:25.720 --> 0:12:27.760
<v Speaker 4>to see economies such as this, and that was that

0:12:27.840 --> 0:12:30.640
<v Speaker 4>the professor was arguing where we were headed in the US.

0:12:30.800 --> 0:12:32.200
<v Speaker 4>It's been like this for quite some time.

0:12:33.480 --> 0:12:37.200
<v Speaker 10>The gap has existed, but not to this extreme. And remember, Tim,

0:12:37.600 --> 0:12:40.040
<v Speaker 10>there used to be a sense that there was a ladder,

0:12:40.080 --> 0:12:43.000
<v Speaker 10>a way to progress from the bottom up through the

0:12:43.040 --> 0:12:45.600
<v Speaker 10>middle class and into the upper middle class and then

0:12:45.920 --> 0:12:48.920
<v Speaker 10>into the truly wealthy. And for those at the bottom,

0:12:49.000 --> 0:12:52.280
<v Speaker 10>that ladder's gone. There are no more rungs that enable

0:12:52.360 --> 0:12:55.600
<v Speaker 10>them to go up. And I think we have fallen

0:12:55.640 --> 0:12:58.520
<v Speaker 10>into a more of a cast system that, to your point,

0:12:58.840 --> 0:13:04.160
<v Speaker 10>looks less like America that many were promised, and more

0:13:04.360 --> 0:13:07.360
<v Speaker 10>like a lot of the developed nations around the world.

0:13:07.559 --> 0:13:12.640
<v Speaker 3>So when does it show up, Peter, Because those who

0:13:12.840 --> 0:13:17.000
<v Speaker 3>are at the lower economic rung, if you will, when

0:13:17.040 --> 0:13:20.280
<v Speaker 3>it comes to the US economy or having troubles and

0:13:20.320 --> 0:13:22.320
<v Speaker 3>so they're not going to Chipotle or they're not going

0:13:22.320 --> 0:13:24.800
<v Speaker 3>to Kava and a few other places. But when does

0:13:24.840 --> 0:13:28.280
<v Speaker 3>this really start to show up in our economy in

0:13:28.320 --> 0:13:31.640
<v Speaker 3>the financial markets? Just curious.

0:13:32.360 --> 0:13:35.480
<v Speaker 10>So in terms of consumer sentiment, it showed up almost

0:13:35.520 --> 0:13:41.040
<v Speaker 10>immediately after COVID, when those white collar workers were able

0:13:41.080 --> 0:13:44.280
<v Speaker 10>to pivot to work from home, their confidence was restored.

0:13:44.320 --> 0:13:48.000
<v Speaker 10>They also got boosts from monetary and fiscal policy. And

0:13:48.040 --> 0:13:52.840
<v Speaker 10>for those at the bottom, those stimulus chicks really just

0:13:52.920 --> 0:13:56.719
<v Speaker 10>went through them to their lenders, to their landlords. And

0:13:56.800 --> 0:14:01.240
<v Speaker 10>so this has been ongoing for a long time, and

0:14:01.280 --> 0:14:05.120
<v Speaker 10>I wouldn't underestimate the compounding effect that time has for

0:14:05.160 --> 0:14:07.040
<v Speaker 10>those at the bottom, and I think it's showing up

0:14:07.360 --> 0:14:10.840
<v Speaker 10>in the affordability message that you're seeing now politically, all.

0:14:10.800 --> 0:14:13.360
<v Speaker 3>Right, The other part I want to get to is

0:14:13.400 --> 0:14:16.240
<v Speaker 3>ask you about is the upper part of the K

0:14:16.640 --> 0:14:18.960
<v Speaker 3>when you look at this economy, is it kind of fragile,

0:14:19.160 --> 0:14:23.520
<v Speaker 3>even perhaps potentially for those who are even wealthier in

0:14:23.560 --> 0:14:24.280
<v Speaker 3>this economy?

0:14:25.120 --> 0:14:28.000
<v Speaker 10>I think so, And I think that what there's been

0:14:28.040 --> 0:14:31.360
<v Speaker 10>lots of discussion about the circularity within the AI system.

0:14:32.600 --> 0:14:36.640
<v Speaker 10>I think that circularity exists more broadly between the wealthy

0:14:36.960 --> 0:14:41.000
<v Speaker 10>AI and you see that in first class travel, you

0:14:41.080 --> 0:14:45.040
<v Speaker 10>see that in a lot of the luxury experiences. And

0:14:45.320 --> 0:14:49.080
<v Speaker 10>we used to say that the economy is not the markets,

0:14:49.720 --> 0:14:54.240
<v Speaker 10>but at the upper end, the markets and the economy

0:14:54.280 --> 0:14:58.400
<v Speaker 10>are now indistinguishable. And we need to appreciate the fragility

0:14:59.120 --> 0:15:02.880
<v Speaker 10>of over financial markets. If I look at the amount

0:15:02.920 --> 0:15:07.120
<v Speaker 10>of speculation going on through options and the price price

0:15:07.160 --> 0:15:09.880
<v Speaker 10>to earnings multiples, there are lots of signs that this

0:15:09.960 --> 0:15:14.400
<v Speaker 10>is a market that feels extraordinarily confident, and ironically, that's

0:15:14.520 --> 0:15:16.480
<v Speaker 10>where the fragility ultimately rests.

0:15:17.280 --> 0:15:23.280
<v Speaker 4>What about this idea of the meritocracy, or the idea

0:15:23.320 --> 0:15:26.640
<v Speaker 4>that people actually in this day and age have a

0:15:26.640 --> 0:15:31.440
<v Speaker 4>harder time moving in and out of social strata. The

0:15:31.480 --> 0:15:34.160
<v Speaker 4>American dream is this idea that anyone can come to

0:15:34.160 --> 0:15:37.080
<v Speaker 4>the United States and succeed regardless of where they start.

0:15:37.520 --> 0:15:40.920
<v Speaker 4>You argue that that doesn't exist as much anymore.

0:15:41.560 --> 0:15:47.080
<v Speaker 10>Why is that so wealth accumulation happens more slowly? You

0:15:47.480 --> 0:15:49.640
<v Speaker 10>look at, for example, the fact that it now takes

0:15:49.680 --> 0:15:52.680
<v Speaker 10>to age forty to be a first time home buyer.

0:15:53.920 --> 0:15:56.960
<v Speaker 10>It wasn't that long ago when that age was twenty five,

0:15:57.760 --> 0:16:01.520
<v Speaker 10>and so the wealth accumulation potent for this new generation

0:16:02.160 --> 0:16:05.680
<v Speaker 10>is far less than the generation before, assuming that housing

0:16:05.760 --> 0:16:10.120
<v Speaker 10>is a means for accumulating wealth, and so what you're

0:16:10.160 --> 0:16:14.640
<v Speaker 10>seeing is, particularly with things like childcare and healthcare, the

0:16:14.720 --> 0:16:19.680
<v Speaker 10>burden on those families starting out is substantially higher than

0:16:19.880 --> 0:16:22.360
<v Speaker 10>the one certainly I experienced and likely the one you

0:16:22.600 --> 0:16:23.160
<v Speaker 10>started with.

0:16:25.160 --> 0:16:29.080
<v Speaker 3>All right, so how do we fix this? Because it does.

0:16:28.920 --> 0:16:32.200
<v Speaker 4>Feel like you have three minutes, Peter, fix the pot.

0:16:33.600 --> 0:16:33.680
<v Speaker 12>No.

0:16:34.000 --> 0:16:37.360
<v Speaker 10>I think that policy makers need to be really attuned

0:16:37.360 --> 0:16:39.840
<v Speaker 10>to this. I think they shouldn't ignore the message of

0:16:39.880 --> 0:16:43.640
<v Speaker 10>a affordability that came out of the New York mayoral election.

0:16:45.200 --> 0:16:48.360
<v Speaker 10>What we're seeing is not a movement to the left

0:16:48.400 --> 0:16:51.840
<v Speaker 10>as much as a movement down. And I think policy

0:16:51.880 --> 0:16:57.720
<v Speaker 10>makers really don't appreciate how purple the bottom of our

0:16:57.760 --> 0:17:03.400
<v Speaker 10>economy is, and recently purple with rage. So we need

0:17:03.440 --> 0:17:10.280
<v Speaker 10>to address their shared vulnerability, their despair, because ultimately history

0:17:10.320 --> 0:17:14.760
<v Speaker 10>shows that that when it becomes widespread, those with nothing

0:17:14.840 --> 0:17:18.120
<v Speaker 10>to lose will gladly go after those with everything to lose.

0:17:18.240 --> 0:17:21.880
<v Speaker 4>Do policymakers actually have the tools in a divided country

0:17:22.520 --> 0:17:24.960
<v Speaker 4>to fix this, I.

0:17:24.880 --> 0:17:25.520
<v Speaker 8>Think they do.

0:17:25.600 --> 0:17:30.199
<v Speaker 10>I think it requires them to recognize that it is

0:17:30.560 --> 0:17:34.719
<v Speaker 10>in the best interest of both political parties to address this,

0:17:34.800 --> 0:17:39.600
<v Speaker 10>because we know that anti establishment candidates become more popular,

0:17:39.640 --> 0:17:43.520
<v Speaker 10>we know that progressive candidates become more popular, and so

0:17:43.600 --> 0:17:47.359
<v Speaker 10>it behooves them to pay attention to this and to

0:17:47.440 --> 0:17:50.480
<v Speaker 10>address it. And to be clear, those at the bottom

0:17:50.760 --> 0:17:53.359
<v Speaker 10>are not looking for a handout. They're looking for a

0:17:53.440 --> 0:17:56.639
<v Speaker 10>hand They want to see job training, They want to

0:17:56.680 --> 0:18:00.360
<v Speaker 10>see opportunities that allow them to move up. We saw

0:18:00.400 --> 0:18:03.320
<v Speaker 10>from the soybean farmers and the ranchers. They don't want

0:18:03.440 --> 0:18:07.040
<v Speaker 10>a government handout. They want their products sold. They want

0:18:07.080 --> 0:18:10.000
<v Speaker 10>to have a real meaningful purpose in this economy.

0:18:10.080 --> 0:18:11.480
<v Speaker 3>Peter, I'm thinking of the big take that you do

0:18:11.560 --> 0:18:16.040
<v Speaker 3>with Sara Holder that's on the Bloomberg right now, and

0:18:16.800 --> 0:18:19.720
<v Speaker 3>I guess they were asking. She was asking along with

0:18:20.560 --> 0:18:24.399
<v Speaker 3>Katerina Sariva, talking about this case shaped economy not just

0:18:24.440 --> 0:18:28.399
<v Speaker 3>being kind of the same thing as like measuring inequality.

0:18:28.920 --> 0:18:31.520
<v Speaker 3>And I'm just thinking about a response that you gave

0:18:31.520 --> 0:18:33.520
<v Speaker 3>and you said, it's not just inequality in terms of

0:18:33.560 --> 0:18:37.400
<v Speaker 3>an economic sense, it's inequality multiple dimensions at once. Because

0:18:37.440 --> 0:18:40.840
<v Speaker 3>for those at the bottom, they have scarcity and education

0:18:41.040 --> 0:18:44.960
<v Speaker 3>and healthcare, in childcare, in job opportunity, they have what

0:18:45.400 --> 0:18:49.000
<v Speaker 3>you termed stacked vulnerability, where the economic piece is just

0:18:49.080 --> 0:18:51.359
<v Speaker 3>one more thing. And at the same time, those at

0:18:51.400 --> 0:18:55.120
<v Speaker 3>the top have an overabundance in everything, power, money, influence,

0:18:55.119 --> 0:18:56.840
<v Speaker 3>and so it's become very difficult for those at the

0:18:56.880 --> 0:19:00.800
<v Speaker 3>bottom to ignore what's happening around them. It's also something

0:19:00.840 --> 0:19:03.520
<v Speaker 3>that has accumulated over years. It feels like whether there

0:19:03.520 --> 0:19:06.680
<v Speaker 3>were Republicans or Democrats in the White House are in

0:19:06.800 --> 0:19:09.920
<v Speaker 3>charge in Congress, So is it going to take time

0:19:10.000 --> 0:19:13.159
<v Speaker 3>for us to get this fixed, or do the people

0:19:13.280 --> 0:19:15.040
<v Speaker 3>like I don't know you know. I had a brit

0:19:15.160 --> 0:19:17.080
<v Speaker 3>say to me, you're a young nation. You're going to

0:19:17.119 --> 0:19:20.679
<v Speaker 3>have some kind of uprising, a revolution, Like, I don't know,

0:19:20.720 --> 0:19:25.240
<v Speaker 3>how do you I understand policymakers going at this, but

0:19:25.800 --> 0:19:27.679
<v Speaker 3>it seems like it's a big task.

0:19:28.560 --> 0:19:28.760
<v Speaker 8>Yeah.

0:19:28.800 --> 0:19:31.239
<v Speaker 10>I think those at the top ignore the impatience at

0:19:31.240 --> 0:19:35.359
<v Speaker 10>the bottom. Time moves very slowly when you lack confidence.

0:19:35.920 --> 0:19:40.240
<v Speaker 10>And I also think that those at the top are

0:19:40.320 --> 0:19:44.280
<v Speaker 10>largely blind to the human experience at the bottom, and

0:19:44.320 --> 0:19:47.120
<v Speaker 10>at the same time, those at the bottom are all

0:19:47.200 --> 0:19:50.560
<v Speaker 10>too aware of the abundance that exists above them.

0:19:50.800 --> 0:19:53.600
<v Speaker 4>Thanks to Peter Atwater, president of Financial Insights and adjunct

0:19:53.680 --> 0:19:56.399
<v Speaker 4>lecture of Economics at the College of William and Mary.

0:19:56.200 --> 0:19:59.359
<v Speaker 3>Coming up, how one auto parts manufacturer is faring under

0:19:59.400 --> 0:20:00.639
<v Speaker 3>the president tariffs.

0:20:00.800 --> 0:20:03.879
<v Speaker 4>The CEO of Magna International is next. You're listening to

0:20:03.880 --> 0:20:06.399
<v Speaker 4>Bloomberg Business Week. This is Bloomberg.

0:20:08.520 --> 0:20:12.520
<v Speaker 2>You're listening to the Bloomberg Business Weekdaily Podcast. Catch us

0:20:12.600 --> 0:20:16.040
<v Speaker 2>live weekday afternoons from two to five pm Eastern. Listen

0:20:16.080 --> 0:20:18.800
<v Speaker 2>on Apple CarPlay and the Android Auto with the Bloomberg

0:20:18.880 --> 0:20:22.639
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0:20:22.960 --> 0:20:27.919
<v Speaker 3>When Magna International reported earnings on Halloween, shares. The autoparts

0:20:27.920 --> 0:20:30.240
<v Speaker 3>manufacturer rallied as much as seven percent inter day in

0:20:30.280 --> 0:20:33.639
<v Speaker 3>response to third quarter sales and adjusted EPs beats. Magna

0:20:33.640 --> 0:20:37.720
<v Speaker 3>management also raised its fiscal year sales forecast thanks to

0:20:37.800 --> 0:20:39.880
<v Speaker 3>strengthen North America and China. There was a lot going on.

0:20:40.160 --> 0:20:43.400
<v Speaker 3>Company based in Canada, biggest automotive supplier of North America.

0:20:43.440 --> 0:20:48.199
<v Speaker 3>Everything from automated driving control modules, powertrains, lighting mirrors, complete

0:20:48.200 --> 0:20:51.280
<v Speaker 3>engineering systems, so much. It is a great, great, great

0:20:51.359 --> 0:20:53.840
<v Speaker 3>read on the auto economy.

0:20:54.280 --> 0:20:57.040
<v Speaker 4>Back with us is Swami Coda Geary, president and CEO

0:20:57.200 --> 0:21:00.880
<v Speaker 4>of nearly fourteen billion dollar market cap autoparts maker Magna International.

0:21:00.960 --> 0:21:03.640
<v Speaker 4>The stock up close to eighteen percent so far this year.

0:21:04.119 --> 0:21:05.880
<v Speaker 4>I want to start with kind of where we left

0:21:05.920 --> 0:21:08.080
<v Speaker 4>off when we spoke to you back in April. This

0:21:08.240 --> 0:21:11.560
<v Speaker 4>was just after the president's so called Liberation Day tariffs.

0:21:11.840 --> 0:21:15.240
<v Speaker 4>You liken them and the additional cost to drawing upon

0:21:15.280 --> 0:21:19.920
<v Speaker 4>the playbooks from past rotating UAW strikes, COVID, the Great

0:21:19.960 --> 0:21:23.080
<v Speaker 4>Financial Crisis, the Chip crisis all rolled together.

0:21:23.119 --> 0:21:23.919
<v Speaker 6>We were pretty.

0:21:23.640 --> 0:21:26.480
<v Speaker 4>Shocked about those comments because you said it was big.

0:21:26.880 --> 0:21:28.280
<v Speaker 4>Is it still that big.

0:21:28.080 --> 0:21:30.040
<v Speaker 6>Of an impact? Has it been that big of an impact?

0:21:30.400 --> 0:21:33.919
<v Speaker 11>Yes, there has been a lot of dynamic challenges in

0:21:33.960 --> 0:21:36.520
<v Speaker 11>the industry, as you know, and Benny spoke to me

0:21:36.600 --> 0:21:39.359
<v Speaker 11>last year. It was fresh, you know at that time.

0:21:39.880 --> 0:21:41.920
<v Speaker 11>As we sit here and look at it, I think

0:21:42.000 --> 0:21:46.119
<v Speaker 11>our annualized tariff impact is roughly in the range of

0:21:46.119 --> 0:21:49.840
<v Speaker 11>two hundred million. But we continue to work with our team,

0:21:49.880 --> 0:21:53.320
<v Speaker 11>with our customers, with our supply base, and mitigating as

0:21:53.400 --> 0:21:57.800
<v Speaker 11>much as possible, you know, adhering to the USMCA compliance.

0:21:58.240 --> 0:22:01.119
<v Speaker 11>All in all, I think we have been able to

0:22:01.440 --> 0:22:03.880
<v Speaker 11>with a lot of self help, a lot of work

0:22:03.920 --> 0:22:07.520
<v Speaker 11>with our customers, we've been able to bring down that

0:22:07.600 --> 0:22:11.280
<v Speaker 11>impact to roughly ten bass points, which means about thirty

0:22:11.320 --> 0:22:12.840
<v Speaker 11>million for Magna this year.

0:22:13.200 --> 0:22:16.159
<v Speaker 3>So I will say our BI team reacted to our

0:22:16.200 --> 0:22:21.040
<v Speaker 3>Bloomberg intelligence team, Swamy reacted and they said they believe

0:22:21.080 --> 0:22:24.560
<v Speaker 3>that your company's continuous cost cutting and operational excellence could

0:22:24.600 --> 0:22:27.919
<v Speaker 3>further release margin gains in twenty twenty six. And they

0:22:28.000 --> 0:22:30.399
<v Speaker 3>talk about in the US major customers are benefiting from

0:22:30.440 --> 0:22:33.640
<v Speaker 3>a more profitable sales mix, with higher sales and pickups

0:22:33.640 --> 0:22:37.960
<v Speaker 3>and SUVs offsetting lower EV production, which should enhance Magnus

0:22:37.960 --> 0:22:41.639
<v Speaker 3>program economics for upcoming twenty twenty six launches. Do they

0:22:41.640 --> 0:22:42.160
<v Speaker 3>have it right?

0:22:43.440 --> 0:22:46.400
<v Speaker 11>Yes, they do. There's a lot of hard work and

0:22:46.800 --> 0:22:49.520
<v Speaker 11>thanks to the team, there's been a lot of traction

0:22:49.640 --> 0:22:53.040
<v Speaker 11>in our operational activities, including some of the activities that

0:22:53.080 --> 0:22:57.639
<v Speaker 11>you men mentioned cost restructuring, optimizing our operations. We have

0:22:57.800 --> 0:23:02.160
<v Speaker 11>really worked through about forty divisions, inter of restructuring, consolidation,

0:23:02.359 --> 0:23:06.160
<v Speaker 11>bringing things together, and when the mix in the volume

0:23:06.240 --> 0:23:10.320
<v Speaker 11>becomes stable and it comes through, you see profitability going

0:23:10.359 --> 0:23:13.480
<v Speaker 11>to the bottom line, and that has been our focus.

0:23:13.560 --> 0:23:17.080
<v Speaker 11>Cost reduction, margin expansion, and free cash flow generation. We've

0:23:17.119 --> 0:23:20.399
<v Speaker 11>talked about one hundred and fifty basis points over the

0:23:20.480 --> 0:23:23.480
<v Speaker 11>last three years, and I'm glad to say we have

0:23:23.760 --> 0:23:27.040
<v Speaker 11>an additional visibility of thirty five to forty basis points

0:23:27.080 --> 0:23:30.040
<v Speaker 11>going into twenty twenty six. So this is a journey.

0:23:30.040 --> 0:23:32.800
<v Speaker 11>It's never going to stop. In an industry that we

0:23:32.880 --> 0:23:37.160
<v Speaker 11>need to constantly work on improvements. We call them continuous improvements,

0:23:37.160 --> 0:23:39.040
<v Speaker 11>and we're starting to see the result of that.

0:23:39.280 --> 0:23:41.680
<v Speaker 3>But you did talk about demand destruction the short term

0:23:41.680 --> 0:23:44.160
<v Speaker 3>when we talked with you in April, right after Liberation Day.

0:23:44.800 --> 0:23:46.560
<v Speaker 3>How has it played out as bad as you expected?

0:23:46.600 --> 0:23:49.399
<v Speaker 3>And where are we today? Your top customers are who's

0:23:49.400 --> 0:23:52.280
<v Speaker 3>who of the global auto industry. So where are we

0:23:52.359 --> 0:23:55.639
<v Speaker 3>today in that demand destruction? Are we done?

0:23:56.880 --> 0:23:59.639
<v Speaker 11>I wish I could have that crystal ball, But you know,

0:24:00.040 --> 0:24:01.840
<v Speaker 11>the way I look at it is we peaked out

0:24:01.960 --> 0:24:05.200
<v Speaker 11>as our industry in North America about seventeen and a

0:24:05.240 --> 0:24:08.639
<v Speaker 11>half million units. Interestingly, I was looking at the data

0:24:09.040 --> 0:24:11.080
<v Speaker 11>go back twenty years. In two thousand and four two

0:24:11.119 --> 0:24:14.640
<v Speaker 11>thousand and six time frame, North American production volumes were

0:24:14.640 --> 0:24:17.720
<v Speaker 11>somewhere between fifteen to sixteen. We are still at fifteen

0:24:17.760 --> 0:24:21.440
<v Speaker 11>to sixteen million units today. I think the volumes held

0:24:21.520 --> 0:24:24.400
<v Speaker 11>up this year, but I always like to stand back

0:24:24.440 --> 0:24:27.200
<v Speaker 11>a little and see where it was Magna. Magna twenty

0:24:27.280 --> 0:24:29.760
<v Speaker 11>years ago was a twenty billion dollar company. Today we're

0:24:29.800 --> 0:24:32.960
<v Speaker 11>a forty billion dollar company. And it's the result in

0:24:33.000 --> 0:24:35.760
<v Speaker 11>the efforts of the team to continue to gain CPV

0:24:36.400 --> 0:24:40.120
<v Speaker 11>and to diversifire customer base, and that's where our focus

0:24:40.280 --> 0:24:43.119
<v Speaker 11>is right And to your point, though, I hope this

0:24:43.320 --> 0:24:46.000
<v Speaker 11>is the trough. If you look at the average age

0:24:46.040 --> 0:24:50.200
<v Speaker 11>of the fleet, it's pretty high. The inventories are pretty normal.

0:24:50.720 --> 0:24:53.320
<v Speaker 11>So I like to say, you know, there is an

0:24:53.359 --> 0:24:56.439
<v Speaker 11>elasticity of demand that's going to come back looking forward,

0:24:56.480 --> 0:24:59.719
<v Speaker 11>if there is no more externalities like we have had

0:24:59.760 --> 0:25:01.000
<v Speaker 11>in the last four years.

0:25:01.480 --> 0:25:05.760
<v Speaker 4>Your company is based in Ontario. We are curious about

0:25:05.760 --> 0:25:10.680
<v Speaker 4>the US and Canada trade negotiations or lack thereof. Given

0:25:10.680 --> 0:25:13.600
<v Speaker 4>the impasse between the US and Canada, how is that

0:25:14.000 --> 0:25:16.800
<v Speaker 4>affecting your industry and you specifically.

0:25:17.359 --> 0:25:21.600
<v Speaker 11>Yeah, As you know, auto industry is very interdependent ecosystem

0:25:21.640 --> 0:25:26.080
<v Speaker 11>and it's pretty complex in North America, so it has

0:25:26.160 --> 0:25:28.600
<v Speaker 11>been challenging. But I would like to look at Magna

0:25:28.720 --> 0:25:33.920
<v Speaker 11>really as a global company. We have tens of thousands

0:25:33.960 --> 0:25:38.800
<v Speaker 11>of people in Mexico, in Canada and in US, and

0:25:39.119 --> 0:25:42.200
<v Speaker 11>obviously we are following the footprint of our customers, looking

0:25:42.280 --> 0:25:46.159
<v Speaker 11>at the economics, looking at transportation, looking at logistics, and

0:25:46.480 --> 0:25:50.480
<v Speaker 11>that is the competitiveness that ultimately lets you be the

0:25:50.520 --> 0:25:53.080
<v Speaker 11>player that you are. Right, So the focus has been

0:25:53.119 --> 0:25:57.160
<v Speaker 11>on it. Whatever the policy is, If there is certainty

0:25:57.440 --> 0:26:00.640
<v Speaker 11>and visibility to the policy going forward, I think it's

0:26:00.720 --> 0:26:03.240
<v Speaker 11>just going to be a tailwind to everybody, the oidiums

0:26:03.280 --> 0:26:06.080
<v Speaker 11>and the supply base in all but Swami.

0:26:06.160 --> 0:26:08.840
<v Speaker 3>Is it broken the US Canada? I mean it's been

0:26:08.880 --> 0:26:15.560
<v Speaker 3>so intertwined really, the North American global auto supply chain.

0:26:15.640 --> 0:26:20.400
<v Speaker 3>But is it, especially the US and Canada, is it

0:26:21.080 --> 0:26:21.800
<v Speaker 3>changed forever?

0:26:22.880 --> 0:26:26.520
<v Speaker 11>Again, I'm not an international trade policy expert speaking from

0:26:26.760 --> 0:26:27.680
<v Speaker 11>but you have a.

0:26:27.520 --> 0:26:31.680
<v Speaker 3>Great advantage and a great window on how it has

0:26:31.800 --> 0:26:33.560
<v Speaker 3>worked and how it feels today.

0:26:34.080 --> 0:26:38.120
<v Speaker 11>It's definitely been strained, right, There's no question about that.

0:26:38.280 --> 0:26:42.000
<v Speaker 11>But I've lived in this industry for twenty six years,

0:26:42.040 --> 0:26:46.080
<v Speaker 11>and what we're talking today is going to impact maybe

0:26:46.119 --> 0:26:49.600
<v Speaker 11>twenty seven or twenty eight. So we're always looking at

0:26:49.840 --> 0:26:51.840
<v Speaker 11>what we are doing today impacts three or four years

0:26:51.840 --> 0:26:54.080
<v Speaker 11>down the road. What we are doing today has been

0:26:54.480 --> 0:26:57.480
<v Speaker 11>planned and decided three or four years ago, So I

0:26:57.560 --> 0:26:59.800
<v Speaker 11>tend to think a little bit in longer cycles.

0:27:00.840 --> 0:27:01.040
<v Speaker 10>You know.

0:27:01.119 --> 0:27:05.280
<v Speaker 11>I'm still hopeful that the policy is going to get

0:27:05.280 --> 0:27:08.560
<v Speaker 11>to a point where it's mutually beneficial to everyone the president.

0:27:08.560 --> 0:27:10.680
<v Speaker 4>In the past, the President of the US has talked

0:27:10.720 --> 0:27:14.720
<v Speaker 4>about his back and forth in his conversations with executives

0:27:14.720 --> 0:27:17.040
<v Speaker 4>at North American auto companies.

0:27:17.440 --> 0:27:19.640
<v Speaker 6>Have you had conversations with the President or his team,

0:27:21.520 --> 0:27:21.760
<v Speaker 6>We have.

0:27:21.840 --> 0:27:24.320
<v Speaker 11>Had obviously a seat at the table in being able

0:27:24.359 --> 0:27:28.439
<v Speaker 11>to communicate facts that possible impacts, the challenges of the

0:27:28.520 --> 0:27:31.919
<v Speaker 11>industry and what could benefit I always say we are

0:27:31.960 --> 0:27:34.719
<v Speaker 11>able to give an opinion one of the opinions. I

0:27:34.760 --> 0:27:38.600
<v Speaker 11>hope it's a dot on the chart. And definitely we

0:27:38.640 --> 0:27:42.600
<v Speaker 11>have talked to all three regions right expressing what is

0:27:42.640 --> 0:27:44.960
<v Speaker 11>the jobs that we have, what is the investments that

0:27:45.000 --> 0:27:48.480
<v Speaker 11>we have made, and how it could impact r Definitely,

0:27:48.520 --> 0:27:50.680
<v Speaker 11>that is the conversation that's always ongoing.

0:27:50.960 --> 0:27:53.159
<v Speaker 3>Hey, Swammy, one thing we wanted to ask you the

0:27:53.240 --> 0:27:56.200
<v Speaker 3>EV retrenchment that we continue to talk about here at Bloomberg,

0:27:56.240 --> 0:27:58.720
<v Speaker 3>how is it affecting your business and the auto industry

0:27:58.720 --> 0:28:01.320
<v Speaker 3>in general. You've got Fordkinson during killing the F one

0:28:01.400 --> 0:28:04.800
<v Speaker 3>fifty Lightning, Stilantis killing the ram EV, and GM taking

0:28:04.880 --> 0:28:08.240
<v Speaker 3>a one point six billion dollar impairment charge on its

0:28:08.320 --> 0:28:13.399
<v Speaker 3>EV assets. That feels pretty chilling. How is that impacting

0:28:13.480 --> 0:28:13.919
<v Speaker 3>you guys?

0:28:15.400 --> 0:28:18.480
<v Speaker 11>In the past, we've always looked at EV and if

0:28:19.000 --> 0:28:20.800
<v Speaker 11>you look at some of the comments that we've made,

0:28:20.840 --> 0:28:24.320
<v Speaker 11>I think we were a little bit conservative. But definitely

0:28:24.359 --> 0:28:29.119
<v Speaker 11>the North American EV penetration has had an impact on us.

0:28:29.160 --> 0:28:31.760
<v Speaker 11>We came back and talked about the impact of our

0:28:31.800 --> 0:28:35.080
<v Speaker 11>revenue going forward in the August I think of twenty

0:28:35.119 --> 0:28:38.760
<v Speaker 11>twenty four. But the key thing has been how we've

0:28:38.760 --> 0:28:41.480
<v Speaker 11>been able to pivot. We had our peak capex spend

0:28:41.520 --> 0:28:44.640
<v Speaker 11>in twenty three twenty two, we got back to the

0:28:44.680 --> 0:28:48.080
<v Speaker 11>sales to capex ratio. Shows our agility and being able

0:28:48.120 --> 0:28:51.680
<v Speaker 11>to get back, and you know, look at optimizing how

0:28:51.720 --> 0:28:54.080
<v Speaker 11>we can re use some of the capital with the

0:28:54.080 --> 0:28:56.320
<v Speaker 11>help of the customers and so on and so forth.

0:28:56.720 --> 0:28:59.840
<v Speaker 11>But overall, EV, I think in other regions continues and

0:29:00.120 --> 0:29:03.080
<v Speaker 11>as a global company, we see that continuing in China

0:29:03.120 --> 0:29:06.480
<v Speaker 11>and Europe. But when it does come back, and we

0:29:06.560 --> 0:29:09.480
<v Speaker 11>still believe EV is a secular trend, that take rate

0:29:09.600 --> 0:29:12.560
<v Speaker 11>is very different than what we all expected a couple

0:29:12.600 --> 0:29:16.320
<v Speaker 11>of years ago. But with the investments already there, with

0:29:16.440 --> 0:29:20.640
<v Speaker 11>the development that's behind us, and our ability to hit

0:29:20.680 --> 0:29:23.840
<v Speaker 11>whether it's an internal combustion engine or a bav or

0:29:23.880 --> 0:29:27.720
<v Speaker 11>a hybrid, that flexibility in our product line has helped

0:29:27.800 --> 0:29:32.120
<v Speaker 11>us whether the storm pretty well. And I know, I

0:29:32.160 --> 0:29:34.680
<v Speaker 11>think that's what we need to continue to do going forward.

0:29:34.800 --> 0:29:37.320
<v Speaker 4>I know that the decisions you make now are decisions

0:29:37.320 --> 0:29:40.560
<v Speaker 4>for four years from now. So are you changing product

0:29:40.600 --> 0:29:43.560
<v Speaker 4>plans to develop more gas powered vehicles or it helps

0:29:43.680 --> 0:29:45.880
<v Speaker 4>make supplies for more gas powered vehicles?

0:29:46.560 --> 0:29:48.400
<v Speaker 11>Yes, Tim, I think we have had a lot of

0:29:48.960 --> 0:29:54.520
<v Speaker 11>content in obviously the internal combustion engine platforms, right, and

0:29:54.600 --> 0:29:57.600
<v Speaker 11>as some of these programs are delayed or pushed out,

0:29:57.640 --> 0:30:01.080
<v Speaker 11>we continue to get leverage on the existing programs and

0:30:01.120 --> 0:30:03.600
<v Speaker 11>we continue to win. The other thing to note is

0:30:03.640 --> 0:30:06.080
<v Speaker 11>a lot of our products, almost eighty percent of our

0:30:06.120 --> 0:30:09.600
<v Speaker 11>product is propulsion agnostic. That means whether a make a

0:30:09.680 --> 0:30:13.040
<v Speaker 11>mirror or a door, or a structure or a seat,

0:30:13.680 --> 0:30:16.040
<v Speaker 11>we'll make it for whatever propulsion it is.

0:30:16.280 --> 0:30:16.400
<v Speaker 3>Right.

0:30:16.880 --> 0:30:19.480
<v Speaker 11>So, as far as we are flexible and continue to

0:30:19.520 --> 0:30:22.440
<v Speaker 11>do that in our processes, we've been able to take

0:30:22.440 --> 0:30:27.200
<v Speaker 11>advantage of that of that flexibility and gain market and

0:30:27.280 --> 0:30:28.600
<v Speaker 11>continue to grow our revenues.

0:30:28.760 --> 0:30:30.880
<v Speaker 3>So I want me just thirty seconds here, any signs

0:30:30.880 --> 0:30:34.360
<v Speaker 3>of a US recession, a global recession. What's the word

0:30:34.360 --> 0:30:38.360
<v Speaker 3>that you would use to describe the marketplace right now?

0:30:38.400 --> 0:30:38.880
<v Speaker 3>Just quickly?

0:30:39.880 --> 0:30:43.600
<v Speaker 11>Yeah, I think there is signs of stress, I would say,

0:30:43.640 --> 0:30:47.480
<v Speaker 11>And obviously that puts us all us on a cautionary foot.

0:30:48.400 --> 0:30:51.200
<v Speaker 11>But like I said, from an auto industry, the inventory

0:30:51.240 --> 0:30:55.360
<v Speaker 11>seem normal. The average age of the fleet is pretty high,

0:30:55.400 --> 0:30:58.560
<v Speaker 11>so we are looking for auto demand not to be

0:30:58.680 --> 0:31:01.640
<v Speaker 11>impacted that much. We've still remained very cautious.

0:31:01.760 --> 0:31:04.800
<v Speaker 4>That was Swami Koda Gharri, President and chief executive officer

0:31:05.000 --> 0:31:06.280
<v Speaker 4>of Magna International.

0:31:06.440 --> 0:31:08.160
<v Speaker 3>I really do love talking with him Tim, because we

0:31:08.200 --> 0:31:10.880
<v Speaker 3>get a great read on the global supply chain. I

0:31:10.880 --> 0:31:14.280
<v Speaker 3>mean auto If you think about how many different countries

0:31:14.280 --> 0:31:16.960
<v Speaker 3>have been involved, how many times there you know different

0:31:16.960 --> 0:31:21.360
<v Speaker 3>parts might be crossing borders. It's really complicated. It involves

0:31:21.360 --> 0:31:23.880
<v Speaker 3>a lot of pieces, and he really gets into it

0:31:23.880 --> 0:31:24.600
<v Speaker 3>and understands it.

0:31:24.840 --> 0:31:25.080
<v Speaker 8>Yeah.

0:31:25.080 --> 0:31:29.120
<v Speaker 4>He also understands that in order to make decisions for

0:31:29.200 --> 0:31:31.840
<v Speaker 4>the next few years, he has to do them now,

0:31:32.000 --> 0:31:34.640
<v Speaker 4>So he talks a lot to us about Okay, if

0:31:34.640 --> 0:31:36.480
<v Speaker 4>this is what we're going to do in twenty thirty,

0:31:36.800 --> 0:31:38.920
<v Speaker 4>this is the decision we need to make right now.

0:31:39.280 --> 0:31:41.880
<v Speaker 4>And one area that I think has sold a lot

0:31:41.880 --> 0:31:43.920
<v Speaker 4>of confusion, not just for automakers but for the parts

0:31:43.920 --> 0:31:45.880
<v Speaker 4>suppliers is the fate of ebs.

0:31:45.880 --> 0:31:46.640
<v Speaker 6>At least here in the AA.

0:31:46.720 --> 0:31:48.720
<v Speaker 4>Love that you went there because this you know, five

0:31:48.800 --> 0:31:51.880
<v Speaker 4>years ago they couldn't make evs fast enough. Fast forward

0:31:51.920 --> 0:31:54.880
<v Speaker 4>to today, it's like, Okay, well, what does demand look like,

0:31:55.000 --> 0:31:58.240
<v Speaker 4>what does adoption look like? And how does that reset

0:31:58.280 --> 0:32:00.720
<v Speaker 4>what these auto companies are doing terms of what they're

0:32:00.720 --> 0:32:02.600
<v Speaker 4>offering to consumers. And when they're offering it.

0:32:02.640 --> 0:32:05.000
<v Speaker 3>But what's interesting is right he is taking the longer

0:32:05.120 --> 0:32:08.160
<v Speaker 3>term perspective. And if you look outside the United States,

0:32:08.240 --> 0:32:12.120
<v Speaker 3>I mean China or elsewhere ev you know, people are

0:32:12.120 --> 0:32:15.160
<v Speaker 3>buying electric vehicles and so I think he's going on

0:32:15.160 --> 0:32:19.200
<v Speaker 3>the assumption that that's the future. And so love getting

0:32:19.200 --> 0:32:19.840
<v Speaker 3>his perspective.

0:32:20.080 --> 0:32:22.600
<v Speaker 4>I always love getting his perspective. We also love getting

0:32:22.600 --> 0:32:25.160
<v Speaker 4>the perspective of the CEO of Axon Enterprise. He's going

0:32:25.200 --> 0:32:26.680
<v Speaker 4>to join us next Yeah.

0:32:26.520 --> 0:32:29.320
<v Speaker 3>It's the company best known for tasers. His stock has

0:32:29.320 --> 0:32:32.240
<v Speaker 3>been on fire over the past decade, but it recently.

0:32:32.600 --> 0:32:35.360
<v Speaker 3>I got to say the company did catch investors off

0:32:35.400 --> 0:32:37.960
<v Speaker 3>guard with earnings and another acquisition.

0:32:38.320 --> 0:32:39.440
<v Speaker 6>This is Bloomberg.

0:32:41.400 --> 0:32:45.240
<v Speaker 2>This is the Bloomberg Business Week Daily podcast. Listen live

0:32:45.360 --> 0:32:48.239
<v Speaker 2>each weekday starting at two pm Eastern on Apple car

0:32:48.320 --> 0:32:51.200
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0:32:51.240 --> 0:32:54.000
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0:32:54.040 --> 0:32:58.480
<v Speaker 2>flagship New York station Just Say Alexa played Bloomberg eleven thirty.

0:33:00.080 --> 0:33:03.080
<v Speaker 3>Earlier this month. Axon Enterprise, it's a company known for

0:33:03.160 --> 0:33:07.080
<v Speaker 3>making tasers, missed analyst estimates for third quarter profit after

0:33:07.120 --> 0:33:10.240
<v Speaker 3>it reported higher costs resulting from the implementation of tariffs.

0:33:10.240 --> 0:33:13.720
<v Speaker 3>Now that sent it shares slumping twenty percent and extended

0:33:13.760 --> 0:33:18.280
<v Speaker 3>trading despite reporting record revenues. So investors definitely turned sour

0:33:18.360 --> 0:33:19.080
<v Speaker 3>on that report.

0:33:19.160 --> 0:33:21.720
<v Speaker 4>On top of that, Axon agreed to buy emergency tech

0:33:21.760 --> 0:33:24.479
<v Speaker 4>company Carbine. That's a deal valuing the company at six

0:33:24.600 --> 0:33:27.440
<v Speaker 4>hundred and twenty five million dollars. Still, it is worth

0:33:27.480 --> 0:33:29.800
<v Speaker 4>noting that stock got more than thirty three one hundred

0:33:29.800 --> 0:33:32.800
<v Speaker 4>percent since the end of twenty fifteen. That was when

0:33:32.840 --> 0:33:34.680
<v Speaker 4>Axon was just seventeen dollars.

0:33:34.840 --> 0:33:38.480
<v Speaker 3>Yeah, it's not a seventeen dollars stock anymore. In fact,

0:33:38.920 --> 0:33:40.520
<v Speaker 3>you know, when you look at it on the Bloomberg

0:33:40.560 --> 0:33:43.720
<v Speaker 3>this is a stock that now trades at about five

0:33:43.800 --> 0:33:46.240
<v Speaker 3>hundred and seventy dollars this share. So, as we said,

0:33:46.240 --> 0:33:48.680
<v Speaker 3>it's been on fire, but investors a little bit of

0:33:48.680 --> 0:33:51.000
<v Speaker 3>a rethink from more. We caught up with the CEO

0:33:51.040 --> 0:33:54.320
<v Speaker 3>of Axon, Rick Smith. He is still feeling optimistic.

0:33:54.360 --> 0:33:56.680
<v Speaker 5>Yeah, I'd say the business is the strongest it has

0:33:56.760 --> 0:33:59.760
<v Speaker 5>ever been. You know, it's a public CEO for like

0:34:00.000 --> 0:34:02.240
<v Speaker 5>twenty four years now, and this is the fifth time

0:34:02.520 --> 0:34:05.520
<v Speaker 5>we've come in reported the business with really strong operating

0:34:05.560 --> 0:34:08.759
<v Speaker 5>results and then the stock drops. So I just tell

0:34:08.800 --> 0:34:11.560
<v Speaker 5>our people don't even look at the stock price like

0:34:11.640 --> 0:34:13.400
<v Speaker 5>it's going to move around for a bunch of factors.

0:34:13.400 --> 0:34:16.200
<v Speaker 5>Where we stay focused is building the long term business

0:34:16.600 --> 0:34:19.120
<v Speaker 5>and every previous time it's recovered and we're going to

0:34:19.160 --> 0:34:22.040
<v Speaker 5>stick with that playbook. And if you look at where

0:34:22.120 --> 0:34:24.480
<v Speaker 5>we're growing from some of our new investments, you know,

0:34:24.520 --> 0:34:28.040
<v Speaker 5>from counter drone and fuse this real time crime centers

0:34:28.040 --> 0:34:30.560
<v Speaker 5>and artificial intelligence, our bookings in those areas are up

0:34:30.960 --> 0:34:33.360
<v Speaker 5>almost triple year over year. And then we just announced

0:34:33.360 --> 0:34:36.160
<v Speaker 5>two new acquisitions that is our entry into them mission

0:34:36.160 --> 0:34:39.239
<v Speaker 5>critical voice space, which we think is going to be

0:34:39.640 --> 0:34:41.440
<v Speaker 5>a huge opportunity over the next decade.

0:34:41.520 --> 0:34:43.600
<v Speaker 4>So what are you guys seeing that investors and analysts

0:34:43.640 --> 0:34:46.120
<v Speaker 4>are not seeing because the narrative that you have and

0:34:46.400 --> 0:34:49.800
<v Speaker 4>your tone doesn't necessarily match the reaction from the street.

0:34:51.280 --> 0:34:53.759
<v Speaker 5>Yeah, I mean part of this excuse me was we

0:34:53.800 --> 0:34:57.440
<v Speaker 5>did have a gap operating loss, a tiny one, but

0:34:57.480 --> 0:35:00.360
<v Speaker 5>that's largely because we have this very unique stock in

0:35:00.440 --> 0:35:03.319
<v Speaker 5>center program we call the Exponential Stock Plan, and all

0:35:03.360 --> 0:35:07.280
<v Speaker 5>of our employees participate. And when the stock does really

0:35:07.280 --> 0:35:11.200
<v Speaker 5>well and we're hitting our operating targets, stock comp goes up,

0:35:11.440 --> 0:35:14.919
<v Speaker 5>and so paradoxically, the better the operating business does, the

0:35:14.960 --> 0:35:17.359
<v Speaker 5>more stock comp goes up. And that was the biggest mover.

0:35:17.840 --> 0:35:20.239
<v Speaker 5>But if you look at the adjusted EBIT data, if

0:35:20.280 --> 0:35:22.799
<v Speaker 5>you take that noise out, you know we managed to

0:35:22.800 --> 0:35:25.800
<v Speaker 5>turn in. We've got like seven consecutive quarters over thirty

0:35:25.840 --> 0:35:28.880
<v Speaker 5>percent top line growth, and we turned in right at

0:35:28.920 --> 0:35:31.840
<v Speaker 5>twenty five percent or twenty four point nine adjusted EBITDA

0:35:32.120 --> 0:35:34.640
<v Speaker 5>while maintaining the growth rate. And if you listen to

0:35:34.719 --> 0:35:36.440
<v Speaker 5>our president, who used to be the head of sales,

0:35:36.719 --> 0:35:39.080
<v Speaker 5>is very close to the customer. You know, he was

0:35:39.120 --> 0:35:41.680
<v Speaker 5>pretty bullish on our conference called telling people we think

0:35:41.719 --> 0:35:44.520
<v Speaker 5>the fourth quarter is going to be a monster from

0:35:44.560 --> 0:35:47.200
<v Speaker 5>a bookings perspective. So we're feeling really good, all right.

0:35:47.200 --> 0:35:48.799
<v Speaker 3>I want to come back to that monster for the

0:35:48.800 --> 0:35:50.719
<v Speaker 3>fourth quarter in terms of bookings. But I want to

0:35:50.760 --> 0:35:52.759
<v Speaker 3>say that you know, Rick, you get this. You've been

0:35:52.760 --> 0:35:54.239
<v Speaker 3>a CEO for a long time. When you're kind of

0:35:54.280 --> 0:35:57.799
<v Speaker 3>price for perfection, you know, investors can be like, well

0:35:57.800 --> 0:36:01.759
<v Speaker 3>wait a minute, citizens an investor there, Trevor Walsh said

0:36:01.800 --> 0:36:03.680
<v Speaker 3>the company had little room for error in its report.

0:36:03.719 --> 0:36:07.279
<v Speaker 3>It made investors' concerns about valuations. Stock trades at three

0:36:07.360 --> 0:36:11.000
<v Speaker 3>hundred and ninety eight times current earnings or nearly ninety

0:36:11.040 --> 0:36:13.800
<v Speaker 3>four times future earnings. You've got a forty seven billion

0:36:13.840 --> 0:36:17.000
<v Speaker 3>dollar market cap with projected twenty twenty five earnings of

0:36:17.000 --> 0:36:21.320
<v Speaker 3>two point seven billion, So your price to sales or

0:36:21.360 --> 0:36:22.960
<v Speaker 3>at least there are in terms of your market app

0:36:23.719 --> 0:36:26.680
<v Speaker 3>you know, expectations. I mean, there's there's a lot there

0:36:26.920 --> 0:36:29.920
<v Speaker 3>that they expect everything to kind of just hit perfectly.

0:36:30.440 --> 0:36:33.000
<v Speaker 3>There's also concerns about tyrists of the government shutdown. There's

0:36:33.040 --> 0:36:35.920
<v Speaker 3>also concerns that you just did a second acquisition here

0:36:36.560 --> 0:36:38.799
<v Speaker 3>less than two months after you did that agreement to

0:36:38.920 --> 0:36:42.880
<v Speaker 3>acquire Prepared, which was an AI powered emergency communications platform.

0:36:42.960 --> 0:36:46.920
<v Speaker 3>So why is that valuation or why is that you know,

0:36:47.719 --> 0:36:49.880
<v Speaker 3>market cap versus sales justified?

0:36:51.080 --> 0:36:53.520
<v Speaker 5>Well, first, i'd probably get a note from my general

0:36:53.560 --> 0:36:55.759
<v Speaker 5>counsel telling me not to use words like monster when

0:36:55.800 --> 0:36:57.040
<v Speaker 5>talking about future performance.

0:36:57.680 --> 0:37:00.359
<v Speaker 3>Really, come back, is your phone going off right now

0:37:00.360 --> 0:37:00.799
<v Speaker 3>next to you?

0:37:01.280 --> 0:37:01.640
<v Speaker 9>Yeah?

0:37:01.760 --> 0:37:04.840
<v Speaker 5>Yeah, it probably is. But look, the core business is

0:37:04.880 --> 0:37:07.560
<v Speaker 5>really strong. Gap EPs is a really hard way to

0:37:07.640 --> 0:37:10.680
<v Speaker 5>value the business. Because I talked about the stronger the

0:37:10.680 --> 0:37:13.640
<v Speaker 5>operating business, the more gap EPs gets punished with stock

0:37:13.880 --> 0:37:16.120
<v Speaker 5>competition to expense, so I think something like looking at

0:37:16.320 --> 0:37:18.719
<v Speaker 5>a multiple of revenue is probably a little more like

0:37:19.760 --> 0:37:22.279
<v Speaker 5>gonna be a little more instructive. But look, yes, there

0:37:22.440 --> 0:37:25.279
<v Speaker 5>we are valued as a growing company that's got to

0:37:25.320 --> 0:37:29.600
<v Speaker 5>continue to deliver, and we've been delivering. I think we've had,

0:37:29.640 --> 0:37:32.080
<v Speaker 5>like I said, seven quarters of over thirty percent growth

0:37:32.480 --> 0:37:34.560
<v Speaker 5>and it's our job as a management team to keep

0:37:34.560 --> 0:37:37.080
<v Speaker 5>delivering on that. And you know, if the stock takes

0:37:37.080 --> 0:37:40.040
<v Speaker 5>a breather, you know that's kind of outside our control

0:37:40.080 --> 0:37:42.160
<v Speaker 5>and you don't have an optimist. It creates a great

0:37:42.280 --> 0:37:44.360
<v Speaker 5>entry point for some of our long term investors, and

0:37:44.400 --> 0:37:46.440
<v Speaker 5>we're just going to keep chugging away working on the

0:37:46.480 --> 0:37:48.239
<v Speaker 5>business to make sure we keep growing. And those two

0:37:48.280 --> 0:37:51.200
<v Speaker 5>new acquisitions they're a big piece of it. We made

0:37:51.200 --> 0:37:53.800
<v Speaker 5>a very strategic move to move into mission critical voice.

0:37:53.800 --> 0:37:57.200
<v Speaker 5>We think AI plus voice now is a very magical

0:37:57.239 --> 0:37:59.359
<v Speaker 5>moment and there's a lot of AI hype out there,

0:37:59.400 --> 0:38:01.800
<v Speaker 5>but look, ten percent of our core business bookings this

0:38:01.920 --> 0:38:04.359
<v Speaker 5>year are going to be on our AI services, so

0:38:04.600 --> 0:38:07.439
<v Speaker 5>we're really delivering value to our customers and we see

0:38:07.520 --> 0:38:09.320
<v Speaker 5>doing that in nine to one one call centers and

0:38:09.320 --> 0:38:12.040
<v Speaker 5>then extending across You know, any sort of mission critical

0:38:12.080 --> 0:38:14.360
<v Speaker 5>voice communication is going to be a huge business, and

0:38:14.400 --> 0:38:17.520
<v Speaker 5>we found two very complementary businesses. Prepared allows us to

0:38:17.520 --> 0:38:20.440
<v Speaker 5>go fast into any nine one own call center, and

0:38:20.480 --> 0:38:23.600
<v Speaker 5>then Carbine allows those customers to then go deep and

0:38:23.680 --> 0:38:25.480
<v Speaker 5>get out of the business of running all the hardware

0:38:25.520 --> 0:38:28.400
<v Speaker 5>and move their entire nine one one infrastructure to the cloud.

0:38:28.480 --> 0:38:30.160
<v Speaker 5>And those two together, we think are like chocolate and

0:38:30.160 --> 0:38:32.480
<v Speaker 5>peanut butter. It's gonna be a great combo.

0:38:32.560 --> 0:38:34.120
<v Speaker 3>Well, I do want to ask you about those monster

0:38:34.120 --> 0:38:36.799
<v Speaker 3>bookings for the fourth quarter. But having said that, tell

0:38:36.840 --> 0:38:38.600
<v Speaker 3>us about you said ten percent of the bookings this

0:38:38.719 --> 0:38:41.279
<v Speaker 3>year are going to be on AI services. You know

0:38:41.440 --> 0:38:43.759
<v Speaker 3>how much is still Tasers like, give us an idea

0:38:43.760 --> 0:38:45.680
<v Speaker 3>of what the business is today and kind of where

0:38:45.719 --> 0:38:48.040
<v Speaker 3>you guys are positioning it, especially as you take on

0:38:48.080 --> 0:38:48.919
<v Speaker 3>these acquisitions.

0:38:49.880 --> 0:38:50.239
<v Speaker 9>Got it.

0:38:50.239 --> 0:38:53.640
<v Speaker 5>Well, I'm terrible in details, but I can tell you

0:38:53.680 --> 0:38:57.279
<v Speaker 5>the Taser business is. It continues to grow, even though

0:38:57.280 --> 0:38:59.319
<v Speaker 5>it is a fairly mature business in the US, where

0:38:59.320 --> 0:39:02.080
<v Speaker 5>the real opportunity is our new Taser ten. For the

0:39:02.160 --> 0:39:04.040
<v Speaker 5>first time, we have a weapon that some of our

0:39:04.080 --> 0:39:06.799
<v Speaker 5>customers in Europe were saying is a better weapon for

0:39:06.880 --> 0:39:10.160
<v Speaker 5>their officers than even a handgun. And if we can

0:39:10.239 --> 0:39:12.319
<v Speaker 5>prove that out this winter, we'll be testing it above

0:39:12.360 --> 0:39:15.720
<v Speaker 5>the Arctic Circle and heavy cold conditions with heavy clothing,

0:39:15.719 --> 0:39:18.719
<v Speaker 5>which is our historically been our Achilles heel. If we

0:39:18.760 --> 0:39:22.320
<v Speaker 5>succeed there, we could see Taser really become a driving

0:39:22.360 --> 0:39:25.120
<v Speaker 5>force across Europe and the rest of the world outside

0:39:25.120 --> 0:39:27.520
<v Speaker 5>of the US. So, even though it's been our core

0:39:27.560 --> 0:39:29.880
<v Speaker 5>business from the beginning, Taser we think could be the

0:39:29.880 --> 0:39:32.920
<v Speaker 5>growth engine that pulls body cameras, drones, AI and all

0:39:32.920 --> 0:39:34.640
<v Speaker 5>our other services right along with it.

0:39:34.680 --> 0:39:36.640
<v Speaker 4>Well, let's talk about those other services, because if I

0:39:36.680 --> 0:39:39.600
<v Speaker 4>go back into your earnings and look at twenty seventeen,

0:39:39.880 --> 0:39:42.359
<v Speaker 4>connected devices account for close to seventy percent of your

0:39:42.400 --> 0:39:45.440
<v Speaker 4>total revenue. Software and services was just over thirty percent

0:39:45.440 --> 0:39:48.880
<v Speaker 4>of revenue. If we fast forward to just in recent years,

0:39:49.040 --> 0:39:51.920
<v Speaker 4>last year that pretty much flipped, where connected devices was

0:39:51.960 --> 0:39:54.520
<v Speaker 4>forty percent and software and services is now close to

0:39:54.560 --> 0:39:58.560
<v Speaker 4>sixty one percent of your business. How big does software

0:39:58.560 --> 0:39:59.359
<v Speaker 4>and services get?

0:39:59.400 --> 0:40:00.759
<v Speaker 6>What's the old goal there?

0:40:01.760 --> 0:40:03.680
<v Speaker 5>Well, that's sort of like asking me which of my

0:40:03.800 --> 0:40:04.760
<v Speaker 5>children is my favorite?

0:40:04.800 --> 0:40:05.839
<v Speaker 11>I love them all, but I.

0:40:05.760 --> 0:40:08.680
<v Speaker 6>Mean one of those has a higher margin. Right, Oh, yeah,

0:40:08.680 --> 0:40:09.680
<v Speaker 6>one has a higher margin.

0:40:09.719 --> 0:40:12.600
<v Speaker 5>But when you can do hardware and software together, when

0:40:12.600 --> 0:40:15.279
<v Speaker 5>you can do body cameras, drones in card cameras and

0:40:15.400 --> 0:40:17.960
<v Speaker 5>the software layer, you can just do so much more

0:40:18.000 --> 0:40:20.040
<v Speaker 5>magical things for the customer than if you're a pure

0:40:20.080 --> 0:40:20.719
<v Speaker 5>software play.

0:40:20.880 --> 0:40:21.080
<v Speaker 6>Chah.

0:40:21.200 --> 0:40:24.120
<v Speaker 5>Investors love the software revenue and margins, and so do we.

0:40:24.520 --> 0:40:27.480
<v Speaker 5>But the hardware is also growing and really contributing. And

0:40:27.520 --> 0:40:29.680
<v Speaker 5>it's when you bring it all together that we think

0:40:29.719 --> 0:40:32.360
<v Speaker 5>the magic happens. And that's our real competitive advantage.

0:40:32.480 --> 0:40:33.719
<v Speaker 3>Hey, one of the things I want to ask you

0:40:33.800 --> 0:40:36.960
<v Speaker 3>about is there's been a bunch of reporting. There's a

0:40:37.000 --> 0:40:40.200
<v Speaker 3>story about Flock Safety, which is one of your competitors,

0:40:40.239 --> 0:40:43.319
<v Speaker 3>to be fair, and what's interesting is, I guess you

0:40:43.360 --> 0:40:47.640
<v Speaker 3>guys are all doing deals with the Amazon ring and

0:40:47.680 --> 0:40:51.440
<v Speaker 3>this camera, and you know footage is certainly being shared

0:40:51.640 --> 0:40:55.560
<v Speaker 3>with law enforcement, whether it's ice and others. Again, there's

0:40:55.600 --> 0:40:58.560
<v Speaker 3>a lot of reporting that's being done about this, and

0:40:58.600 --> 0:41:01.759
<v Speaker 3>at the same time some community backlash. So are you

0:41:01.920 --> 0:41:06.640
<v Speaker 3>concerned about community pushback as we have more and more

0:41:06.680 --> 0:41:08.759
<v Speaker 3>surveillance that is out there and that is a big

0:41:08.800 --> 0:41:09.600
<v Speaker 3>part of your business.

0:41:10.800 --> 0:41:13.520
<v Speaker 5>So that's one reason We're really proud of the approach

0:41:13.560 --> 0:41:16.360
<v Speaker 5>we take. We have an Equity and Ethics Advisory Council

0:41:16.600 --> 0:41:20.760
<v Speaker 5>that is comprised of people from communities of concern, particularly

0:41:20.760 --> 0:41:22.719
<v Speaker 5>black and brown communities. Right if we're really talking about

0:41:22.760 --> 0:41:26.920
<v Speaker 5>over policing, I think that's the communities of most concerns.

0:41:27.120 --> 0:41:31.120
<v Speaker 5>All of our approaches, we run through this ethics review

0:41:31.320 --> 0:41:34.360
<v Speaker 5>upfront with people that are n actually very concerned and

0:41:34.400 --> 0:41:37.719
<v Speaker 5>skeptical on these issues, and we build safeguards in that

0:41:37.800 --> 0:41:42.120
<v Speaker 5>help minimize the risk of abuse while maximize the opportunity. Look,

0:41:42.600 --> 0:41:44.719
<v Speaker 5>when a private consumer buys a camera to keep their

0:41:44.719 --> 0:41:47.480
<v Speaker 5>home safe, they're buying and not to watch their dog

0:41:47.520 --> 0:41:49.600
<v Speaker 5>in their at work. They want to stop criminals from

0:41:49.640 --> 0:41:51.839
<v Speaker 5>stealing their stuff breaking into their house. I actually had

0:41:51.840 --> 0:41:55.120
<v Speaker 5>a vehicle stolen years ago, and it took me days

0:41:55.160 --> 0:41:57.759
<v Speaker 5>to get the video from my home security system to

0:41:57.800 --> 0:41:59.719
<v Speaker 5>the police. What we're doing with the ring and by

0:41:59.719 --> 0:42:02.880
<v Speaker 5>the way, we encourage open sharing standards like sharing with

0:42:02.920 --> 0:42:05.799
<v Speaker 5>our competitors. We openly share on a reciprocal basis with

0:42:05.880 --> 0:42:09.120
<v Speaker 5>our competitors. We think this is like doing the right thing.

0:42:10.000 --> 0:42:12.279
<v Speaker 5>With all these cameras out there, we should be using

0:42:12.320 --> 0:42:14.919
<v Speaker 5>them to deter crime and criminal activity, and we think

0:42:14.960 --> 0:42:18.200
<v Speaker 5>you can do that without having to track everybody, you know,

0:42:18.239 --> 0:42:20.799
<v Speaker 5>where they go to in their personal lives. We're talking

0:42:20.800 --> 0:42:25.080
<v Speaker 5>about detecting dangerous criminal acts and detoring those acts in

0:42:25.120 --> 0:42:25.720
<v Speaker 5>the first place.

0:42:26.080 --> 0:42:29.000
<v Speaker 4>So that's with a lot of local law enforcement agencies.

0:42:29.000 --> 0:42:31.319
<v Speaker 4>And I'm curious about the conversations that you have at

0:42:31.360 --> 0:42:34.120
<v Speaker 4>the federal level with the Department of Homeland Security, for example,

0:42:35.160 --> 0:42:37.840
<v Speaker 4>and the way that their officers do or do not

0:42:38.000 --> 0:42:40.520
<v Speaker 4>use your products. What are the conversations that you have

0:42:40.760 --> 0:42:42.520
<v Speaker 4>at the federal level with DHS.

0:42:43.480 --> 0:42:47.120
<v Speaker 5>Yeah, we certainly work with the federal agencies as well,

0:42:47.400 --> 0:42:49.800
<v Speaker 5>and I think where there is some controversy, it's like, look,

0:42:50.080 --> 0:42:53.120
<v Speaker 5>people have different perspectives in different states and in different cities,

0:42:53.360 --> 0:42:55.719
<v Speaker 5>and our system is built so they're like, hey, if

0:42:55.760 --> 0:42:59.160
<v Speaker 5>you are, you know, a city in a very deep

0:42:59.200 --> 0:43:03.320
<v Speaker 5>progressive you can choose who and how you share your data.

0:43:03.600 --> 0:43:05.960
<v Speaker 5>And look, if you're in a border town in a

0:43:06.000 --> 0:43:08.360
<v Speaker 5>red state and you want to be more collaborative with

0:43:08.400 --> 0:43:11.279
<v Speaker 5>those federal agencies, one thing I'll tell you it's not

0:43:11.600 --> 0:43:16.279
<v Speaker 5>our position to try to dictate how government customers and

0:43:16.280 --> 0:43:18.840
<v Speaker 5>that's who we sell to. We're a private corporation shouldn't

0:43:18.840 --> 0:43:21.720
<v Speaker 5>be telling government how to how to use their own data.

0:43:21.800 --> 0:43:24.040
<v Speaker 5>But what we do is we enable them to make

0:43:24.080 --> 0:43:26.839
<v Speaker 5>decisions so those elected officials can be responsive to their

0:43:26.920 --> 0:43:29.759
<v Speaker 5>voters and we can be responsive to their communities.

0:43:30.760 --> 0:43:33.880
<v Speaker 3>One last question, two acquisitions in as many months, is

0:43:33.920 --> 0:43:34.560
<v Speaker 3>there more to come?

0:43:36.080 --> 0:43:38.960
<v Speaker 5>We're probably going to take a little breather here. We

0:43:38.960 --> 0:43:41.359
<v Speaker 5>were not expecting when we went into this. We thought

0:43:41.360 --> 0:43:43.959
<v Speaker 5>we would make one acquisition, but we found that these

0:43:44.000 --> 0:43:47.920
<v Speaker 5>two were really so complimentary that, you know, sometimes you

0:43:48.040 --> 0:43:51.239
<v Speaker 5>got to move quickly when opportunity knocks, and so, yeah,

0:43:51.239 --> 0:43:54.560
<v Speaker 5>this was unexpected, but we're really excited about it.

0:43:54.719 --> 0:43:58.160
<v Speaker 4>That was Rick Smith, the founder and CEO of Axon Enterprise.

0:43:57.800 --> 0:43:59.279
<v Speaker 3>And that wraps up our first hour of the weekend

0:43:59.400 --> 0:44:01.960
<v Speaker 3>edition of Bloomberg Business Week Daily from Bloomberg radio Head.

0:44:01.960 --> 0:44:04.520
<v Speaker 3>In our next hour, the dangers of social media and

0:44:04.640 --> 0:44:07.560
<v Speaker 3>the urgent need to protect its youngest users.

0:44:07.840 --> 0:44:11.040
<v Speaker 4>It's all in, Can't look away, The Case Against Social Media,

0:44:11.160 --> 0:44:14.440
<v Speaker 4>a Bloomberg original investigation produced and directed by an Emmy

0:44:14.440 --> 0:44:18.399
<v Speaker 4>Award winning film duo. Plus many Americans are getting their

0:44:18.400 --> 0:44:22.879
<v Speaker 4>calories from ultra processed foods. Not just adults, but kids, too.

0:44:23.280 --> 0:44:26.120
<v Speaker 4>How bad is that? And Ken Rfk Junior do anything

0:44:26.120 --> 0:44:26.520
<v Speaker 4>about it?

0:44:26.800 --> 0:44:29.280
<v Speaker 3>And he gave up a career in a London office,

0:44:29.320 --> 0:44:32.239
<v Speaker 3>moved his family to France to make rose and do

0:44:32.280 --> 0:44:34.520
<v Speaker 3>it in a way that is good for the climate

0:44:34.680 --> 0:44:37.480
<v Speaker 3>Mother Earth. Will be joined by the owner of Maison Mirabau.

0:44:37.880 --> 0:44:40.640
<v Speaker 3>This is Bloomberg Business Week. I'm Carol Messer.

0:44:40.480 --> 0:44:41.520
<v Speaker 4>And I'm Krim Stanovic.

0:44:43.239 --> 0:44:47.040
<v Speaker 2>You are listening to the Bloomberg Business Weekdaily podcast. Catch

0:44:47.120 --> 0:44:50.400
<v Speaker 2>us live weekday afternoons from two to five pm Eastern

0:44:50.480 --> 0:44:53.560
<v Speaker 2>Listen on Apple CarPlay and Android Auto with the Bloomberg

0:44:53.600 --> 0:44:57.640
<v Speaker 2>Business app, or watch us live on YouTube plenty.

0:44:57.719 --> 0:44:59.320
<v Speaker 3>Hen in our second hour of the weekend edition of

0:44:59.320 --> 0:45:02.840
<v Speaker 3>Bloomberg Business this week, including the family who moved from

0:45:02.880 --> 0:45:05.000
<v Speaker 3>the UK to Provence to live out the dream of

0:45:05.040 --> 0:45:07.640
<v Speaker 3>owning a vineyard and being in a mission as well

0:45:07.640 --> 0:45:12.480
<v Speaker 3>to make rose wine but in a very environmentally responsible way.

0:45:12.520 --> 0:45:15.399
<v Speaker 3>Stephen Kronk. He's the founder and CEO of Maison Marabou.

0:45:15.560 --> 0:45:18.120
<v Speaker 3>He was back to talk wine, regenerative farming and so

0:45:18.239 --> 0:45:21.040
<v Speaker 3>much more. And well we may have.

0:45:21.719 --> 0:45:23.719
<v Speaker 4>Sampled a little bit, Hey, nothing wrong with that.

0:45:23.840 --> 0:45:25.160
<v Speaker 3>Nope, it was Friday, wasn't it.

0:45:25.160 --> 0:45:29.800
<v Speaker 4>It was I think it was. It was definitely Friday. Well, okay,

0:45:29.840 --> 0:45:32.080
<v Speaker 4>so the wine not ultra process, but we also did

0:45:32.080 --> 0:45:34.480
<v Speaker 4>speak about ultra process foods. This is a danger to

0:45:34.560 --> 0:45:36.919
<v Speaker 4>our bodies and it's what the majority of Americans eat,

0:45:37.360 --> 0:45:41.239
<v Speaker 4>yet not all are unhealthy. Gait what Yeah, we're going

0:45:41.320 --> 0:45:41.720
<v Speaker 4>to explain.

0:45:41.760 --> 0:45:43.319
<v Speaker 3>All right, I'm glad we're going to do that. Hey,

0:45:43.400 --> 0:45:44.960
<v Speaker 3>first up this hour, we do want to highlight a

0:45:44.960 --> 0:45:49.560
<v Speaker 3>Bloomberg Original investigation that exposes the real world consequences of

0:45:49.640 --> 0:45:53.719
<v Speaker 3>harmful social media algorithms. It is Can't Look Away the

0:45:53.800 --> 0:45:56.600
<v Speaker 3>Dangers of Social Media. It is a documentary that follows

0:45:56.600 --> 0:45:59.360
<v Speaker 3>a team of lawyers taking on the big tech giants,

0:45:59.440 --> 0:46:03.080
<v Speaker 3>advocating for families whose children have been deeply impacted by

0:46:03.080 --> 0:46:06.560
<v Speaker 3>social media. Now, the original reporting of Bloomberg News investigative

0:46:06.600 --> 0:46:08.920
<v Speaker 3>reporter Olivia Carvell is throughout this film, but there's a

0:46:08.960 --> 0:46:12.200
<v Speaker 3>lot more reporting too as well. The Bloomberg original investigation

0:46:12.320 --> 0:46:16.719
<v Speaker 3>exposing the real world consequences of harmful social media algorithms.

0:46:17.160 --> 0:46:19.680
<v Speaker 3>These companies have been gaslighting us for years.

0:46:19.880 --> 0:46:21.640
<v Speaker 13>This is all about money.

0:46:21.920 --> 0:46:26.080
<v Speaker 4>The purpose of all commercial adventures is to create a demand.

0:46:26.320 --> 0:46:28.640
<v Speaker 3>Our children are the casualties we need to take back

0:46:28.680 --> 0:46:33.120
<v Speaker 3>the power from these companies. They've created a dangerous situation

0:46:33.600 --> 0:46:35.160
<v Speaker 3>and then manipulated these gives.

0:46:35.440 --> 0:46:39.600
<v Speaker 10>They know the levels of addiction, sexual abuse, they know

0:46:39.840 --> 0:46:41.160
<v Speaker 10>the levels of suicide.

0:46:41.360 --> 0:46:43.799
<v Speaker 9>They're not showing our kids what they want to see.

0:46:44.239 --> 0:46:46.440
<v Speaker 14>They're showing you what they can't look away from.

0:46:46.800 --> 0:46:49.120
<v Speaker 3>And that is the Bloomberg original investigation Can't Look Away,

0:46:49.200 --> 0:46:51.400
<v Speaker 3>the Case against Social Media, which is now available across

0:46:51.440 --> 0:46:54.960
<v Speaker 3>Bloomberg platforms. Perry Pelts and Matt O'Neil are the directors

0:46:54.960 --> 0:46:57.440
<v Speaker 3>and producers of the documentary and they join us here

0:46:57.440 --> 0:47:01.040
<v Speaker 3>in studio. Welcome, Welcome to both of you. I got

0:47:01.080 --> 0:47:03.760
<v Speaker 3>to say we've talked to Olivia a lot about her reporting.

0:47:03.840 --> 0:47:05.080
<v Speaker 3>We know you did as well.

0:47:05.280 --> 0:47:05.520
<v Speaker 8>Perry.

0:47:05.600 --> 0:47:09.000
<v Speaker 3>Let me start with you, when you guys decided, I

0:47:09.040 --> 0:47:11.759
<v Speaker 3>don't know, I guess when you first started reading her reporting.

0:47:11.880 --> 0:47:12.560
<v Speaker 3>What struck you?

0:47:12.960 --> 0:47:14.879
<v Speaker 1>What struck us? And first of all, thank you both

0:47:14.920 --> 0:47:17.359
<v Speaker 1>for having us. We really appreciate it. What struck us

0:47:17.600 --> 0:47:21.440
<v Speaker 1>is that what's happening is these companies are looking at families,

0:47:21.480 --> 0:47:24.000
<v Speaker 1>at kids and parents and putting the blame on them.

0:47:24.239 --> 0:47:27.680
<v Speaker 1>This is actually a public health crisis and there's nothing

0:47:27.760 --> 0:47:30.600
<v Speaker 1>short of that. And I think that Olivia's reporting really

0:47:30.600 --> 0:47:33.080
<v Speaker 1>speaks to the fact that this is an algorithm problem.

0:47:33.280 --> 0:47:36.120
<v Speaker 1>It's not a bad parenting, it's not a bad kids issue.

0:47:36.360 --> 0:47:36.560
<v Speaker 9>Yeah.

0:47:36.640 --> 0:47:38.680
<v Speaker 4>The big question that I have as as a parent

0:47:38.800 --> 0:47:41.480
<v Speaker 4>and in a world where we're surrounded by this stuff, Matt,

0:47:41.640 --> 0:47:44.839
<v Speaker 4>is what is the solution here, because these companies don't

0:47:44.840 --> 0:47:47.400
<v Speaker 4>necessarily have the incentive to get us to look away.

0:47:47.880 --> 0:47:49.440
<v Speaker 15>Well, I think the first part of the solution is

0:47:49.480 --> 0:47:52.840
<v Speaker 15>exactly what we're doing, which is starting a conversation because

0:47:52.840 --> 0:47:55.040
<v Speaker 15>a lot of these things. When we started this reporting,

0:47:55.280 --> 0:47:57.799
<v Speaker 15>we had no idea. I had this vague sense that

0:47:57.880 --> 0:48:00.720
<v Speaker 15>social media was bad. I'm a parent, I have young boys.

0:48:00.800 --> 0:48:03.120
<v Speaker 3>We talk about it so much like we understand the

0:48:03.160 --> 0:48:04.400
<v Speaker 3>problems of social media.

0:48:04.480 --> 0:48:07.359
<v Speaker 15>But what I didn't realize was that social media algorithms

0:48:07.360 --> 0:48:12.000
<v Speaker 15>were feeding suicidation to children, body dysmorphia to children. That

0:48:12.239 --> 0:48:15.960
<v Speaker 15>kids are being targeted with the absolute worst things on

0:48:16.080 --> 0:48:19.440
<v Speaker 15>the internet, and it's relentless unpack that.

0:48:19.680 --> 0:48:20.680
<v Speaker 3>What do you mean by.

0:48:20.480 --> 0:48:24.600
<v Speaker 15>That, Well, what happens is that these algorithms start off

0:48:24.640 --> 0:48:28.000
<v Speaker 15>in a way if someone lingers on a sad moment

0:48:28.000 --> 0:48:30.600
<v Speaker 15>because they broke up with a girlfriend or a boyfriend,

0:48:31.120 --> 0:48:34.359
<v Speaker 15>the algorithm catches that and it goes into what some

0:48:34.400 --> 0:48:37.719
<v Speaker 15>people have called a TikTok hole where it continues to

0:48:37.719 --> 0:48:40.960
<v Speaker 15>feed more and more sad content that goes deeper and deeper.

0:48:41.000 --> 0:48:43.920
<v Speaker 15>There's a whistleblower in the film that actually explains this

0:48:44.000 --> 0:48:45.760
<v Speaker 15>in more detail, who used to work at TikTok.

0:48:45.920 --> 0:48:48.120
<v Speaker 3>Well, this is what's interesting, Perry, right, it's not just

0:48:48.120 --> 0:48:51.359
<v Speaker 3>about what you search on, it's basically what you linger on.

0:48:51.600 --> 0:48:54.520
<v Speaker 3>And the social media companies and you know, we're so

0:48:54.600 --> 0:48:57.120
<v Speaker 3>careful when we talk about this because it's alleged and alleged,

0:48:57.160 --> 0:48:59.920
<v Speaker 3>but this is where the whistleblowers come in and provide

0:49:00.080 --> 0:49:01.960
<v Speaker 3>some insight about what the companies actually knew.

0:49:02.040 --> 0:49:06.120
<v Speaker 1>Now, the whistleblowers as well as internal documentation from these companies,

0:49:06.360 --> 0:49:11.319
<v Speaker 1>what they're prioritizing is having kids stay on these platforms engagement.

0:49:11.520 --> 0:49:15.000
<v Speaker 1>They're not prioritizing safety. So what happens is they bring

0:49:15.000 --> 0:49:19.279
<v Speaker 1>in neuroscientists, they bring in behavioral scientists to actually program

0:49:19.320 --> 0:49:23.239
<v Speaker 1>these algorithms so that kids stay on as long as possible,

0:49:23.360 --> 0:49:25.799
<v Speaker 1>and thus the title can't look away from their being

0:49:25.880 --> 0:49:29.320
<v Speaker 1>fed the material that they actually can't look away.

0:49:29.040 --> 0:49:31.480
<v Speaker 4>From, because that's good for business. Like I said, the

0:49:31.480 --> 0:49:34.520
<v Speaker 4>incentives are not aligned with getting kids not to look

0:49:34.520 --> 0:49:36.680
<v Speaker 4>at this stuff. If you show them what they don't

0:49:36.680 --> 0:49:38.719
<v Speaker 4>want to see, they're going to do something else. We

0:49:38.800 --> 0:49:41.520
<v Speaker 4>live in an attention economy. So is there a solution

0:49:41.640 --> 0:49:43.960
<v Speaker 4>in a world where the incentives don't match from a

0:49:43.960 --> 0:49:45.440
<v Speaker 4>public health perspective.

0:49:45.040 --> 0:49:48.279
<v Speaker 1>The incentives have got to change because we right now,

0:49:48.360 --> 0:49:51.040
<v Speaker 1>unfortunately have a legal system in section two thirty that

0:49:51.320 --> 0:49:54.680
<v Speaker 1>protects these companies in a profound way. It treats them

0:49:54.719 --> 0:49:58.680
<v Speaker 1>as passive pipelines. They are not passive pipelines. Algorithms are

0:49:58.719 --> 0:49:59.520
<v Speaker 1>company driven.

0:49:59.800 --> 0:50:02.600
<v Speaker 4>That essentially says section two thirty is that companies these

0:50:02.640 --> 0:50:05.279
<v Speaker 4>social media platforms are not responsible for the content that's

0:50:05.320 --> 0:50:06.200
<v Speaker 4>on their platforms.

0:50:06.320 --> 0:50:08.960
<v Speaker 1>That's exactly right. They are treating them like bulletin boards,

0:50:08.960 --> 0:50:12.000
<v Speaker 1>which is if you go back historically to nineteen ninety six,

0:50:12.200 --> 0:50:15.359
<v Speaker 1>before social media was even around, and you had these

0:50:15.360 --> 0:50:18.439
<v Speaker 1>sites that were more bulletin board driven, they would say,

0:50:18.480 --> 0:50:21.280
<v Speaker 1>it's okay, you can post what you want. The company

0:50:21.360 --> 0:50:24.840
<v Speaker 1>is not responsible. But that's not what our lawyers would argue,

0:50:24.920 --> 0:50:27.239
<v Speaker 1>the lawyers that we follow in this film, R what's

0:50:27.320 --> 0:50:27.919
<v Speaker 1>happening here?

0:50:28.080 --> 0:50:30.399
<v Speaker 3>Matt talk to us about the lawyers because they really are.

0:50:30.520 --> 0:50:32.319
<v Speaker 3>You know, when you go up against big tech, you're

0:50:32.320 --> 0:50:37.160
<v Speaker 3>talking about high powered, expensive lawyers. This group of lawyers,

0:50:37.400 --> 0:50:39.279
<v Speaker 3>it's hard not to be impressed by them. And what

0:50:39.320 --> 0:50:41.959
<v Speaker 3>they ultimately figured out was the argument to do here.

0:50:42.120 --> 0:50:45.440
<v Speaker 15>It's an incredible collection of lawyers led by Matt Bergman,

0:50:45.560 --> 0:50:49.200
<v Speaker 15>also Laura Marquez Garrett, who was that corner office big

0:50:49.280 --> 0:50:52.640
<v Speaker 15>firm lawyer who left because of what she saw happening

0:50:52.719 --> 0:50:56.280
<v Speaker 15>with social media and her concern for her own children.

0:50:56.560 --> 0:50:58.440
<v Speaker 15>What Matt and Laura and the other lawyers of the

0:50:58.480 --> 0:51:01.040
<v Speaker 15>Social Media Victims Law Center came up with is a

0:51:01.080 --> 0:51:05.720
<v Speaker 15>novel legal approach which holds the companies responsible under product

0:51:05.760 --> 0:51:10.480
<v Speaker 15>liability law instead of under the idea of Section two thirty,

0:51:10.480 --> 0:51:13.879
<v Speaker 15>where it's the content is that promising Well, it's made

0:51:13.880 --> 0:51:16.640
<v Speaker 15>its way through the courts. Snap in the case that's

0:51:16.640 --> 0:51:19.279
<v Speaker 15>followed in the film, tries to get it dismissed with

0:51:19.320 --> 0:51:22.120
<v Speaker 15>Section two thirty, and they successfully argue and give these

0:51:22.120 --> 0:51:24.560
<v Speaker 15>families a victory, the first of its kind, that they

0:51:24.640 --> 0:51:28.279
<v Speaker 15>can be held responsible under product liability law. And they've

0:51:28.320 --> 0:51:30.239
<v Speaker 15>moved to discovery and that case is making its way

0:51:30.280 --> 0:51:31.040
<v Speaker 15>through California.

0:51:31.239 --> 0:51:33.640
<v Speaker 3>So when we talk about product liability, you know, Perry,

0:51:33.640 --> 0:51:36.160
<v Speaker 3>I think of things like the tobacco lawsuits, and this

0:51:36.280 --> 0:51:38.359
<v Speaker 3>is what you can think about, right and I think

0:51:38.360 --> 0:51:40.280
<v Speaker 3>about so many products that are out there right now

0:51:40.560 --> 0:51:42.240
<v Speaker 3>that are facing a lot of scrutiny.

0:51:42.320 --> 0:51:44.799
<v Speaker 1>Well, let's go back to tobacco. To your point, how

0:51:44.800 --> 0:51:49.280
<v Speaker 1>about opioids. It is another page out of the same playbook,

0:51:49.280 --> 0:51:52.960
<v Speaker 1>which is basically to blame in this case the parents

0:51:53.000 --> 0:51:55.960
<v Speaker 1>and the kids, and to not hold these companies into

0:51:55.960 --> 0:51:57.160
<v Speaker 1>the companies to say.

0:51:57.120 --> 0:51:58.680
<v Speaker 13>They're abusing good products.

0:51:58.960 --> 0:52:01.480
<v Speaker 1>That is not what we are at least that's not

0:52:01.520 --> 0:52:04.600
<v Speaker 1>what the reporting is suggesting. This is very, very different.

0:52:04.640 --> 0:52:06.680
<v Speaker 1>These are algorithms that need to be changed.

0:52:06.800 --> 0:52:08.600
<v Speaker 3>I want to just mention because when you do a

0:52:08.640 --> 0:52:10.719
<v Speaker 3>documentary and we're at the high level, and as soon

0:52:10.719 --> 0:52:12.719
<v Speaker 3>as we have headlines, you have to remember that there

0:52:12.719 --> 0:52:15.040
<v Speaker 3>are people, right and you guys tell these stories. Olivia

0:52:15.080 --> 0:52:18.480
<v Speaker 3>told these stories. Whether it's Alexander Neville who died because

0:52:18.480 --> 0:52:20.359
<v Speaker 3>of taking a pill laced with fetnel that he got

0:52:20.360 --> 0:52:24.480
<v Speaker 3>on snapchat. England Roberts died after she copied a strangulation

0:52:24.680 --> 0:52:27.120
<v Speaker 3>video she saw on Instagram. It was in her feed.

0:52:28.040 --> 0:52:31.279
<v Speaker 3>Jordan de May six hours from initial contact by who

0:52:31.280 --> 0:52:33.439
<v Speaker 3>he thought was a young woman but wasn't, but rather

0:52:33.600 --> 0:52:38.880
<v Speaker 3>a sextortionist. He killed himself. I mean telling these stories.

0:52:39.040 --> 0:52:41.239
<v Speaker 3>I mean in the film, you're in the bedrooms, you're

0:52:41.239 --> 0:52:42.000
<v Speaker 3>talking to the parents.

0:52:42.080 --> 0:52:42.319
<v Speaker 8>Matt.

0:52:43.600 --> 0:52:45.160
<v Speaker 3>There's a lot of people that were impact and there

0:52:45.160 --> 0:52:46.480
<v Speaker 3>are thousands of cases.

0:52:47.440 --> 0:52:49.680
<v Speaker 15>This is just the tip of the iceberg. And I

0:52:49.719 --> 0:52:52.320
<v Speaker 15>appreciate what you were doing there because you're saying their names.

0:52:52.400 --> 0:52:55.080
<v Speaker 15>I'll add Mason Eden to that, a boy who died

0:52:55.080 --> 0:52:57.839
<v Speaker 15>by suicide after a breakup because he went down one

0:52:57.840 --> 0:53:00.520
<v Speaker 15>of these TikTok holes where here was being fed content

0:53:00.800 --> 0:53:03.600
<v Speaker 15>that actually told him to blow his brains out with

0:53:03.640 --> 0:53:06.759
<v Speaker 15>a shotgun. Actually, these are the shocking sorts of things

0:53:06.760 --> 0:53:09.680
<v Speaker 15>that many of us adults don't know are happening on

0:53:09.719 --> 0:53:14.239
<v Speaker 15>social media. And these parents are taking the most incredible

0:53:14.600 --> 0:53:18.040
<v Speaker 15>tragedy in their lives and turning it into change. Yes,

0:53:18.080 --> 0:53:21.759
<v Speaker 15>they're holding these companies liable and suing them. What they're

0:53:21.800 --> 0:53:25.359
<v Speaker 15>looking for is not necessarily monetary damages. It's for real

0:53:25.440 --> 0:53:27.520
<v Speaker 15>changes to how these companies work. You asked about a

0:53:27.520 --> 0:53:30.960
<v Speaker 15>solution before if Instagram can figure out that I want

0:53:31.000 --> 0:53:33.600
<v Speaker 15>a lawnmower before I know I want a lawnmower, or

0:53:33.640 --> 0:53:36.120
<v Speaker 15>that I need a hair cream to try to grow

0:53:36.160 --> 0:53:39.239
<v Speaker 15>my hair back. It can figure out how not to

0:53:39.320 --> 0:53:43.000
<v Speaker 15>send content that promotes suicide to children.

0:53:43.640 --> 0:53:46.759
<v Speaker 3>Christ you know what my understanding and you and I

0:53:46.840 --> 0:53:49.000
<v Speaker 3>we did a panel here and we did a discussion.

0:53:49.440 --> 0:53:52.880
<v Speaker 3>What does is it TikTok in China dot?

0:53:52.920 --> 0:53:55.920
<v Speaker 15>It's a great question because TikTok is owned by ByteDance.

0:53:55.960 --> 0:53:59.160
<v Speaker 15>The similar app in China has a shut off time

0:53:59.239 --> 0:54:01.840
<v Speaker 15>at night so that children can't access it. Instead of

0:54:01.880 --> 0:54:05.320
<v Speaker 15>promoting whatever the kids are lingering on, it actually promotes

0:54:05.520 --> 0:54:08.440
<v Speaker 15>practicing your musical instrument and doing math problems.

0:54:08.440 --> 0:54:12.319
<v Speaker 3>Sets Perry, what do you hope people you know, run

0:54:12.320 --> 0:54:14.120
<v Speaker 3>with after this film? We've only got about a minute

0:54:14.200 --> 0:54:15.919
<v Speaker 3>or so, Lef, what do you hope they do they

0:54:15.960 --> 0:54:19.120
<v Speaker 3>ask either their kids or I don't know.

0:54:20.040 --> 0:54:21.840
<v Speaker 1>It's a really important question because we don't want to

0:54:21.840 --> 0:54:24.640
<v Speaker 1>scare everybody and not give them anything that solutions oriented

0:54:24.640 --> 0:54:28.800
<v Speaker 1>And when Matt's talking about these families, these families want

0:54:28.880 --> 0:54:30.880
<v Speaker 1>people to be informed so that they don't have the

0:54:30.920 --> 0:54:33.719
<v Speaker 1>same thing happen to them. And the answer is talk

0:54:33.760 --> 0:54:36.400
<v Speaker 1>to your kids, tell them about what's going on, keep

0:54:36.600 --> 0:54:40.319
<v Speaker 1>social media, phones and apps away from them until at

0:54:40.400 --> 0:54:42.400
<v Speaker 1>least high school. Wow, it's the best thing that we

0:54:42.440 --> 0:54:44.920
<v Speaker 1>can do, and change needs to happen at a regulatory level.

0:54:45.080 --> 0:54:46.439
<v Speaker 6>Perry, one last one for you.

0:54:46.440 --> 0:54:49.359
<v Speaker 4>You've got a really interesting background in journalism but also

0:54:49.400 --> 0:54:52.719
<v Speaker 4>in documentary filmmaking, but also in public health. Your documentaries

0:54:52.719 --> 0:54:56.680
<v Speaker 4>have included subjects such as the opioid epidemic.

0:54:56.600 --> 0:55:01.200
<v Speaker 6>Excessive drinking. Is this as big of an epidelt in

0:55:01.239 --> 0:55:01.680
<v Speaker 6>your view?

0:55:01.840 --> 0:55:06.800
<v Speaker 1>I think this is a cataclysmic epidemic in my opinion,

0:55:06.880 --> 0:55:10.160
<v Speaker 1>because now these companies are targeting our children and that

0:55:10.320 --> 0:55:12.279
<v Speaker 1>is different than what was happening in a lot of

0:55:12.280 --> 0:55:14.480
<v Speaker 1>these other None of them is good, but this one is.

0:55:14.480 --> 0:55:15.840
<v Speaker 6>Particularly a public health crisis.

0:55:15.880 --> 0:55:16.720
<v Speaker 3>A public health.

0:55:16.560 --> 0:55:17.920
<v Speaker 15>Crisis, yeah, question about it.

0:55:18.040 --> 0:55:20.120
<v Speaker 3>Laire Ai on top of it, and it's just terrifying.

0:55:20.400 --> 0:55:23.400
<v Speaker 4>Thanks to Perry Pelts and Matthew O'Neil, directors and producers

0:55:23.440 --> 0:55:26.279
<v Speaker 4>of Can't Look Away, The Case against Social Media, the

0:55:26.280 --> 0:55:30.200
<v Speaker 4>Bloomberg original investigation, it's now available on all Bloomberg platforms.

0:55:30.440 --> 0:55:32.160
<v Speaker 3>I have to say, Tim, you know I actually did

0:55:32.200 --> 0:55:35.160
<v Speaker 3>a panel with Matt O'Neil a couple of weeks ago

0:55:35.200 --> 0:55:37.319
<v Speaker 3>here at Bloomberg for another we did a viewing of

0:55:37.360 --> 0:55:40.240
<v Speaker 3>the film, had an audience and then talked with the audience.

0:55:40.280 --> 0:55:44.160
<v Speaker 3>But you and I have done so many interviews about

0:55:44.160 --> 0:55:48.040
<v Speaker 3>social media misinformation that's out on the platform. You know,

0:55:48.120 --> 0:55:51.160
<v Speaker 3>we can go back to elections and political misinformation, but

0:55:51.280 --> 0:55:53.440
<v Speaker 3>just so much stuff that's out there, and for a

0:55:53.440 --> 0:55:56.080
<v Speaker 3>lot of people, you know, they see it as a

0:55:56.080 --> 0:55:59.240
<v Speaker 3>truth or reality. And I think, you know, there's been

0:55:59.640 --> 0:56:03.000
<v Speaker 3>reals on social media companies to be responsible for what's

0:56:03.040 --> 0:56:06.239
<v Speaker 3>on the platform. With this film, this documentary reminded us

0:56:06.600 --> 0:56:09.480
<v Speaker 3>that there is you know, you go back to a

0:56:09.640 --> 0:56:13.400
<v Speaker 3>ruling that basically made these companies not responsible for the

0:56:13.480 --> 0:56:14.799
<v Speaker 3>content on their platform.

0:56:15.120 --> 0:56:17.239
<v Speaker 4>Yes, section two thirty is what you're referring to. Fry

0:56:17.280 --> 0:56:18.719
<v Speaker 4>Peltz talks about it a lot, right.

0:56:18.600 --> 0:56:21.479
<v Speaker 3>The Communications Act of was it nineteen ninety six, I think?

0:56:21.800 --> 0:56:25.120
<v Speaker 3>And so what's interesting is that, you know, in an

0:56:25.239 --> 0:56:29.680
<v Speaker 3>environment where we are inundated by a digital world and

0:56:29.719 --> 0:56:32.839
<v Speaker 3>people spending a lot of time on social media, when

0:56:32.840 --> 0:56:36.560
<v Speaker 3>it comes to something like kids, children, teenagers, what can

0:56:36.640 --> 0:56:39.479
<v Speaker 3>possibly happen as a result of that content, it does

0:56:39.600 --> 0:56:42.120
<v Speaker 3>open up a big question who is responsible for that?

0:56:42.239 --> 0:56:44.120
<v Speaker 4>Well, how would the world be different right now if

0:56:44.160 --> 0:56:47.239
<v Speaker 4>these platforms were held good question responsible for what was

0:56:47.360 --> 0:56:49.320
<v Speaker 4>actually on their platforms.

0:56:48.840 --> 0:56:51.520
<v Speaker 3>Well, and what they like it too is to tobacco, right,

0:56:51.600 --> 0:56:54.600
<v Speaker 3>and when tobacco was kind of be marketed to kids

0:56:55.800 --> 0:56:57.760
<v Speaker 3>and trying, the whole idea is get them hooked early,

0:56:58.000 --> 0:57:00.080
<v Speaker 3>and the same thing with social media, get them at

0:57:00.120 --> 0:57:04.040
<v Speaker 3>least allegedly from some of the inside documents I had

0:57:04.040 --> 0:57:06.400
<v Speaker 3>at companies about this idea of kind of you know,

0:57:06.480 --> 0:57:10.000
<v Speaker 3>targeting kids because you get a customer when they're young,

0:57:10.080 --> 0:57:12.320
<v Speaker 3>they kind of tend to stay with you until they're older.

0:57:12.360 --> 0:57:14.640
<v Speaker 4>Well, I think what a big takeaway from me from

0:57:14.640 --> 0:57:18.200
<v Speaker 4>this conversation was misaligned incentives. You know, we report on

0:57:18.280 --> 0:57:20.880
<v Speaker 4>these companies each and every day and quarterly. We talk

0:57:20.920 --> 0:57:23.760
<v Speaker 4>about the metrics that investors look closely at, the ones

0:57:23.760 --> 0:57:26.920
<v Speaker 4>that actually move the company's stock price. Right, it's time

0:57:27.000 --> 0:57:30.440
<v Speaker 4>spent on the platform, right, It's users on the platform.

0:57:30.720 --> 0:57:33.960
<v Speaker 4>It's not how little did you get young people to

0:57:34.040 --> 0:57:37.680
<v Speaker 4>actually use this platform. That's not what investors are judging

0:57:37.720 --> 0:57:38.000
<v Speaker 4>them on.

0:57:38.400 --> 0:57:39.760
<v Speaker 3>Well, and it's exactly so.

0:57:39.800 --> 0:57:42.080
<v Speaker 4>They're doing everything they can to get people to spend

0:57:42.120 --> 0:57:43.480
<v Speaker 4>more time on the platforms.

0:57:43.600 --> 0:57:45.760
<v Speaker 3>And what's interesting is what they found is that you know,

0:57:45.840 --> 0:57:49.200
<v Speaker 3>kids will search for stuff, and what happens is it's

0:57:49.200 --> 0:57:52.720
<v Speaker 3>not necessarily what you search on that you get targeted for.

0:57:52.800 --> 0:57:55.440
<v Speaker 3>It's what you linger on, how much time you spend

0:57:55.960 --> 0:57:59.920
<v Speaker 3>on an individual post, and then the algorithms seem to

0:58:00.080 --> 0:58:02.440
<v Speaker 3>kick in, yeah, and then target with you. So you

0:58:02.520 --> 0:58:04.520
<v Speaker 3>might have been searching something that was optimistic and all

0:58:04.560 --> 0:58:06.320
<v Speaker 3>of a sudden you get something that's kind of dark

0:58:06.600 --> 0:58:08.120
<v Speaker 3>and you spend a little bit more time because our

0:58:08.120 --> 0:58:10.640
<v Speaker 3>brain is kind of wired to go to those dark things,

0:58:10.760 --> 0:58:12.040
<v Speaker 3>and then all of a sudden, you're getting a lot

0:58:12.040 --> 0:58:14.960
<v Speaker 3>more dark content. I'm making it very simplistic, but that's

0:58:15.080 --> 0:58:16.040
<v Speaker 3>kind of you know here in.

0:58:16.000 --> 0:58:18.560
<v Speaker 4>The US, the safeguards that are put on by the

0:58:18.560 --> 0:58:23.080
<v Speaker 4>companies versus in China, and how the Chinese companies or

0:58:23.120 --> 0:58:25.120
<v Speaker 4>are required or at least what they do when it

0:58:25.120 --> 0:58:27.360
<v Speaker 4>comes to the content on the platforms. Yeah, that watch.

0:58:27.440 --> 0:58:28.640
<v Speaker 4>Check out the film exactly.

0:58:28.800 --> 0:58:31.800
<v Speaker 3>Check it out. You can find it on Bloomberg platforms.

0:58:32.280 --> 0:58:34.720
<v Speaker 3>It's definitely a must watch if you have kids. Schools

0:58:34.760 --> 0:58:39.200
<v Speaker 3>are watching it, they're doing viewing sessions if you will. Anyway,

0:58:39.240 --> 0:58:42.360
<v Speaker 3>it's really something that is a must viewing, all right,

0:58:42.400 --> 0:58:44.760
<v Speaker 3>you're listening to Bloomberg Business Week. Coming up from junk

0:58:44.800 --> 0:58:49.120
<v Speaker 3>on social media to junk on supermarket shelves. Another addiction

0:58:49.200 --> 0:58:51.920
<v Speaker 3>worth paying attention to ultra processed foods.

0:58:52.160 --> 0:58:54.600
<v Speaker 4>People want to avoid them, but experts are struggling to

0:58:54.640 --> 0:58:57.400
<v Speaker 4>define them. That's next. This is Bloomberg.

0:58:59.200 --> 0:59:03.360
<v Speaker 2>This is Theloomberg Business Week Daily Podcast. Listen live each

0:59:03.360 --> 0:59:06.360
<v Speaker 2>weekday starting at two pm Eastern on Apple car Play

0:59:06.480 --> 0:59:09.280
<v Speaker 2>and Android Auto with the Bloomberg Business app. You can

0:59:09.320 --> 0:59:12.480
<v Speaker 2>also listen live on Amazon Alexa from our flagship New

0:59:12.560 --> 0:59:15.960
<v Speaker 2>York station, Just Say Alexa played Bloomberg eleven thirty.

0:59:17.640 --> 0:59:20.080
<v Speaker 4>Here's a stat that may shock you. Americans get more

0:59:20.120 --> 0:59:23.240
<v Speaker 4>than half of their daily calories from ultra processed foods,

0:59:23.560 --> 0:59:25.960
<v Speaker 4>with salty and sugary items accounting for an even bigger

0:59:25.960 --> 0:59:28.760
<v Speaker 4>portion of kids plates. This according to a government study

0:59:28.760 --> 0:59:31.960
<v Speaker 4>that was released back in August. This government study ran

0:59:32.000 --> 0:59:34.600
<v Speaker 4>from two thousand and one twenty twenty one to twenty

0:59:34.680 --> 0:59:37.040
<v Speaker 4>twenty three, and it said that about sixty two percent

0:59:37.040 --> 0:59:41.280
<v Speaker 4>of childhood diets come from highly processed foods think burgers, pastries, snacks,

0:59:41.280 --> 0:59:44.240
<v Speaker 4>and pizza. This according to the US Centers for Disease

0:59:44.280 --> 0:59:47.520
<v Speaker 4>Control and Preventions. Nutrition study, the same foods have a

0:59:47.520 --> 0:59:49.960
<v Speaker 4>similar grip on adults, making up about fifty three percent

0:59:50.280 --> 0:59:52.320
<v Speaker 4>of the calories that they consumed.

0:59:53.080 --> 0:59:53.560
<v Speaker 3>That's a lot.

0:59:53.640 --> 0:59:53.840
<v Speaker 6>Yeah.

0:59:53.840 --> 0:59:55.400
<v Speaker 4>The question I have is whether or not Health and

0:59:55.440 --> 0:59:58.400
<v Speaker 4>Human Services Secretary Robert F. Kennedy can actually make some

0:59:58.440 --> 1:00:00.360
<v Speaker 4>headway on this. He said that the u US food

1:00:00.360 --> 1:00:02.720
<v Speaker 4>supplies poisoning children. It's a question that I'll post to.

1:00:02.800 --> 1:00:06.880
<v Speaker 4>Doctor Juliet Wolfson, Associate Professor in the International Health Department

1:00:07.240 --> 1:00:09.440
<v Speaker 4>at the Johns Hopkins Bloomberg School of Public Health. The

1:00:09.520 --> 1:00:12.880
<v Speaker 4>research focuses on how ultra process food affects our bodies.

1:00:13.080 --> 1:00:15.280
<v Speaker 4>The Johns Hopkins Bloomberg School of Public Health is supported

1:00:15.280 --> 1:00:18.080
<v Speaker 4>by Michael our Bloomberg, founder and majority owner of Bloomberg LP,

1:00:18.200 --> 1:00:23.000
<v Speaker 4>parent company of Bloomberg TV and Radio. Doctor Wolfson, good

1:00:23.000 --> 1:00:24.360
<v Speaker 4>to have you back with us. It's been about a

1:00:24.440 --> 1:00:26.240
<v Speaker 4>year since we last spoke. I just want to start

1:00:26.240 --> 1:00:28.240
<v Speaker 4>with the definition of ultra process foods. I was kind

1:00:28.240 --> 1:00:31.479
<v Speaker 4>of surprised to see pizza and burgers on that list.

1:00:31.480 --> 1:00:32.280
<v Speaker 4>How do you define it?

1:00:33.480 --> 1:00:35.360
<v Speaker 13>Yeah, so thanks for having me back.

1:00:35.520 --> 1:00:39.800
<v Speaker 12>And ultra processed foods are defined by the list of

1:00:39.920 --> 1:00:43.920
<v Speaker 12>ingredients that are included in them. So these are foods

1:00:43.920 --> 1:00:48.040
<v Speaker 12>and beverages that are industrial produced using processes that you

1:00:48.080 --> 1:00:50.680
<v Speaker 12>wouldn't have in a home kitchen, and ingredients that you

1:00:50.800 --> 1:00:53.720
<v Speaker 12>also wouldn't have in a home kitchen. So these are,

1:00:53.800 --> 1:00:58.040
<v Speaker 12>you know, industrial produced products used by processing techniques like

1:00:58.120 --> 1:01:01.720
<v Speaker 12>extrusion fractioning where you break on the pieces of the

1:01:01.760 --> 1:01:04.480
<v Speaker 12>food into different things and then put it back together again,

1:01:05.720 --> 1:01:13.000
<v Speaker 12>and they contain things like additives, emulsifiers, sweeteners, thickeners, artificial

1:01:13.000 --> 1:01:16.080
<v Speaker 12>flavors and colorings, and other kinds of substances again that

1:01:16.160 --> 1:01:17.960
<v Speaker 12>you wouldn't use in a home kitchen.

1:01:18.400 --> 1:01:20.120
<v Speaker 13>And so the most common.

1:01:19.800 --> 1:01:23.320
<v Speaker 12>Definition we have is called the NOVA classification system, which

1:01:23.360 --> 1:01:26.560
<v Speaker 12>actually uses the ingredient list on a product to look

1:01:26.560 --> 1:01:29.840
<v Speaker 12>for these kinds of ingredients that signal that a food

1:01:29.920 --> 1:01:34.240
<v Speaker 12>or beverage has been through this industrial processed thing.

1:01:34.880 --> 1:01:38.480
<v Speaker 3>So if we turn around, which I think increasingly we

1:01:38.560 --> 1:01:42.320
<v Speaker 3>have a population that is doing that, and especially I've

1:01:42.360 --> 1:01:45.160
<v Speaker 3>got a daughter who's twenty two, younger generation looking at stuff.

1:01:45.480 --> 1:01:48.160
<v Speaker 3>But if there are a ton of ingredients and ingredients

1:01:48.200 --> 1:01:52.080
<v Speaker 3>you don't understand, should you assume that that's ultra processed.

1:01:53.440 --> 1:01:56.160
<v Speaker 12>Yeah, that is what we recommend as the way to

1:01:56.320 --> 1:01:59.520
<v Speaker 12>know if a food or beverage you're considering purchasing or

1:01:59.520 --> 1:02:03.000
<v Speaker 12>eating ultra process you flip over that package and if

1:02:03.040 --> 1:02:06.720
<v Speaker 12>you look at that ingredient list and you see even one,

1:02:06.840 --> 1:02:09.520
<v Speaker 12>but certainly a bunch of ingredients where you think, I

1:02:09.520 --> 1:02:11.440
<v Speaker 12>don't know what that is. That's not something I would

1:02:11.440 --> 1:02:13.800
<v Speaker 12>cook with. I don't even know how to pronounce that.

1:02:13.800 --> 1:02:15.880
<v Speaker 12>That's a signal that's an ultraprocessed food.

1:02:16.360 --> 1:02:19.520
<v Speaker 3>So do we fix it by just infusing everything with protein?

1:02:19.600 --> 1:02:20.400
<v Speaker 3>And then it's all.

1:02:20.240 --> 1:02:23.600
<v Speaker 4>Open, but it's still ultra processed, like like even a.

1:02:24.400 --> 1:02:26.080
<v Speaker 3>Protein Are you picking on the pop tart?

1:02:26.200 --> 1:02:26.360
<v Speaker 11>Yeah?

1:02:26.400 --> 1:02:28.520
<v Speaker 4>Protein packed a cop tart. We talked about this on

1:02:28.560 --> 1:02:33.320
<v Speaker 4>our editorial call this morning. Sounds great, protein, doctor, I'm

1:02:33.360 --> 1:02:34.160
<v Speaker 4>gonna let you weigh in.

1:02:35.520 --> 1:02:38.280
<v Speaker 12>Yeah, So I mean thinking about what are That's a

1:02:38.320 --> 1:02:41.480
<v Speaker 12>strategy the food industry uses, maybe to signal that something

1:02:41.520 --> 1:02:43.960
<v Speaker 12>is healthier for us by you know, saying, oh, this

1:02:44.080 --> 1:02:46.440
<v Speaker 12>is protein rich or whole grain rich, or this has

1:02:46.560 --> 1:02:47.920
<v Speaker 12>vitamins or minerals.

1:02:48.000 --> 1:02:50.120
<v Speaker 13>Right, But if it still has these other.

1:02:50.200 --> 1:02:55.120
<v Speaker 12>Ingredients, it's still an ultraprocessed food. And so you know

1:02:55.280 --> 1:02:58.320
<v Speaker 12>the addition of you know, other nutrients that we might

1:02:58.360 --> 1:03:02.280
<v Speaker 12>think are beneficial does not change that food.

1:03:02.040 --> 1:03:04.400
<v Speaker 13>Into something that is not an ultra process food. It's

1:03:04.400 --> 1:03:05.440
<v Speaker 13>still ultra process.

1:03:05.640 --> 1:03:08.000
<v Speaker 4>So just really shocking to see sixty two percent of

1:03:08.040 --> 1:03:11.840
<v Speaker 4>childhood diets come from highly processed foods. That was wild

1:03:11.880 --> 1:03:14.200
<v Speaker 4>to see. But at the same time, I'm thinking about

1:03:14.200 --> 1:03:16.919
<v Speaker 4>my own family and how difficult it is to get

1:03:16.920 --> 1:03:19.400
<v Speaker 4>my kids who are six and two to eat food

1:03:19.440 --> 1:03:22.960
<v Speaker 4>that we would consider not ultra processed. What is the

1:03:23.000 --> 1:03:25.560
<v Speaker 4>best way to do that. What are strategies that work

1:03:25.600 --> 1:03:27.440
<v Speaker 4>for kids? I think a lot of parents struggle with this.

1:03:28.800 --> 1:03:30.480
<v Speaker 12>Yeah, I mean, I think it's a struggle for all

1:03:30.520 --> 1:03:32.760
<v Speaker 12>of us, right, you know, it's not just kids, it's

1:03:32.800 --> 1:03:33.560
<v Speaker 12>adults as well.

1:03:33.640 --> 1:03:35.440
<v Speaker 13>You know, it's over half of adult diets.

1:03:35.960 --> 1:03:37.800
<v Speaker 12>And I think there's a lot of reasons for that,

1:03:38.040 --> 1:03:41.560
<v Speaker 12>and it's you know, our taste preferences are shaped very early,

1:03:41.640 --> 1:03:44.800
<v Speaker 12>and there's a lot of marketing, particularly the children, for

1:03:44.880 --> 1:03:45.640
<v Speaker 12>these products.

1:03:46.160 --> 1:03:49.000
<v Speaker 13>And they're easier to they're easier to grab and go.

1:03:49.080 --> 1:03:50.800
<v Speaker 12>There, a lot of them are ready to eat, and

1:03:51.080 --> 1:03:54.480
<v Speaker 12>you know, they're snacks. They save time, and a lot

1:03:54.480 --> 1:03:58.240
<v Speaker 12>of them are more affordable too, So that's something to consider.

1:03:58.440 --> 1:04:01.120
<v Speaker 12>I think it is the more snacks that you can

1:04:01.200 --> 1:04:04.320
<v Speaker 12>have out that are not processed, that are easy to

1:04:04.320 --> 1:04:06.960
<v Speaker 12>grab and go that you know, that is one strategy

1:04:07.000 --> 1:04:09.920
<v Speaker 12>to help kids have more say fresh fruits and vegetables

1:04:09.920 --> 1:04:12.840
<v Speaker 12>to snack on, or healthy snacks that are made ahead

1:04:13.040 --> 1:04:16.600
<v Speaker 12>so that they can reach for easily. But again that

1:04:16.760 --> 1:04:19.960
<v Speaker 12>is extra work for parents and sometimes extra cost for

1:04:20.040 --> 1:04:20.680
<v Speaker 12>parents as well.

1:04:20.720 --> 1:04:21.720
<v Speaker 13>So it's there.

1:04:21.960 --> 1:04:26.240
<v Speaker 12>There are really good and intractable reasons why these foods

1:04:26.280 --> 1:04:30.280
<v Speaker 12>comprise so much of our diets, and particularly our children's diets.

1:04:30.640 --> 1:04:34.560
<v Speaker 3>So you know, what's interesting the stat that Tim mentioned

1:04:35.080 --> 1:04:38.920
<v Speaker 3>from US Centers for Disease Control and Prevention their nutrition survey,

1:04:39.400 --> 1:04:42.680
<v Speaker 3>when they talked about highly processed food, they said pizza.

1:04:42.800 --> 1:04:45.240
<v Speaker 6>So this is not the pizza that you get and

1:04:45.320 --> 1:04:46.280
<v Speaker 6>I get on Friday nights.

1:04:46.360 --> 1:04:49.280
<v Speaker 3>That's what I want to ask you. So, like, I

1:04:49.360 --> 1:04:53.200
<v Speaker 3>go to a place where I know they are making

1:04:53.280 --> 1:04:55.760
<v Speaker 3>their homemade crust from special weed.

1:04:55.880 --> 1:04:58.480
<v Speaker 4>It's been featured in the New York Times, you.

1:04:58.440 --> 1:05:00.439
<v Speaker 3>Know, and it's no, no, no, I hear you have fun

1:05:00.480 --> 1:05:03.800
<v Speaker 3>but he but I mean it's like, you know, fresh tomatoes,

1:05:03.840 --> 1:05:08.280
<v Speaker 3>fresh basil. I guess maybe there's obviously some like homemade

1:05:08.360 --> 1:05:13.320
<v Speaker 3>cheese there, but like what like how do we distinguish

1:05:13.760 --> 1:05:17.080
<v Speaker 3>really really bad processed food versus stuff that maybe isn't

1:05:17.120 --> 1:05:17.520
<v Speaker 3>so bad.

1:05:18.480 --> 1:05:21.120
<v Speaker 12>Yeah, I think that, you know, that kind of pizza

1:05:21.160 --> 1:05:24.160
<v Speaker 12>that you're describing, or let's think about bread, even pizza

1:05:24.280 --> 1:05:27.480
<v Speaker 12>or bread that might make at home, Like you're combining

1:05:27.640 --> 1:05:30.760
<v Speaker 12>wheat and you know, flour and salt and yeast, and

1:05:30.840 --> 1:05:32.480
<v Speaker 12>you know, you have your fresh tomato sauce.

1:05:32.800 --> 1:05:34.280
<v Speaker 13>That's not an ultraprocessed food.

1:05:34.320 --> 1:05:36.760
<v Speaker 12>So that but that is not the majority of the

1:05:36.800 --> 1:05:38.240
<v Speaker 12>pizza that people are eating.

1:05:38.280 --> 1:05:40.640
<v Speaker 13>So when we talk about things like pizza.

1:05:40.320 --> 1:05:43.040
<v Speaker 12>It really could be those frozen pizzas that you get

1:05:43.080 --> 1:05:46.480
<v Speaker 12>in the grocery store, or maybe more mass produced pizzas

1:05:46.520 --> 1:05:49.480
<v Speaker 12>that are made at scale and therefore have some sorts

1:05:49.480 --> 1:05:53.200
<v Speaker 12>of preservatives or other kinds of ingredients that you know,

1:05:53.320 --> 1:05:56.520
<v Speaker 12>change the say, the softness of the dough or something

1:05:56.600 --> 1:05:56.919
<v Speaker 12>like that.

1:05:57.280 --> 1:05:58.840
<v Speaker 13>Those are the ultra process things.

1:05:58.880 --> 1:06:03.840
<v Speaker 12>So not all all ultra processed foods, though, are equally concerning.

1:06:03.920 --> 1:06:07.840
<v Speaker 12>I would say, you know, I mentioned bread, so you know,

1:06:07.880 --> 1:06:10.840
<v Speaker 12>the bread that we might make by ourselves at home,

1:06:10.920 --> 1:06:13.480
<v Speaker 12>like if we were some of the people who started

1:06:13.480 --> 1:06:16.360
<v Speaker 12>making sour oaught bread during COVID, for example, Yeah, that's

1:06:16.440 --> 1:06:19.520
<v Speaker 12>not ut processed bread you might get at the bakery

1:06:20.320 --> 1:06:22.920
<v Speaker 12>in your neighborhood that is made by scratch is not

1:06:23.720 --> 1:06:26.800
<v Speaker 12>ultra processed. But most of the bread that we see

1:06:26.800 --> 1:06:30.720
<v Speaker 12>on our supermarket shelves is ultra process that sliced bread

1:06:30.760 --> 1:06:34.600
<v Speaker 12>that you see and so, but that includes even whole

1:06:34.640 --> 1:06:38.400
<v Speaker 12>wheat bread. So you know, there are some ultraprocessed products

1:06:38.480 --> 1:06:42.720
<v Speaker 12>that are by definition ultra process because they might contain

1:06:43.160 --> 1:06:46.160
<v Speaker 12>right those alifuyers or things that turn them into that product,

1:06:46.200 --> 1:06:49.560
<v Speaker 12>but they might still be Some are less of a

1:06:49.640 --> 1:06:50.560
<v Speaker 12>concern than others.

1:06:50.600 --> 1:06:52.400
<v Speaker 4>I would say, so just in the last two minutes

1:06:52.440 --> 1:06:54.880
<v Speaker 4>that we have with you that Health and even Service

1:06:54.880 --> 1:06:57.160
<v Speaker 4>As Secretary, Robert F. Kennedy Junior has vowed to go

1:06:57.160 --> 1:07:00.000
<v Speaker 4>after these food companies so Americans do eat healthier.

1:07:00.320 --> 1:07:03.760
<v Speaker 6>Thus far, how is he doing well?

1:07:03.840 --> 1:07:06.280
<v Speaker 12>I mean, I think it's good that he's focusing on

1:07:06.320 --> 1:07:09.680
<v Speaker 12>this as an issue. I think there are, as I mentioned,

1:07:09.760 --> 1:07:12.000
<v Speaker 12>you know, there's a lot of reasons why we eat

1:07:12.040 --> 1:07:14.440
<v Speaker 12>these foods, and one of them, a big one is

1:07:14.560 --> 1:07:16.960
<v Speaker 12>they're more affordable. They tend to be more affordable than

1:07:17.040 --> 1:07:21.600
<v Speaker 12>scratch ingredients. They save time, and they're more accessible.

1:07:21.800 --> 1:07:22.280
<v Speaker 13>And so.

1:07:23.840 --> 1:07:26.919
<v Speaker 12>I think some of the policies of the administration say

1:07:27.240 --> 1:07:31.360
<v Speaker 12>cutting or even eliminating snap benefits is not helpful for

1:07:31.600 --> 1:07:36.080
<v Speaker 12>people to be able to avoid ultraprocessed foods. But thinking

1:07:36.080 --> 1:07:40.040
<v Speaker 12>about labeling or getting ultra processed foods out of schools

1:07:40.120 --> 1:07:43.080
<v Speaker 12>in a way that also balances with giving schools the

1:07:43.120 --> 1:07:47.040
<v Speaker 12>resources they need to source and prepare less processed foods

1:07:47.040 --> 1:07:48.480
<v Speaker 12>would be a step in the right direction.

1:07:48.640 --> 1:07:50.840
<v Speaker 3>Why do we just real quickly thirty forty seconds here,

1:07:50.840 --> 1:07:53.200
<v Speaker 3>why do we have so much ultraprocessed food? Is it

1:07:53.240 --> 1:07:55.720
<v Speaker 3>about keeping shelf life or like, what is it? Or

1:07:55.760 --> 1:07:59.000
<v Speaker 3>is it just cheaper mass production food?

1:07:59.040 --> 1:08:01.240
<v Speaker 12>I don't know, just quickly, yeah, I mean it's the

1:08:01.280 --> 1:08:03.720
<v Speaker 12>majority of the foods in our grocery store shelves. Right.

1:08:03.960 --> 1:08:07.920
<v Speaker 12>They make food large, shelf stable, they're oftentimes more affordable,

1:08:08.120 --> 1:08:10.600
<v Speaker 12>and they're in high demand because they save people time

1:08:10.760 --> 1:08:11.960
<v Speaker 12>and they save people.

1:08:11.720 --> 1:08:13.080
<v Speaker 13>Mental energy as well.

1:08:13.120 --> 1:08:15.560
<v Speaker 12>You know, it's a lot easier to say, have a

1:08:15.960 --> 1:08:18.639
<v Speaker 12>frozen dinner than it is to make all the components

1:08:18.680 --> 1:08:21.120
<v Speaker 12>of the frozen dinner yourself. So there's demand for it,

1:08:21.680 --> 1:08:24.559
<v Speaker 12>and you know, they've really dominated our food supply for

1:08:24.640 --> 1:08:28.320
<v Speaker 12>decades now, so it will be really difficult to make

1:08:28.360 --> 1:08:31.080
<v Speaker 12>that switch at a large scale, but it's worth considering

1:08:31.080 --> 1:08:31.880
<v Speaker 12>how we can do it well.

1:08:31.960 --> 1:08:34.080
<v Speaker 3>L's quick question twenty five seconds. Can we eat too

1:08:34.120 --> 1:08:34.719
<v Speaker 3>much protein?

1:08:36.200 --> 1:08:38.679
<v Speaker 12>I think it is possible to eat too much protein,

1:08:38.720 --> 1:08:41.960
<v Speaker 12>and Americans do eat a lot of protein, so we

1:08:42.000 --> 1:08:44.599
<v Speaker 12>are not suffering from a shortage of protein in the.

1:08:44.640 --> 1:08:48.479
<v Speaker 4>US as a whole our Thanks to doctor Julia Wolfson,

1:08:48.520 --> 1:08:51.120
<v Speaker 4>Associate Professor in the International Health Department at the Johns

1:08:51.160 --> 1:08:54.120
<v Speaker 4>Hopkins Bloomberg School of Public Health, Her research focuses on

1:08:54.120 --> 1:08:56.280
<v Speaker 4>how ultra processed foods affect our bodies.

1:08:56.280 --> 1:08:58.879
<v Speaker 3>All right, so you have little kids, My daughter's older.

1:09:00.040 --> 1:09:01.800
<v Speaker 3>I know we were obsessed. I know you are too

1:09:01.840 --> 1:09:03.600
<v Speaker 3>with organic and yeah.

1:09:03.360 --> 1:09:05.920
<v Speaker 4>But I mean I can only do so much. Truly,

1:09:06.200 --> 1:09:09.479
<v Speaker 4>it's hard. You know, it's really hard for us what

1:09:09.479 --> 1:09:11.000
<v Speaker 4>what they eat when they're out of the house.

1:09:11.040 --> 1:09:13.320
<v Speaker 3>I was just going to say, like when they go elsewhere, right.

1:09:13.280 --> 1:09:15.840
<v Speaker 4>Yeah, and you know it's I'll tell you, New York

1:09:15.840 --> 1:09:19.439
<v Speaker 4>City public schools do not make it easy. Grateful that

1:09:19.479 --> 1:09:22.599
<v Speaker 4>they offer food at these schools breakfast, lunch, and dinner

1:09:22.600 --> 1:09:24.760
<v Speaker 4>at this point, which is a little crazy. Yeah, it's

1:09:24.800 --> 1:09:27.599
<v Speaker 4>not the healthiest stuff though, I know, granted they do have.

1:09:28.040 --> 1:09:30.000
<v Speaker 4>You know, my kids love apples, and they have like

1:09:30.080 --> 1:09:33.400
<v Speaker 4>New York apples, which we love, but it's the other stuff.

1:09:33.400 --> 1:09:35.640
<v Speaker 4>And oftentimes in the after school programs, he comes home

1:09:35.680 --> 1:09:37.280
<v Speaker 4>and he's like, oh, yeah, I got you know, Dorito's

1:09:37.320 --> 1:09:40.400
<v Speaker 4>or whatever, I got, you know, candy from this after school,

1:09:40.439 --> 1:09:42.120
<v Speaker 4>and it's like, oh, you can only do so much.

1:09:42.240 --> 1:09:44.559
<v Speaker 3>I remember in high school, like we used to take

1:09:44.560 --> 1:09:46.200
<v Speaker 3>our own lunches in grade school, and I live close

1:09:46.320 --> 1:09:47.600
<v Speaker 3>enough in grade school that we could go home for

1:09:47.680 --> 1:09:50.080
<v Speaker 3>lunch and stuff. But I remember in high school you couldn't.

1:09:50.400 --> 1:09:53.240
<v Speaker 3>And I remember like you could eat some fruit, or

1:09:53.280 --> 1:09:56.040
<v Speaker 3>there was this like great cake and we would all

1:09:56.160 --> 1:09:58.360
<v Speaker 3>like get it. And it's like that was the choice

1:09:58.400 --> 1:09:59.800
<v Speaker 3>we made. And I'm sure it was.

1:10:00.160 --> 1:10:01.840
<v Speaker 4>Ultimately I was gonna say, was it in like a

1:10:01.880 --> 1:10:03.280
<v Speaker 4>package or was it Actually it.

1:10:03.200 --> 1:10:05.280
<v Speaker 3>Wasn't in a package, so maybe they had a bakery

1:10:05.360 --> 1:10:07.320
<v Speaker 3>that maybe they were making it in their kitchen, but

1:10:07.800 --> 1:10:08.360
<v Speaker 3>I don't know.

1:10:09.200 --> 1:10:10.439
<v Speaker 4>You got to go home for lunch.

1:10:10.560 --> 1:10:12.479
<v Speaker 3>In grade school. We lived really close. It was like

1:10:12.520 --> 1:10:13.639
<v Speaker 3>a little town, and it was.

1:10:13.600 --> 1:10:15.439
<v Speaker 4>Like pretty cool that the teachers just like let the

1:10:15.479 --> 1:10:16.519
<v Speaker 4>kids walk home by themselves.

1:10:16.600 --> 1:10:18.439
<v Speaker 3>Yeah, I mean I was literally a couple of minutes away,

1:10:19.040 --> 1:10:20.559
<v Speaker 3>so I can really cool. I could go home and

1:10:20.560 --> 1:10:21.880
<v Speaker 3>make dinner, not dinner.

1:10:21.640 --> 1:10:23.400
<v Speaker 4>But make Did you make the lunch yourself or was

1:10:23.479 --> 1:10:23.720
<v Speaker 4>I did?

1:10:23.720 --> 1:10:25.360
<v Speaker 3>I made it for myself and my little brother. No,

1:10:25.439 --> 1:10:26.240
<v Speaker 3>my mom was working.

1:10:26.360 --> 1:10:27.559
<v Speaker 4>That's pretty cool, especially when we.

1:10:27.560 --> 1:10:29.479
<v Speaker 3>Got a little bit older. Different that was through eighth grade.

1:10:29.560 --> 1:10:32.120
<v Speaker 4>Different world, it is, right, Yeah, that's pretty cool.

1:10:32.120 --> 1:10:33.280
<v Speaker 3>But high school wasn't like we had it.

1:10:33.360 --> 1:10:34.400
<v Speaker 6>That's the opposite.

1:10:34.560 --> 1:10:36.000
<v Speaker 3>Were you closer in your high school?

1:10:36.040 --> 1:10:38.600
<v Speaker 4>Well, I went to boarding school, so it kind of

1:10:38.640 --> 1:10:41.760
<v Speaker 4>that was impossible to really relate here.

1:10:41.840 --> 1:10:43.719
<v Speaker 3>But was boarding school healthy?

1:10:43.920 --> 1:10:44.640
<v Speaker 8>Yeah?

1:10:44.720 --> 1:10:47.000
<v Speaker 4>I mean it was real food, which is good. We

1:10:47.040 --> 1:10:49.519
<v Speaker 4>did have one thing we did have, what well, two

1:10:49.600 --> 1:10:54.320
<v Speaker 4>things that we had which were crazy. One chocolate milk okay,

1:10:54.360 --> 1:10:57.360
<v Speaker 4>so that was pretty good. Two milk are used to

1:10:57.920 --> 1:11:00.240
<v Speaker 4>a frozen yogurt machine.

1:11:01.520 --> 1:11:03.439
<v Speaker 3>And do you have a cappuccino maker?

1:11:03.520 --> 1:11:03.640
<v Speaker 11>No?

1:11:03.640 --> 1:11:03.960
<v Speaker 8>No, no.

1:11:05.160 --> 1:11:08.200
<v Speaker 4>So we could just go into the dining halloga whenever

1:11:08.200 --> 1:11:09.439
<v Speaker 4>we wanted, which was a little nuts. I don't know

1:11:09.479 --> 1:11:11.599
<v Speaker 4>if they still have that. And one thing you do

1:11:11.640 --> 1:11:15.120
<v Speaker 4>as as seniors, you were allowed to like be out late. Well,

1:11:15.160 --> 1:11:17.439
<v Speaker 4>we'd all break into the dining hall and just eat

1:11:17.439 --> 1:11:19.479
<v Speaker 4>whatever we wanted there late at night. It's kind of

1:11:19.520 --> 1:11:21.240
<v Speaker 4>it's kind of like, I'm sorry you allowed to do that.

1:11:21.600 --> 1:11:22.120
<v Speaker 3>You broke in.

1:11:22.880 --> 1:11:24.479
<v Speaker 8>Yeah, a lock on the door.

1:11:24.880 --> 1:11:26.760
<v Speaker 4>The locks that were meant to be like those big

1:11:26.840 --> 1:11:30.760
<v Speaker 4>like things were just like little like I don't know,

1:11:30.800 --> 1:11:32.959
<v Speaker 4>like U shaped things that they put over, like horseshoe

1:11:33.000 --> 1:11:33.559
<v Speaker 4>kind of things.

1:11:33.640 --> 1:11:35.280
<v Speaker 3>You know, those things you learn on your about your

1:11:35.280 --> 1:11:38.920
<v Speaker 3>co host. Yep, very very interesting. Hey, we shouldn't point

1:11:38.960 --> 1:11:40.760
<v Speaker 3>out that as a one little I.

1:11:40.680 --> 1:11:43.599
<v Speaker 4>Wasn't a bad kid. Okay, I didn't get sway.

1:11:43.600 --> 1:11:45.040
<v Speaker 3>I'm going to bring it back to the news.

1:11:45.080 --> 1:11:46.160
<v Speaker 4>It was kind of a bad kick.

1:11:46.400 --> 1:11:48.479
<v Speaker 3>We do also want to mention a story that has

1:11:48.520 --> 1:11:50.680
<v Speaker 3>come out and kind of associated if you want, the

1:11:50.720 --> 1:11:53.800
<v Speaker 3>Trump administrations deal with Eli Lilly and Novo Nordisks to

1:11:53.880 --> 1:11:56.320
<v Speaker 3>lower the cash price of weight loss drugs is putt

1:11:56.320 --> 1:11:59.040
<v Speaker 3>pressure on employers and insurance to negotiate better costs. But

1:11:59.120 --> 1:12:02.760
<v Speaker 3>let's just talk about the GLP ones are no doubt

1:12:02.760 --> 1:12:06.280
<v Speaker 3>about it. People are eating less. There's kind of this

1:12:06.360 --> 1:12:08.160
<v Speaker 3>healthier thing going on. I don't know if you want

1:12:08.200 --> 1:12:10.240
<v Speaker 3>to call it healthy, but it is making people lose

1:12:10.320 --> 1:12:12.320
<v Speaker 3>a lot of weight, and so you do wonder how

1:12:12.360 --> 1:12:15.080
<v Speaker 3>this plays into food consumption and what they really want

1:12:15.080 --> 1:12:16.840
<v Speaker 3>to eat. So just kind of out there.

1:12:16.960 --> 1:12:18.559
<v Speaker 4>Also on the GLP once, did you see the news

1:12:18.560 --> 1:12:22.960
<v Speaker 4>this week, Eli Lilly dropping CVS's drug benefit plan no employers, Okay,

1:12:23.360 --> 1:12:27.639
<v Speaker 4>this after CVS stopped covering it's blockbuster weight loss drug

1:12:27.640 --> 1:12:30.880
<v Speaker 4>in favor of Arrival medication from Novo Nordisk. This according

1:12:30.920 --> 1:12:32.800
<v Speaker 4>to people familiar with the matter, So, oh my god.

1:12:33.080 --> 1:12:35.800
<v Speaker 4>Eli Lily was like, We're not going to use CVS's

1:12:35.840 --> 1:12:39.839
<v Speaker 4>drug plan because you guys are not actually covering our product.

1:12:40.040 --> 1:12:42.200
<v Speaker 3>Sounds like a negotiating tactic. I mean they're dropping the

1:12:42.240 --> 1:12:45.320
<v Speaker 3>whole plan, hey' costume right? All right? All right, A

1:12:45.320 --> 1:12:47.320
<v Speaker 3>lot of stuff this week. Ky still ahead on Bloomberg

1:12:47.320 --> 1:12:50.240
<v Speaker 3>Business Week, how one family left the London suburbs for

1:12:50.360 --> 1:12:53.800
<v Speaker 3>a small village in France actually Provence. All for the

1:12:53.840 --> 1:12:54.840
<v Speaker 3>love of wine.

1:12:55.280 --> 1:12:58.000
<v Speaker 4>More on the other side with the owner of Maison Mirabo.

1:12:58.479 --> 1:12:59.160
<v Speaker 9>This is going.

1:13:02.920 --> 1:13:06.920
<v Speaker 2>You're listening to the Bloomberg Business Weekdaily podcast. Catch us

1:13:07.000 --> 1:13:10.479
<v Speaker 2>live weekday afternoons from two to five pm Eastern Listen

1:13:10.479 --> 1:13:14.040
<v Speaker 2>on Apple CarPlay and Android Auto with the Bloomberg Business app,

1:13:14.200 --> 1:13:18.480
<v Speaker 2>or watch us live on YouTube. It's the stuff of fantasies.

1:13:18.520 --> 1:13:19.640
<v Speaker 3>Carol, We've talked about this.

1:13:19.760 --> 1:13:22.400
<v Speaker 4>Yeah, you quit your corporate job in London, you move

1:13:22.479 --> 1:13:25.599
<v Speaker 4>to the south of France with your three kids, your wife,

1:13:26.000 --> 1:13:26.599
<v Speaker 4>you make rose.

1:13:26.800 --> 1:13:28.439
<v Speaker 6>It sounds magical, it does well.

1:13:28.439 --> 1:13:31.400
<v Speaker 4>It wasn't a fantasy for Stephen Kronk, the founder and

1:13:31.600 --> 1:13:35.519
<v Speaker 4>CEO of Maison Mirabo. He and his wife did exactly that.

1:13:35.600 --> 1:13:39.439
<v Speaker 4>It was sixteen, sixteen years ago. It was yeah, wow,

1:13:39.960 --> 1:13:42.360
<v Speaker 4>at the height of the global financial crisis.

1:13:42.479 --> 1:13:43.240
<v Speaker 3>Talk about timing.

1:13:43.520 --> 1:13:46.400
<v Speaker 4>Steven's with us right now here in the Bloomberg Interactive

1:13:46.400 --> 1:13:47.360
<v Speaker 4>Brokers studio and.

1:13:47.320 --> 1:13:48.200
<v Speaker 6>He brought Rose.

1:13:49.320 --> 1:13:51.960
<v Speaker 4>First of all, it's been a little while since we

1:13:52.080 --> 1:13:53.759
<v Speaker 4>last spoke to here, at least two years.

1:13:53.960 --> 1:13:56.439
<v Speaker 6>Yes, how's business been since then?

1:13:56.920 --> 1:13:58.439
<v Speaker 9>It's well, it's interesting question.

1:13:58.560 --> 1:14:01.439
<v Speaker 14>It's been up, and I would say, I mean, I

1:14:01.439 --> 1:14:05.719
<v Speaker 14>think Province Rose is still the benchmark for rose around

1:14:05.760 --> 1:14:07.400
<v Speaker 14>the world, so we're very lucky we've got that.

1:14:07.520 --> 1:14:09.479
<v Speaker 9>But there's been a lot of headwinds, as I'm srure

1:14:09.520 --> 1:14:09.920
<v Speaker 9>you're aware.

1:14:10.080 --> 1:14:12.920
<v Speaker 4>Yeah it Look, there's the climate change headwind but there's

1:14:12.960 --> 1:14:15.840
<v Speaker 4>also the changing consumer tastes headwinds, as.

1:14:15.720 --> 1:14:18.680
<v Speaker 6>Well as tariffs exactly, which is the thing that is

1:14:18.720 --> 1:14:19.639
<v Speaker 6>the biggest headwind.

1:14:20.760 --> 1:14:23.080
<v Speaker 9>They all combine together, this is the perfect storm.

1:14:23.439 --> 1:14:26.679
<v Speaker 14>So there's the health kick, there's the cannabis movement, there's

1:14:26.800 --> 1:14:30.120
<v Speaker 14>the no and low alcohol movement, there's the zimpic movement

1:14:30.120 --> 1:14:32.800
<v Speaker 14>because that suppresses people's desire to have a drink. So

1:14:32.880 --> 1:14:34.479
<v Speaker 14>it's like everything and then you load on top of

1:14:34.479 --> 1:14:36.759
<v Speaker 14>that the tariffs. It's like, yeah, what has happened?

1:14:37.000 --> 1:14:38.960
<v Speaker 3>So what does that mean for you guys? Like how

1:14:39.000 --> 1:14:41.479
<v Speaker 3>do you pivot? How do you adjust around that?

1:14:42.000 --> 1:14:43.840
<v Speaker 14>Well, there's a lot of things we can't change. But

1:14:43.880 --> 1:14:46.759
<v Speaker 14>what we try and do is is with the tariffs,

1:14:46.800 --> 1:14:48.599
<v Speaker 14>for example, we've tried to swallow as much as we can.

1:14:48.680 --> 1:14:50.960
<v Speaker 14>We don't want mirror Bau to be much more expensive

1:14:51.000 --> 1:14:53.720
<v Speaker 14>in the store, so we've tried to swallow that, which

1:14:53.760 --> 1:14:55.800
<v Speaker 14>is it's hard, but we're keeping our fingers crossed that

1:14:55.880 --> 1:14:57.080
<v Speaker 14>maybe this is going to change.

1:14:57.240 --> 1:15:00.240
<v Speaker 4>Remind everybody the price range from the United States, so

1:15:00.479 --> 1:15:02.479
<v Speaker 4>you don't want the price to go up in the US.

1:15:02.520 --> 1:15:06.599
<v Speaker 14>So yeah, so we have generally between twenty and thirty dollars, okay,

1:15:06.680 --> 1:15:07.320
<v Speaker 14>and we want to try and.

1:15:07.400 --> 1:15:09.280
<v Speaker 9>Keep below thirty dollars because that's a price point.

1:15:09.400 --> 1:15:10.920
<v Speaker 6>So then how does that hit your margins.

1:15:11.200 --> 1:15:12.880
<v Speaker 9>Yeah, it's not great, but you.

1:15:12.800 --> 1:15:15.240
<v Speaker 14>Know, I'd rather build a brand, and you know, i'd

1:15:15.320 --> 1:15:17.479
<v Speaker 14>rather people carry on drinking Mirbo, especially. You know, we're

1:15:17.479 --> 1:15:19.559
<v Speaker 14>coming out of Thanksgiving and Provence Rose is just so

1:15:19.600 --> 1:15:22.760
<v Speaker 14>good with Turkey, So you know, I'm just trying to

1:15:22.800 --> 1:15:25.280
<v Speaker 14>hope this goes away and just carry on pushing my

1:15:25.320 --> 1:15:25.800
<v Speaker 14>wines here.

1:15:25.960 --> 1:15:26.240
<v Speaker 12>Yeah.

1:15:26.360 --> 1:15:28.040
<v Speaker 3>Well, you know, and I've said I wasn't a big

1:15:28.120 --> 1:15:30.559
<v Speaker 3>Rose drinker, but I've got to say yours is pretty

1:15:30.640 --> 1:15:33.800
<v Speaker 3>pretty magical and I've really enjoyed it, and we're going

1:15:33.840 --> 1:15:36.479
<v Speaker 3>to taste it and know Tim is sniffing it out.

1:15:36.760 --> 1:15:39.439
<v Speaker 3>You're in the United States, talk to us about the

1:15:39.520 --> 1:15:40.800
<v Speaker 3>US market specifically.

1:15:41.320 --> 1:15:45.800
<v Speaker 14>So I've started farming regeneratively for some of my wines, right,

1:15:45.840 --> 1:15:50.639
<v Speaker 14>and the regenerative movement seems to be centered many around California. Now, yeah, so,

1:15:50.760 --> 1:15:52.640
<v Speaker 14>I mean, I'm selling my wines in forty countries, but

1:15:52.720 --> 1:15:56.560
<v Speaker 14>California is the epicenter of the regenerative movement. The California

1:15:56.600 --> 1:15:59.160
<v Speaker 14>Department of Food and Agriculture has been the first state

1:15:59.600 --> 1:16:04.639
<v Speaker 14>to to define the words regenerative agriculture. And meanwhile, we've

1:16:04.680 --> 1:16:07.439
<v Speaker 14>got you know, the wine resions there, so pazoobils, Nappers,

1:16:07.479 --> 1:16:10.360
<v Speaker 14>and Oma. They are the most regenerative wine areas in

1:16:10.400 --> 1:16:10.679
<v Speaker 14>the world.

1:16:11.160 --> 1:16:13.960
<v Speaker 6>So what does that mean for one of County.

1:16:14.040 --> 1:16:17.600
<v Speaker 3>I know where t is from, but what does that

1:16:17.680 --> 1:16:20.880
<v Speaker 3>mean that you would you do more here in the

1:16:20.960 --> 1:16:21.559
<v Speaker 3>United States?

1:16:21.880 --> 1:16:24.320
<v Speaker 14>I'm just trying to sell more wine here. And so

1:16:24.400 --> 1:16:27.920
<v Speaker 14>the retailers say, like air One and Sprouts and Bristol

1:16:27.960 --> 1:16:31.679
<v Speaker 14>Farms and Hagen's, they're really getting behind the regenerative movement

1:16:31.720 --> 1:16:34.000
<v Speaker 14>that they're looking to seek out regenerative.

1:16:33.640 --> 1:16:35.960
<v Speaker 3>Farmer because there's an awareness of it, right, because they.

1:16:35.800 --> 1:16:37.280
<v Speaker 9>Know what it means for farmers, they know what it

1:16:37.280 --> 1:16:37.960
<v Speaker 9>means for people to.

1:16:38.120 --> 1:16:41.080
<v Speaker 4>Not everybody knows what regenerative farming means, and especially how

1:16:41.120 --> 1:16:45.040
<v Speaker 4>that is applied to farming the grapes that go into wine,

1:16:45.080 --> 1:16:47.240
<v Speaker 4>that go into rose. So for for people who don't

1:16:47.280 --> 1:16:49.639
<v Speaker 4>know what it is, explain regenerative farming in the context

1:16:49.760 --> 1:16:50.760
<v Speaker 4>of viniculture.

1:16:51.160 --> 1:16:54.600
<v Speaker 14>So regenerative, as the name suggested, is about regenerating soil, fertility,

1:16:54.960 --> 1:16:58.760
<v Speaker 14>and regenerating nature in simple terms, So you know, it's

1:16:58.760 --> 1:17:01.360
<v Speaker 14>the if you think about it, what was organic farming.

1:17:01.120 --> 1:17:02.479
<v Speaker 9>Called before the First World War?

1:17:02.960 --> 1:17:03.360
<v Speaker 6>Farming?

1:17:03.880 --> 1:17:07.479
<v Speaker 9>Right, But then there was a huge amount of pressure here.

1:17:07.520 --> 1:17:11.240
<v Speaker 14>Everyone's so worried about industrial farming, so the heavy tillage

1:17:11.280 --> 1:17:13.360
<v Speaker 14>and in particular heavy use of chemicals.

1:17:13.720 --> 1:17:17.519
<v Speaker 9>So there's been a move certainly since the First World

1:17:17.560 --> 1:17:18.680
<v Speaker 9>War and the Second World War as well.

1:17:18.680 --> 1:17:21.200
<v Speaker 14>We've seen a lot of nitrogen being used in farms

1:17:21.200 --> 1:17:22.799
<v Speaker 14>and a lot of heavy tillage, a lot of chemicals,

1:17:22.840 --> 1:17:25.719
<v Speaker 14>pesticide and so on, and that's just been killing our soils.

1:17:26.000 --> 1:17:27.160
<v Speaker 9>This is a catastrophe.

1:17:27.720 --> 1:17:29.400
<v Speaker 14>You know, we were worried about famine at the end

1:17:29.400 --> 1:17:31.679
<v Speaker 14>of the Second World War, so rightfully we were worried

1:17:31.680 --> 1:17:35.080
<v Speaker 14>about feeding our population, but we haven't been measuring food

1:17:35.120 --> 1:17:37.160
<v Speaker 14>in the right value. It's been measured by calories rather

1:17:37.160 --> 1:17:38.080
<v Speaker 14>than nutrient density.

1:17:39.080 --> 1:17:41.120
<v Speaker 3>So I didn't mean to interrupt, but it was just interesting.

1:17:41.160 --> 1:17:43.840
<v Speaker 3>We just came off a discussion of talking about the

1:17:43.880 --> 1:17:46.960
<v Speaker 3>cost of meat and just what's going on in that world.

1:17:46.960 --> 1:17:49.920
<v Speaker 3>But I do think about, like is our soil globally,

1:17:50.840 --> 1:17:53.920
<v Speaker 3>how tortured is it or how bad is it because

1:17:53.920 --> 1:17:55.000
<v Speaker 3>of the industrial farming.

1:17:55.439 --> 1:17:56.960
<v Speaker 14>A lot of it, most of it, I would say,

1:17:57.000 --> 1:18:00.840
<v Speaker 14>is on life support. It's really it's catastroph So when

1:18:00.840 --> 1:18:03.240
<v Speaker 14>I was gonna say, when I drive up from NA

1:18:03.320 --> 1:18:06.240
<v Speaker 14>to Pazzoobils, which is one of the most regeneritive regions.

1:18:05.840 --> 1:18:08.759
<v Speaker 9>In wine up the I five and you see.

1:18:08.560 --> 1:18:11.200
<v Speaker 14>Thousands of acres of fruit trees and nut trees that

1:18:11.240 --> 1:18:13.800
<v Speaker 14>are on life support. It's like the moon's surface, and

1:18:13.840 --> 1:18:16.360
<v Speaker 14>so it's kept they're kept live by these extern inputs

1:18:16.600 --> 1:18:18.160
<v Speaker 14>and what you end up with a product, but they're

1:18:18.160 --> 1:18:21.280
<v Speaker 14>not very tasty and they're not very nutritionally dense. So

1:18:21.320 --> 1:18:23.840
<v Speaker 14>we need to actually start restoring soil health globally, and

1:18:23.920 --> 1:18:25.280
<v Speaker 14>regenerative is a way of doing that.

1:18:25.520 --> 1:18:27.519
<v Speaker 3>So you can do that in terms of all that soil.

1:18:27.560 --> 1:18:30.120
<v Speaker 3>How long does it take the process of getting it back, It.

1:18:30.680 --> 1:18:33.280
<v Speaker 14>Can happen quite quickly, and that's one reason why we

1:18:33.360 --> 1:18:35.639
<v Speaker 14>so I run a nonprofit as well called the Regenerative

1:18:35.720 --> 1:18:40.600
<v Speaker 14>Viticulture Foundation. So viticulture is agriculture for vines, and we're

1:18:40.680 --> 1:18:43.400
<v Speaker 14>launching these initiatives called one block challenges. So we did

1:18:43.400 --> 1:18:45.000
<v Speaker 14>one in Paso, we've done one, we're doing one in

1:18:45.080 --> 1:18:51.040
<v Speaker 14>Napo Opus one in fact a great winery winery, so

1:18:51.080 --> 1:18:53.080
<v Speaker 14>we're doing one there on the eighteenth of November, and

1:18:53.080 --> 1:18:55.639
<v Speaker 14>we're challenging the growers in Napa and as we did

1:18:55.640 --> 1:18:59.599
<v Speaker 14>in Pazo, to just transition one block of their vineyard

1:18:59.680 --> 1:19:02.240
<v Speaker 14>to re for a year and then come back and

1:19:02.280 --> 1:19:05.360
<v Speaker 14>see the difference. It's incredible how generous Mother Nature is

1:19:05.439 --> 1:19:05.880
<v Speaker 14>coming back.

1:19:06.040 --> 1:19:09.360
<v Speaker 4>You said, you've driven up California on the five, but

1:19:09.520 --> 1:19:11.280
<v Speaker 4>if you go a little west, you could drive up

1:19:11.320 --> 1:19:13.880
<v Speaker 4>on Highway one or the one oh one and then

1:19:14.360 --> 1:19:16.840
<v Speaker 4>go on San Marcos pass through Los of Libos where

1:19:16.880 --> 1:19:19.519
<v Speaker 4>there is a lot of agriculture and a lot of

1:19:19.600 --> 1:19:23.400
<v Speaker 4>vineyards as well. Is the movement expanding throughout the state

1:19:23.439 --> 1:19:25.720
<v Speaker 4>of California and beyond the state of California.

1:19:25.840 --> 1:19:26.040
<v Speaker 9>Yeah.

1:19:26.080 --> 1:19:29.840
<v Speaker 14>Absolutely, And that's the point of my nonprofit is to

1:19:29.840 --> 1:19:31.920
<v Speaker 14>really encourage farmers, give them the reasons to do it.

1:19:32.240 --> 1:19:36.000
<v Speaker 14>Everything around region, as far as we're concerned, is using science.

1:19:36.640 --> 1:19:37.880
<v Speaker 9>So you know, if we can.

1:19:37.800 --> 1:19:41.120
<v Speaker 14>Rebuild soils and rebuild the soil organic matter, rebuild soil carbon,

1:19:41.360 --> 1:19:43.599
<v Speaker 14>they end up with much better tasting wines. But also

1:19:43.600 --> 1:19:46.599
<v Speaker 14>you see nature coming back. My mother Nature owes us

1:19:46.640 --> 1:19:49.479
<v Speaker 14>no favors, but she'll come back. But you've got to

1:19:49.479 --> 1:19:51.960
<v Speaker 14>create that right environment. Getting wean yourself off the synthetics

1:19:51.960 --> 1:19:52.719
<v Speaker 14>and get yourself back.

1:19:52.600 --> 1:19:54.479
<v Speaker 3>Into natural you know, it's kind of I always think

1:19:54.479 --> 1:19:58.320
<v Speaker 3>about Stephen what happened during the pandemic, and the sky's

1:19:58.320 --> 1:20:02.280
<v Speaker 3>got bluer, and the animals came out and quickly, and

1:20:02.320 --> 1:20:04.760
<v Speaker 3>it's just a reminder when we see the impact of

1:20:04.800 --> 1:20:07.360
<v Speaker 3>climate change and it feels so devastating, it feels like

1:20:07.360 --> 1:20:10.760
<v Speaker 3>there's no way back. I always go back to the

1:20:10.800 --> 1:20:14.200
<v Speaker 3>pandemic and how the world seemed so much better, so

1:20:14.320 --> 1:20:16.960
<v Speaker 3>we can do better. How expensive is it to do

1:20:17.080 --> 1:20:20.479
<v Speaker 3>regenerative farming and the ROI on something like that, the

1:20:20.520 --> 1:20:21.800
<v Speaker 3>return on investment.

1:20:21.680 --> 1:20:24.080
<v Speaker 14>Well, we're working a little bit with UC Davis and

1:20:24.120 --> 1:20:26.719
<v Speaker 14>we're working with other growers to see the data points

1:20:26.760 --> 1:20:29.360
<v Speaker 14>coming out of it, because basically we think, and certainly

1:20:29.600 --> 1:20:32.240
<v Speaker 14>evidence to my farm is once you've made that transition,

1:20:32.680 --> 1:20:36.240
<v Speaker 14>your input costs drop, so you're not buying as many

1:20:36.360 --> 1:20:40.600
<v Speaker 14>external inputs, fewer tractor passes. You're letting nature kind of

1:20:40.600 --> 1:20:43.360
<v Speaker 14>get everything back into balance. So we think actually costs

1:20:43.400 --> 1:20:45.040
<v Speaker 14>will be more or less the same as they are

1:20:45.280 --> 1:20:46.240
<v Speaker 14>with regular farming.

1:20:46.400 --> 1:20:48.719
<v Speaker 3>All right, So we're talking with Stephen Kronk. He's founder

1:20:48.720 --> 1:20:51.760
<v Speaker 3>and chief executive officer of Maison Mirabow. He's here in

1:20:51.760 --> 1:20:54.360
<v Speaker 3>our Bloomberg Interactive Broker's studio. So that leads us to

1:20:54.800 --> 1:20:58.120
<v Speaker 3>your product. There's three bottles that I'm looking at in

1:20:58.120 --> 1:20:59.639
<v Speaker 3>front of me, and there's one that we know we've

1:20:59.640 --> 1:21:02.479
<v Speaker 3>opened up up. Tell me what we're going to sample here?

1:21:02.680 --> 1:21:05.439
<v Speaker 14>So this is one day by mirror both. This is new.

1:21:06.080 --> 1:21:09.920
<v Speaker 14>This is why I'm here. This is this the bottles Miraboa.

1:21:10.000 --> 1:21:10.599
<v Speaker 9>So we're the.

1:21:10.560 --> 1:21:13.720
<v Speaker 14>First certified regenerative organic winery in France soon and I.

1:21:13.720 --> 1:21:14.639
<v Speaker 3>Are competing for the bottles.

1:21:16.280 --> 1:21:19.559
<v Speaker 14>Well, this is no, no, no, So one day, one

1:21:19.640 --> 1:21:21.559
<v Speaker 14>day by Mirabeau. We call it one day because one

1:21:21.640 --> 1:21:23.439
<v Speaker 14>day all vineyards will be found like this.

1:21:23.600 --> 1:21:24.320
<v Speaker 3>Oh I love that.

1:21:24.439 --> 1:21:27.680
<v Speaker 14>And it's the first regenerative certified wine to come out

1:21:27.720 --> 1:21:30.040
<v Speaker 14>of France, to come out of Provence, and it's something

1:21:30.080 --> 1:21:33.200
<v Speaker 14>that we're really really proud of because rather like our

1:21:33.320 --> 1:21:36.800
<v Speaker 14>state wine, which is also the first certified regenda organic wine,

1:21:37.640 --> 1:21:40.320
<v Speaker 14>this is this is, this is us certifying our growers.

1:21:40.880 --> 1:21:43.080
<v Speaker 14>So we have to make this work at scale. You know,

1:21:43.120 --> 1:21:45.800
<v Speaker 14>you can't just have little niche boutique wineries enjoying the

1:21:45.840 --> 1:21:46.439
<v Speaker 14>benefits of.

1:21:46.400 --> 1:21:47.920
<v Speaker 3>Regent and it can be done at scale.

1:21:47.920 --> 1:21:50.320
<v Speaker 14>It can be done at scale, and migrowers in Provence

1:21:50.400 --> 1:21:54.240
<v Speaker 14>are just absolutely crazy about getting involved, you know, because

1:21:54.360 --> 1:21:57.960
<v Speaker 14>organic is I would say flat growth, but you know

1:21:58.000 --> 1:22:00.960
<v Speaker 14>a lot of basic organic isn't also for soil, you know,

1:22:01.040 --> 1:22:02.920
<v Speaker 14>so so we have to use common Why is that?

1:22:03.320 --> 1:22:05.839
<v Speaker 3>So that makes me nervous because I think there's an assumption.

1:22:06.160 --> 1:22:08.479
<v Speaker 14>Well, so organic is the best kind of farming you

1:22:08.520 --> 1:22:10.599
<v Speaker 14>can you can do when you're doing it properly, when

1:22:10.640 --> 1:22:13.599
<v Speaker 14>you're doing it regeneratively, so regendat ive organic is the

1:22:13.600 --> 1:22:16.559
<v Speaker 14>gold standard. Okay, But if you are a lot of

1:22:16.960 --> 1:22:18.800
<v Speaker 14>a lot of organic farms, certainly in the wine world,

1:22:18.840 --> 1:22:20.080
<v Speaker 14>can still be monocultures.

1:22:20.520 --> 1:22:22.000
<v Speaker 9>So you don't want any weeds in the vineyard.

1:22:22.080 --> 1:22:24.479
<v Speaker 14>You wanted to look immaculate, so if the weeds come in,

1:22:24.880 --> 1:22:28.040
<v Speaker 14>then you know, plow them away. Yeah, but actually that's wrong.

1:22:28.120 --> 1:22:29.960
<v Speaker 14>You know, you need to let nature into the vineyard.

1:22:30.200 --> 1:22:32.160
<v Speaker 14>You can't have these these monocultures.

1:22:32.479 --> 1:22:33.080
<v Speaker 9>It's funny.

1:22:33.120 --> 1:22:34.760
<v Speaker 14>I was with somebody the other day and they were saying, yeah,

1:22:34.800 --> 1:22:38.519
<v Speaker 14>my husband's a real germophobe, and it's sanitizing his hands

1:22:38.520 --> 1:22:40.599
<v Speaker 14>and everything is just so so I.

1:22:40.520 --> 1:22:41.519
<v Speaker 3>Do I know this one?

1:22:42.920 --> 1:22:45.960
<v Speaker 14>I said, Okay, tell me how often does he get sick?

1:22:46.040 --> 1:22:48.680
<v Speaker 14>And she said all the time, you know, And we

1:22:48.760 --> 1:22:51.920
<v Speaker 14>need to we need to rough rummage around of the dirt.

1:22:51.960 --> 1:22:53.720
<v Speaker 14>We need we need to have those bugs, and we

1:22:53.760 --> 1:22:55.920
<v Speaker 14>need to be healthy and build out resilience. And that's

1:22:55.960 --> 1:22:59.000
<v Speaker 14>what regenerative does you know monoculture is the same thing

1:22:59.000 --> 1:23:00.679
<v Speaker 14>as sanitizing a farm.

1:23:00.800 --> 1:23:02.639
<v Speaker 3>Well, I will say with kids, they say, like introduce

1:23:02.680 --> 1:23:04.360
<v Speaker 3>pets and dogs. It's a good thing for them to

1:23:04.360 --> 1:23:12.320
<v Speaker 3>be around germs and stuff. So Stephen, cheers, thanks for

1:23:12.320 --> 1:23:12.720
<v Speaker 3>having me in.

1:23:13.640 --> 1:23:15.759
<v Speaker 4>Carol's drinking the wine as we speak.

1:23:15.760 --> 1:23:16.280
<v Speaker 9>That's what it's for.

1:23:16.760 --> 1:23:17.160
<v Speaker 8>The rose.

1:23:17.720 --> 1:23:19.200
<v Speaker 3>That's nice. So this is the one day.

1:23:20.160 --> 1:23:20.760
<v Speaker 9>This is one day.

1:23:20.840 --> 1:23:24.080
<v Speaker 3>Yeah, and rose, I mean it varies, right like it varies.

1:23:24.080 --> 1:23:27.360
<v Speaker 14>But the good thing about Provence roses it's always dry.

1:23:27.200 --> 1:23:29.360
<v Speaker 14>So because you can get some roses that are quite

1:23:29.439 --> 1:23:32.080
<v Speaker 14>high and residual sugar and you can that's not very

1:23:32.080 --> 1:23:35.559
<v Speaker 14>food friendly and yeah, very healthy, but Provence roses always

1:23:35.600 --> 1:23:36.400
<v Speaker 14>always being dry.

1:23:36.520 --> 1:23:39.040
<v Speaker 4>So I always associate rose with warm weather in the summer.

1:23:39.120 --> 1:23:41.240
<v Speaker 4>But you argue that it's the perfect thing to drink

1:23:41.240 --> 1:23:43.360
<v Speaker 4>at Thanksgiving dinner, right, Why is that?

1:23:43.640 --> 1:23:45.799
<v Speaker 9>Because it's just such a food versatile wine.

1:23:45.920 --> 1:23:46.400
<v Speaker 6>It's great.

1:23:46.560 --> 1:23:47.280
<v Speaker 9>It's got a little bit.

1:23:47.240 --> 1:23:48.640
<v Speaker 14>Of a city that cuts through the sort of the

1:23:49.120 --> 1:23:51.639
<v Speaker 14>sweet flavors of the cranberry sauce or but it cuts

1:23:51.640 --> 1:23:55.240
<v Speaker 14>through the gravy. It's just a refreshing mouthfeel once you've

1:23:55.240 --> 1:23:57.160
<v Speaker 14>had a great, big, you know.

1:23:57.120 --> 1:23:59.639
<v Speaker 4>Fork of potato or something that's Stephen Kronk, the owner

1:23:59.720 --> 1:24:00.960
<v Speaker 4>of me Son Mirabeau.

1:24:01.160 --> 1:24:03.000
<v Speaker 3>I have to say, this is the second time that

1:24:03.000 --> 1:24:05.240
<v Speaker 3>we've talked with Steven, and we're hoping actually to get

1:24:05.920 --> 1:24:07.880
<v Speaker 3>his wife back soon because they have a book out

1:24:07.920 --> 1:24:12.000
<v Speaker 3>too about their experience and it's all about food and

1:24:12.600 --> 1:24:15.519
<v Speaker 3>recipes and cooking. I mean, Provence is a very very

1:24:15.560 --> 1:24:18.760
<v Speaker 3>special place. But it's interesting what he's trying to do

1:24:18.800 --> 1:24:22.880
<v Speaker 3>with regenerative farming. We have done several segments on this,

1:24:22.880 --> 1:24:26.719
<v Speaker 3>this concept where you basically don't strip the soil, and

1:24:26.840 --> 1:24:28.720
<v Speaker 3>I think farmers used to kind of try and do

1:24:28.800 --> 1:24:31.559
<v Speaker 3>that way back when of maybe like rotating crops and

1:24:31.560 --> 1:24:32.240
<v Speaker 3>so on and so forth.

1:24:32.240 --> 1:24:34.559
<v Speaker 4>But yeah, pre the Great Wars, pre the Great.

1:24:34.360 --> 1:24:37.360
<v Speaker 3>Wars, but like the what we do now in terms

1:24:37.400 --> 1:24:40.599
<v Speaker 3>of industrial farming and chemicals, it's a whole different ballgame.

1:24:40.680 --> 1:24:43.479
<v Speaker 4>But it's such a big story because you know, post

1:24:43.600 --> 1:24:46.800
<v Speaker 4>World War Two, as Stephen explained to us, there was

1:24:46.840 --> 1:24:49.519
<v Speaker 4>such a demand for feeding a growing number of people

1:24:49.600 --> 1:24:52.320
<v Speaker 4>here in the US and around the world. You also

1:24:52.400 --> 1:24:55.280
<v Speaker 4>had industrialization, so you had fewer people actually living on

1:24:55.320 --> 1:24:57.719
<v Speaker 4>farms farming for themselves and farming for a great number

1:24:57.720 --> 1:24:59.400
<v Speaker 4>of people, so you had to figure out how to

1:24:59.479 --> 1:25:02.520
<v Speaker 4>do more with us. And I wonder if the regenerative

1:25:02.560 --> 1:25:04.760
<v Speaker 4>movement will grow beyond sort of a niche or small

1:25:04.840 --> 1:25:08.559
<v Speaker 4>number of players that don't cater to a whole host

1:25:08.560 --> 1:25:08.960
<v Speaker 4>of people.

1:25:09.080 --> 1:25:11.760
<v Speaker 3>I mean, took a Chipotle's history way back when when

1:25:11.760 --> 1:25:15.240
<v Speaker 3>the original founder was there, Steve El's, but like that

1:25:15.400 --> 1:25:18.520
<v Speaker 3>was kind of their mission of trying to do regenerative

1:25:18.560 --> 1:25:21.240
<v Speaker 3>farming farming responsibly. The other thing I would say, Tim

1:25:21.240 --> 1:25:23.080
<v Speaker 3>that's always crazy is when you and I do any

1:25:23.160 --> 1:25:25.679
<v Speaker 3>kind of food story and we talk about how difficult

1:25:25.760 --> 1:25:28.280
<v Speaker 3>it is to kind of move beyond industrial farming. How

1:25:28.360 --> 1:25:31.320
<v Speaker 3>much food is wasted and ultimately thrown out at the

1:25:31.320 --> 1:25:33.040
<v Speaker 3>same time, so many people who don't have food. But

1:25:33.080 --> 1:25:35.280
<v Speaker 3>this idea of if we were maybe smarter in our

1:25:35.320 --> 1:25:39.400
<v Speaker 3>food production and consumption, maybe we wouldn't have we could

1:25:39.439 --> 1:25:41.640
<v Speaker 3>regenerative farming could be easier to do.

1:25:41.760 --> 1:25:43.880
<v Speaker 4>I don't know, We're a little guilty of it at times.

1:25:43.920 --> 1:25:46.160
<v Speaker 4>I know you end up finding something in the back

1:25:46.200 --> 1:25:48.000
<v Speaker 4>of the fridge. It's like a little shriveled up and

1:25:48.000 --> 1:25:48.960
<v Speaker 4>you're like, I can't eat this.

1:25:49.040 --> 1:25:52.800
<v Speaker 3>Now, smaller fridge, smaller. You know, refrigerators are smaller. I

1:25:52.800 --> 1:25:55.320
<v Speaker 3>have heard now over in Europe and stuff like they

1:25:55.320 --> 1:25:59.040
<v Speaker 3>shop every day. I listen. I had two refrigerators and

1:25:59.040 --> 1:25:59.800
<v Speaker 3>a freezer growing up.

1:25:59.840 --> 1:26:01.320
<v Speaker 4>Yeah, but there were how many of you nine?

1:26:01.400 --> 1:26:03.639
<v Speaker 3>I know, but still it was a lot of space.

1:26:04.120 --> 1:26:07.880
<v Speaker 3>I'm just saying, no judge, all.

1:26:07.800 --> 1:26:09.599
<v Speaker 4>Right, how'd we get there from wine?

1:26:09.720 --> 1:26:12.680
<v Speaker 3>I don't know the wine was good. I'm going to

1:26:12.760 --> 1:26:14.840
<v Speaker 3>just put that out there. Full disclosure. Hey, that wraps

1:26:14.880 --> 1:26:17.240
<v Speaker 3>up the weekend edition of Bloomberg Business Week from Bloomberg Radio.

1:26:17.280 --> 1:26:18.320
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