WEBVTT - Bloomberg Businessweek Weekend - August 25th, 2023

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<v Speaker 1>This is Bloomberg Business. Wait inside from the reporters and

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<v Speaker 1>editors who bring you America's most trusted business magazine, plus

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<v Speaker 1>global business, finance and tech news. The Bloomberg Business Week

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<v Speaker 1>Podcast with Carol Messer and Tim Stenebeck from Bloomberg Radio.

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<v Speaker 2>Hi, everyone, Welcome to the Bloomberg Business Wee Weekend Podcast.

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<v Speaker 2>Another week where there were still YEP earnings more than

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<v Speaker 2>a dozen retailers, and then Tim, we know the big

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<v Speaker 2>one and video.

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<v Speaker 3>Yeah, people use the term blowout quarter a lot. This

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<v Speaker 3>was actually a blowout quarter.

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<v Speaker 2>For Invidia, absolutely and the stock was moving on the news.

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<v Speaker 2>All right, we'll kind of get to that a little

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<v Speaker 2>bit later. On politics also front and center, as former

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<v Speaker 2>President Donald Trump, Rudy Giuliani and others turned themselves into

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<v Speaker 2>Georgia authorities as part of the criminal case related to

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<v Speaker 2>the twenty twenty presidential election. And then of course, the

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<v Speaker 2>Kansas City Fed's annual gathering and Jackson Hole put monetary

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<v Speaker 2>policy front and center again.

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<v Speaker 3>With the economy in mind, we'll floor the cost of

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<v Speaker 3>climate change and extreme heat when it comes to American

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<v Speaker 3>productivity in addition to their deadly toll on our fellow citizens.

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<v Speaker 2>Plus more details on the highly anticipated IPO of the

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<v Speaker 2>British ship designer ARM Holdings, and why the company needed

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<v Speaker 2>more than thirty five hundred words in its prospectus to

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<v Speaker 2>explain the risks it faces when it comes to China.

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<v Speaker 3>All that to come, we begin with the past week's

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<v Speaker 3>kickoff to the twenty twenty four presidential election, as eight

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<v Speaker 3>Republican hopefuls squared off in their first debate in Milwaukee,

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<v Speaker 3>with each looking to break Donald Trump's grip on the

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<v Speaker 3>party's voters, and yet only one seems to really be trying,

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<v Speaker 3>former New Jersey Governor Chris Christy.

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<v Speaker 1>We have to dispense with the person who said that

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<v Speaker 1>we need to suspend the Constitution to put forward his

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<v Speaker 1>political career. Mike Pence said no, and he deserves credit

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<v Speaker 1>for it.

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<v Speaker 2>That was former Governor Christy going after the former president

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<v Speaker 2>and praising the and Vice President Mike Pence on the

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<v Speaker 2>debate stage. Yet here in lies the rub. Long before

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<v Speaker 2>Christy devoted himself to stopping Trump, he helped annoy him,

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<v Speaker 2>becoming the first Republican candidate to drop out and endorse

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<v Speaker 2>Donald Trump back in twenty sixteen.

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<v Speaker 3>Head of the debate and writing about Chris Christi. In

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<v Speaker 3>this week's issue of Bloomberg BusinessWeek is the magazine's national

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<v Speaker 3>correspondent Josh Green, who offered up some insights into the

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<v Speaker 3>long shot strategy.

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<v Speaker 4>As I was looking at the race, of looking at

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<v Speaker 4>the field, one guy stood out, and now was Chris Christie.

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<v Speaker 4>Because Christy is a famously aggressive debater, very effective. He's

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<v Speaker 4>a big, larger than life character, and this cycle he's

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<v Speaker 4>the only Republican character who's really going after Donald Trump

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<v Speaker 4>with both barrels. So it looked like that this could

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<v Speaker 4>be a kind of inflection point in the race, one

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<v Speaker 4>that kind of lent itself to Christie's talents. And so

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<v Speaker 4>I went and traveled with him around South Carolina and

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<v Speaker 4>New Hampshire, talked to him about what his plan had

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<v Speaker 4>been and how he had gone from being an important

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<v Speaker 4>Trump endorser in twenty sixteen to today running against him

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<v Speaker 4>as Rum's loudest critic.

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<v Speaker 2>Tell us about your time spent with Chris Christy and

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<v Speaker 2>what you kind of took away from that. And I

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<v Speaker 2>am curious about how you maybe challenged him about Wait

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<v Speaker 2>a minute, you were his friend, now you're his critic.

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<v Speaker 2>Are you going to go back to being his friend?

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<v Speaker 5>Talk to us about that.

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<v Speaker 4>Yeah, I mean it was fascinating from kind of an

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<v Speaker 4>anthropological standpoint because I went down to South Carolina with Christy.

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<v Speaker 4>You know, Trump is very popular with Republicans still, and

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<v Speaker 4>so I was expecting a lot of kind of Trump

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<v Speaker 4>maga people to be in there shouting down Christy and

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<v Speaker 4>all sorts of confrontations, and instead what I found was

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<v Speaker 4>just the opposite. It was almost like a group therapy

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<v Speaker 4>session of you know, Republicans, some of who'd driven for

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<v Speaker 4>hours and even from other states to kind of come

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<v Speaker 4>and commune with Christy and kind of find the crowd

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<v Speaker 4>of people who were Republicans but didn't like Donald Trump.

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<v Speaker 4>There's sort of fewer and fewer numbers these days, and

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<v Speaker 4>all of them were sort of worshipful of Chris Christie.

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<v Speaker 4>So it's really interesting to see that for all that

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<v Speaker 4>we see on the news and on social media about

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<v Speaker 4>how popular Trump continues to be, despite indictments, despite impeachments,

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<v Speaker 4>there still is a group of Republicans who are never

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<v Speaker 4>Trumpers and who are hoping that Trump won't be the

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<v Speaker 4>nominee in twenty twenty four. I think the problem for

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<v Speaker 4>Christie and the challenge for Christie is that there aren't

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<v Speaker 4>enough of them to win him the nomination.

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<v Speaker 3>That's what I was just going to have a broader appeal. Yeah,

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<v Speaker 3>I was just going to ask you if there are

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<v Speaker 3>enough of those to actually help him get a nomination.

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<v Speaker 3>I mean, in an alternate universe, certainly, you know that

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<v Speaker 3>could work. So, Josh, what about Chris Christy today? Who

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<v Speaker 3>is he and sort of how did he recover from

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<v Speaker 3>what happened at the end of his term with the

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<v Speaker 3>old you know, time for some traffic problems in Fort Lee.

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<v Speaker 4>Thanks, exactly what I mean. Look, let's remember, you know,

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<v Speaker 4>Christy at one point was the rising star of the

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<v Speaker 4>Republican Party before Donald Trump came along. Popular blue state

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<v Speaker 4>governor could have run for president against Obama in twenty twelve,

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<v Speaker 4>chose to wait and then wound up in trouble with

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<v Speaker 4>the George Washington Bridge scale that tarnished the end of

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<v Speaker 4>his president But he jumped in anyway in twenty sixteen

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<v Speaker 4>and looked like a viable candidate until Trump came along

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<v Speaker 4>and kind of stole his shtick as kind of the

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<v Speaker 4>confrontational outer borrow you know, poke a finger in your

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<v Speaker 4>chest guy. He just did it better and So when

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<v Speaker 4>Christy recognized that he wasn't going to be the nominee,

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<v Speaker 4>he made a move to become Trump's VP and became

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<v Speaker 4>the first guy to endorse him. And so that shocked

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<v Speaker 4>a lot of people because at the time, it's.

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<v Speaker 2>Like, can I just say, it's like watching the Bachelorette,

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<v Speaker 2>and you know, it's that bachelorette that just doesn't have

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<v Speaker 2>a chance, but like just going for the rose, it

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<v Speaker 2>was like pain.

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<v Speaker 4>And instead it went to Mike Pence, and he wound

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<v Speaker 4>up kind of getting humiliated. He got fired from Trump's transition,

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<v Speaker 4>and I think his reputation was really kind of in tatters,

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<v Speaker 4>you know, as the Trump administration went off the rails,

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<v Speaker 4>a lot of people, Republicans and Democrats, I think, scorned

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<v Speaker 4>Christie for having enabled Trump. And so one of the

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<v Speaker 4>things that I think is going on, and I get

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<v Speaker 4>at this and the piece and I talked to Christie

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<v Speaker 4>about it, is is he really running for the Republican nomination?

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<v Speaker 4>Does he really think he can be Trump? Or is

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<v Speaker 4>he really aiming here for personal redemption? Because if he

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<v Speaker 4>does manage to stop Trump, even if he himself is

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<v Speaker 4>not the nominee, I think a lot of people will

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<v Speaker 4>be very thankful and that he'll in a sense redeem

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<v Speaker 4>himself in a tone for how he helped Donald Trump

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<v Speaker 4>seven years ago.

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<v Speaker 5>Well, don't you feel like Josh?

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<v Speaker 2>And that's where I put a note as I read

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<v Speaker 2>through your story, you know, is impact if he doesn't

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<v Speaker 2>get the nomination and you get to it? Is it

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<v Speaker 2>just the point that this is someone who actually is

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<v Speaker 2>standing up and kind of poking the bear and saying,

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<v Speaker 2>wait a minute, you did this, you did that? You know,

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<v Speaker 2>is this what we want for a president? So you know,

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<v Speaker 2>is that how he redeems himself Ultimately? Then is that

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<v Speaker 2>going to be useful politically? Will it change the minds

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<v Speaker 2>of voters?

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<v Speaker 6>Well?

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<v Speaker 4>I think what he's trying to do there is essentially

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<v Speaker 4>bait Trump into attacking him. Like, the challenge for all

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<v Speaker 4>of these candidates is they need to emerge as the

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<v Speaker 4>main anti Trump alternative. For a while, it looked like

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<v Speaker 4>that was going to be De Santis, but De Santus

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<v Speaker 4>is now in a tailspin. So if Christy, you know,

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<v Speaker 4>his hope was to get on a debate stage with

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<v Speaker 4>Trump and kind of go mono amano and beat him

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<v Speaker 4>up and hope that Republicans recognize that Hey, you know,

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<v Speaker 4>there's a new sheriff in town. Christy is also this

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<v Speaker 4>tough guy. Maybe we should switch our allegiance to him. Well,

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<v Speaker 4>he doesn't have that option now, and Chris Christy can

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<v Speaker 4>still stand out from the rest of the pack by

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<v Speaker 4>going after Trump. I think the question is will Republican

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<v Speaker 4>voters follow him there? And the early polling evidence is

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<v Speaker 4>that they won't. And I sat down with Christy and

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<v Speaker 4>asked him about that, and he said, essentially, listen, I

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<v Speaker 4>know none of you guys in the media and none

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<v Speaker 4>of polsters believe that I'm going to beat Trump. But

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<v Speaker 4>when I do, when I go out there and beat

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<v Speaker 4>him up in the debates and his own voters see that,

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<v Speaker 4>they're going to think to themselves. And this is a

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<v Speaker 4>quote from Chris Christie to me, Okay, he did that

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<v Speaker 4>to Trump, what in God's name will we do to

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<v Speaker 4>Joe Biden? And at that point, you know, Christy is

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<v Speaker 4>hoping that they'll switch their allegiance. That is the theory.

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<v Speaker 4>We don't have a lot of evidence yet to suggest

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<v Speaker 4>that it's going to pan out that way, but I

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<v Speaker 4>would point out that there's a new Republican poll out

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<v Speaker 4>and sure enough, Chris Christi has leap frogs Ron Desantas

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<v Speaker 4>and now stands in second place behind Donald Trump. So

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<v Speaker 4>still within the realm of possibility. A lot of it

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<v Speaker 4>is going to depend on how Christy does.

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<v Speaker 7>In the debate.

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<v Speaker 3>So it could, it could happen. But let's say it

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<v Speaker 3>doesn't happen, and let's say that former President Trump is

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<v Speaker 3>once again for a third time Republican nominee Trump. What

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<v Speaker 3>happens to Chris Christy then? Does he do what so

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<v Speaker 3>many other never Trumpers did, and and and gather around

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<v Speaker 3>and say, well, I guess he is the Republican nominee

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<v Speaker 3>and we'd rather see him as president than Joe Biden.

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<v Speaker 4>You know, it's it's it's a great question, and it's

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<v Speaker 4>one that Christy ducks by saying he doesn't think that

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<v Speaker 4>that's going to happen, but it's it's gonna It's really

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<v Speaker 4>tough to go from being anti Trump to pro Trump,

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<v Speaker 4>to anti Trump to back to pro trup. You know,

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<v Speaker 4>at some point, you know, you have to put on

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<v Speaker 4>a neck brace from all that whiplash. I think what

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<v Speaker 4>Christy is really hoping for that no matter how things

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<v Speaker 4>turned out, that he's redeemed himself in the eyes of

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<v Speaker 4>the political world to an extent, simply by fighting the

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<v Speaker 4>good fight that the other Republican candidates don't seem to

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<v Speaker 4>be willing to and trying to stop Donald Trump. Now,

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<v Speaker 4>that might not get him an important political job, but look, hey,

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<v Speaker 4>maybe in four years if the Trump era passes, you know,

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<v Speaker 4>maybe if the party sours on Trump and nominate somebody

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<v Speaker 4>else a Ron de Santas, Tim Scott, you know, Christy

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<v Speaker 4>will come to look like a like a brave guy,

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<v Speaker 4>like a prophet, and maybe find a role for himself

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<v Speaker 4>in politics. Is perhaps an attorney general or maybe you know,

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<v Speaker 4>four years from now, eight years ago, he's only sixty

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<v Speaker 4>years old, which is like adolescents in national politics. He

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<v Speaker 4>could theoretically run for president in a future cycle where

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<v Speaker 4>the MAGA vote isn't as powerful and still have a chance.

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<v Speaker 4>So I think the main thing, what is.

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<v Speaker 3>This world you describe, Josh, Well, it's on a far off,

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<v Speaker 3>on a distant plankay.

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<v Speaker 4>You know, people have been predicting for years and years

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<v Speaker 4>that eventually Trump's hold on the Republican Party would break.

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<v Speaker 4>But look, if he loses the election in twenty twenty

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<v Speaker 4>four to Joe Biden. I think that's going to go

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<v Speaker 4>a long way towards severing the party's connection to Trump.

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<v Speaker 4>And if he wins, he can only serve one term.

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<v Speaker 4>So there is the light at the end of the

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<v Speaker 4>tunnel for non Trump Republicans, just in the sense that, like,

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<v Speaker 4>eventually Trump can't be the president anymore and somebody else

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<v Speaker 4>is going to kind of get that role. So I

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<v Speaker 4>think Christy is also acting with an eye toward what

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<v Speaker 4>that future might look like. But of course he's banking

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<v Speaker 4>on the fact that we'll have to look very, very

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<v Speaker 4>different than our Republican president does. Today.

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<v Speaker 3>That was Bloomberg business Week National correspondent Josh Green. You

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<v Speaker 3>can hear more from him and his outlook for the

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<v Speaker 3>Republican presidential field on our podcast feed Coming.

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<v Speaker 2>Up, we examined the cost of climate change and why

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<v Speaker 2>it affects way more businesses.

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<v Speaker 5>Than you might think.

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<v Speaker 3>Economist Claudia sam helps break down the data when we

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<v Speaker 3>come back. You're listening to Bloomberg business Week. This is Bloomberg.

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<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:10:57.600 --> 0:11:01.120
<v Speaker 1>live weekday afternoons from three to sixty darn Listen.

0:11:00.840 --> 0:11:02.200
<v Speaker 3>On Bloomberg dot com.

0:11:02.240 --> 0:11:05.680
<v Speaker 1>The iHeartRadio app and the Bloomberg Business app, or watch

0:11:05.760 --> 0:11:07.800
<v Speaker 1>us live on YouTube.

0:11:08.160 --> 0:11:11.040
<v Speaker 2>Okay, yes, we focused on Jackson Hole and Jay Powell

0:11:11.080 --> 0:11:13.240
<v Speaker 2>and all the global central bankers in attendance at the

0:11:13.280 --> 0:11:16.360
<v Speaker 2>Kansas City Fed's annual gathering. We'll talk of fly fishing

0:11:16.440 --> 0:11:18.840
<v Speaker 2>as well. You can read all about it though on

0:11:18.840 --> 0:11:21.560
<v Speaker 2>the Bloomberg and also at Bloomberg dot com. And yet,

0:11:21.679 --> 0:11:24.920
<v Speaker 2>what we keep thinking a lot about is climate change.

0:11:25.160 --> 0:11:29.079
<v Speaker 2>The impact, the lives lost, the costs, the productivity hits.

0:11:29.320 --> 0:11:32.959
<v Speaker 3>Yeah, another week with extreme weather and incredibly distressing headlines.

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<v Speaker 3>The aftermath of Tropical Storm Hillary pummeling California and other

0:11:36.720 --> 0:11:39.640
<v Speaker 3>parts of the Western US. Overall, Carroll the nation is

0:11:39.679 --> 0:11:42.400
<v Speaker 3>on track to experience its worst year for smoke exposure

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<v Speaker 3>in decades, this after wildfires in Canada sent toxic plumes

0:11:46.160 --> 0:11:48.880
<v Speaker 3>drifting across the border to the Midwest and the East

0:11:48.920 --> 0:11:52.040
<v Speaker 3>Coast earlier this summer. And then, of course there's Maui,

0:11:52.360 --> 0:11:55.480
<v Speaker 3>where fires have pushed the official death toll into triple digits,

0:11:55.800 --> 0:11:58.280
<v Speaker 3>with more than a thousand people still unaccounted for.

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<v Speaker 2>And just remember climate change, it's a glo global thing.

0:12:01.040 --> 0:12:04.120
<v Speaker 2>Fires and floods are tragedies. Of course, one of our

0:12:04.160 --> 0:12:07.079
<v Speaker 2>next gas rights that we also shouldn't discount the economic

0:12:07.200 --> 0:12:10.480
<v Speaker 2>damage caused by higher temperatures. Claudia sam is the founder

0:12:10.480 --> 0:12:14.280
<v Speaker 2>of Some Consulting, a former fed economist, She's also the

0:12:14.320 --> 0:12:17.040
<v Speaker 2>creator of the Psalm Rule of recession indicator, and she

0:12:17.120 --> 0:12:18.439
<v Speaker 2>writes for Bloomberg Opinion.

0:12:18.640 --> 0:12:21.760
<v Speaker 3>Claudia's latest article on the terminal discusses how heat drags

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<v Speaker 3>on economic productivity. She and Bloomberg Opinion editor and climate

0:12:25.000 --> 0:12:27.160
<v Speaker 3>columnists Mark Gonglof joined us with more.

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<v Speaker 8>There's a human tragedy absolutely thinking about the economic cost.

0:12:32.640 --> 0:12:36.559
<v Speaker 8>It really brings it to all of us, right, and

0:12:36.800 --> 0:12:41.559
<v Speaker 8>the way in which high heats, rising temperatures one channel,

0:12:41.559 --> 0:12:44.680
<v Speaker 8>an important channel to affect the US economy is through

0:12:44.720 --> 0:12:48.200
<v Speaker 8>reductions in labor productivity. I mean it's a lot hard

0:12:48.240 --> 0:12:51.280
<v Speaker 8>when it's high heat. It's a lot harder.

0:12:51.120 --> 0:12:51.720
<v Speaker 6>To do the work.

0:12:51.760 --> 0:12:55.559
<v Speaker 8>And we have twenty percent of occupations in the United

0:12:55.559 --> 0:12:59.440
<v Speaker 8>States have heat exposure. It's not just agricultural workers, it's

0:12:59.480 --> 0:13:04.360
<v Speaker 8>also to construction workers. So there's a wide group of

0:13:04.400 --> 0:13:08.480
<v Speaker 8>people that are affected by the high heat and it

0:13:08.520 --> 0:13:09.880
<v Speaker 8>shows up in the economy.

0:13:10.360 --> 0:13:12.839
<v Speaker 2>Yeah, it's you know, as we talk about the costs,

0:13:12.880 --> 0:13:15.720
<v Speaker 2>and first and foremost the loss of human life and

0:13:15.480 --> 0:13:20.679
<v Speaker 2>the devastation obviously front and center. But yeah, we have

0:13:20.720 --> 0:13:23.240
<v Speaker 2>to start looking at this increasingly. We talk about it

0:13:23.280 --> 0:13:25.440
<v Speaker 2>a lot. I feel like have for years and years,

0:13:25.720 --> 0:13:27.480
<v Speaker 2>but man, I feel like we're paying the piper now,

0:13:27.520 --> 0:13:29.880
<v Speaker 2>We're really getting some real numbers in terms of all

0:13:29.920 --> 0:13:33.360
<v Speaker 2>this costs. I want to go to you, Mark because

0:13:34.160 --> 0:13:38.440
<v Speaker 2>as every day there is news stuff that is related

0:13:38.480 --> 0:13:43.760
<v Speaker 2>to our climate, vultile weather patterns and so on. When

0:13:43.760 --> 0:13:47.440
<v Speaker 2>you hear Claudia speak, how I mean this is just

0:13:47.480 --> 0:13:50.880
<v Speaker 2>going to continue, correct because at this point we can't

0:13:50.920 --> 0:13:52.319
<v Speaker 2>really slow the train, if you.

0:13:52.280 --> 0:13:56.040
<v Speaker 4>Will, well, we could slow the train, but only by

0:13:56.240 --> 0:13:59.640
<v Speaker 4>making some drastic choices, by making some different choices about

0:13:59.640 --> 0:14:03.679
<v Speaker 4>how we produce energy. And you know, her great column

0:14:03.679 --> 0:14:06.080
<v Speaker 4>reminded me. And it's just it's one piece of a

0:14:06.120 --> 0:14:08.640
<v Speaker 4>thing that I've kind of been going on about for

0:14:08.679 --> 0:14:10.160
<v Speaker 4>a while now, which is, you know, we talk a

0:14:10.160 --> 0:14:12.960
<v Speaker 4>lot about the costs of the clean energy transition. You know,

0:14:13.000 --> 0:14:16.000
<v Speaker 4>we got to it costs a lot of money to

0:14:16.080 --> 0:14:20.560
<v Speaker 4>upgrade our infrastructure, to put in charging stations, to build

0:14:20.560 --> 0:14:23.800
<v Speaker 4>out solar and wind. Although it's much cheaper than book

0:14:23.840 --> 0:14:27.360
<v Speaker 4>building a coal plant, it did, you know, But still

0:14:27.480 --> 0:14:30.160
<v Speaker 4>people complain about the costs and the cost will be high.

0:14:30.560 --> 0:14:33.360
<v Speaker 4>But to me, I think we need to think of

0:14:33.400 --> 0:14:37.840
<v Speaker 4>them as investments because the costs of not doing that

0:14:37.960 --> 0:14:40.480
<v Speaker 4>are so great, And I think Claudia, I was just

0:14:40.640 --> 0:14:43.680
<v Speaker 4>doing some very rough math. Claudia as the economist, I

0:14:43.680 --> 0:14:46.080
<v Speaker 4>am not. But you know, if by twenty fifty we

0:14:46.080 --> 0:14:49.120
<v Speaker 4>could be losing three hundred billion a year from heat

0:14:49.200 --> 0:14:53.200
<v Speaker 4>related productivity and losses alone in the US economy, and

0:14:53.240 --> 0:14:56.480
<v Speaker 4>then you get into other economies and then all the

0:14:56.520 --> 0:14:59.160
<v Speaker 4>other effects that we're seeing, and again you just you

0:14:59.240 --> 0:15:03.760
<v Speaker 4>just ran through the game of all the climate disasters

0:15:03.800 --> 0:15:06.360
<v Speaker 4>we're seeing in like the past couple of months. Uh,

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<v Speaker 4>those are all extremely costly, and they lead to long

0:15:09.360 --> 0:15:12.200
<v Speaker 4>term health costs too, and that we haven't even begun

0:15:12.240 --> 0:15:14.320
<v Speaker 4>to really tally up. And so the cost of not

0:15:14.360 --> 0:15:16.760
<v Speaker 4>doing anything or much greater than the cost of doing

0:15:16.800 --> 0:15:17.480
<v Speaker 4>something about this.

0:15:17.600 --> 0:15:20.600
<v Speaker 3>Well, Claudia, talk a little bit about that, because you know,

0:15:20.640 --> 0:15:25.080
<v Speaker 3>and perhaps the idea that you know, when we talk

0:15:25.120 --> 0:15:29.880
<v Speaker 3>about costs, we don't associate what Mark is talking about, right,

0:15:29.960 --> 0:15:32.680
<v Speaker 3>We don't associate the cost that you write about. When

0:15:32.680 --> 0:15:35.280
<v Speaker 3>people talk about costs. They think about how much a

0:15:35.360 --> 0:15:39.400
<v Speaker 3>cost to actually do things rather than you know, subtractive costs. Right,

0:15:39.400 --> 0:15:43.400
<v Speaker 3>how much how much these disasters remove and take away

0:15:43.440 --> 0:15:46.920
<v Speaker 3>from from productivity from a behavioral perspective, How do we

0:15:46.960 --> 0:15:49.080
<v Speaker 3>shift the conversation to actually do this in a way

0:15:49.080 --> 0:15:50.400
<v Speaker 3>that's you know, really productive.

0:15:52.320 --> 0:15:53.080
<v Speaker 6>It's hard.

0:15:53.440 --> 0:15:56.200
<v Speaker 8>I mean, the one of the things I talk about

0:15:56.240 --> 0:15:59.440
<v Speaker 8>in the piece is the human costs, the economic costs.

0:15:59.480 --> 0:15:59.960
<v Speaker 6>They all.

0:16:01.480 --> 0:16:06.600
<v Speaker 8>Our most for lower income workers, communities that have you know,

0:16:06.680 --> 0:16:10.320
<v Speaker 8>their housing isn't such that it makes it comfortable when

0:16:10.360 --> 0:16:13.880
<v Speaker 8>the temperature is high, and so you have to you

0:16:13.960 --> 0:16:17.000
<v Speaker 8>have to recognize we have a problem now.

0:16:17.680 --> 0:16:17.840
<v Speaker 9>Right.

0:16:17.880 --> 0:16:20.600
<v Speaker 8>You can disagree about how much happens in the future

0:16:20.640 --> 0:16:23.760
<v Speaker 8>with climate change impacts, how much we can adapt, and

0:16:23.840 --> 0:16:29.160
<v Speaker 8>yet right now we are losing productivity because we're not

0:16:29.280 --> 0:16:32.520
<v Speaker 8>dealing with these high temperatures. And frankly, there are only

0:16:32.760 --> 0:16:35.920
<v Speaker 8>there are very few attempts to even try to you

0:16:36.440 --> 0:16:40.520
<v Speaker 8>try to locally mitigate some of the effects on workers,

0:16:41.000 --> 0:16:42.760
<v Speaker 8>and we're not even doing a good job at that.

0:16:43.920 --> 0:16:44.960
<v Speaker 5>What's the turning point?

0:16:45.000 --> 0:16:47.600
<v Speaker 2>I guess, like I'm going to be really obnoxious, But

0:16:47.720 --> 0:16:49.520
<v Speaker 2>is it when the gardener doesn't show up because it's

0:16:49.520 --> 0:16:50.880
<v Speaker 2>so hot and they can't work in this.

0:16:51.400 --> 0:16:52.400
<v Speaker 5>You know, what is it that.

0:16:52.400 --> 0:16:57.680
<v Speaker 2>Makes mark people maybe pay more attention. We've had conversations,

0:16:57.680 --> 0:17:00.600
<v Speaker 2>We've start to have more conversations with you about this.

0:17:00.920 --> 0:17:01.920
<v Speaker 5>You know, climate.

0:17:01.640 --> 0:17:05.720
<v Speaker 2>Change, the volatility not a new thing, but I keep wondering.

0:17:05.800 --> 0:17:07.800
<v Speaker 2>I always thought, okay, wait, if you can make money

0:17:07.840 --> 0:17:11.280
<v Speaker 2>off of this, ultimately people will sit up and take notice.

0:17:11.480 --> 0:17:16.119
<v Speaker 2>What is it that ultimately makes people think more about

0:17:16.119 --> 0:17:18.440
<v Speaker 2>the impact, the financial impact and do.

0:17:18.440 --> 0:17:19.000
<v Speaker 5>The right thing.

0:17:20.119 --> 0:17:23.240
<v Speaker 4>I think they are starting human impact? Yeah, well, the

0:17:23.280 --> 0:17:25.720
<v Speaker 4>human impact is one thing. And there was a study

0:17:25.720 --> 0:17:28.360
<v Speaker 4>out that suggested that people are more likely to take

0:17:28.440 --> 0:17:33.479
<v Speaker 4>action when they're angry. So that's one thing. Maybe seeing people,

0:17:33.640 --> 0:17:36.400
<v Speaker 4>maybe having your home destroyed and seeing people you love

0:17:37.280 --> 0:17:39.320
<v Speaker 4>fall ill to this stuff will make you angry. But

0:17:39.720 --> 0:17:44.399
<v Speaker 4>in terms of you know what we can do right now?

0:17:45.440 --> 0:17:47.359
<v Speaker 4>There is there are things we can do right now

0:17:47.359 --> 0:17:50.359
<v Speaker 4>to protect workers. And we are starting to talk about

0:17:50.359 --> 0:17:54.760
<v Speaker 4>this more because we are seeing workers dying from extreme heat.

0:17:54.840 --> 0:17:58.760
<v Speaker 4>And OSHA was supposed to. President Biden told OSHA two

0:17:58.840 --> 0:18:02.040
<v Speaker 4>years ago to set some federal safety standards for workers,

0:18:02.440 --> 0:18:05.360
<v Speaker 4>and they still haven't done it, And I do they

0:18:05.400 --> 0:18:08.760
<v Speaker 4>are they They're getting another push right now because this

0:18:08.800 --> 0:18:11.639
<v Speaker 4>summer has been so extreme, and so we are starting

0:18:11.720 --> 0:18:15.680
<v Speaker 4>to think about it, we are starting to talk about it. Unfortunately, though,

0:18:15.720 --> 0:18:17.720
<v Speaker 4>it is a case where we just we seem to

0:18:17.800 --> 0:18:21.480
<v Speaker 4>need to be smacked in the face with it to

0:18:22.520 --> 0:18:27.360
<v Speaker 4>be somewhat optimistic. I think just this one disaster after

0:18:27.400 --> 0:18:29.840
<v Speaker 4>another that we're seeing that that will be costly. I mean,

0:18:29.880 --> 0:18:34.040
<v Speaker 4>we're seeing more billion dollar disasters coming than than ever before.

0:18:34.400 --> 0:18:36.320
<v Speaker 4>FEMA is about to run out of money and we're

0:18:36.320 --> 0:18:38.920
<v Speaker 4>not even in the height of hurricane season yet, which

0:18:38.960 --> 0:18:41.399
<v Speaker 4>is a scary thing. It's got enough money to cover Maui,

0:18:41.800 --> 0:18:44.200
<v Speaker 4>but what would and it's going to have to spend

0:18:44.240 --> 0:18:47.200
<v Speaker 4>a bunch more money to cover the flooding in California,

0:18:47.400 --> 0:18:50.639
<v Speaker 4>and then we still haven't even started a hurricane season

0:18:50.680 --> 0:18:52.840
<v Speaker 4>really yet. We could hope for a break there, we

0:18:52.840 --> 0:18:55.600
<v Speaker 4>could hope for an into these disasters, but we've had

0:18:55.600 --> 0:18:58.760
<v Speaker 4>three or four months of them steadily, and those are

0:18:58.800 --> 0:19:00.679
<v Speaker 4>the kind of things that might really start to get

0:19:00.720 --> 0:19:05.040
<v Speaker 4>attention when the money's run out and disasters are piling up.

0:19:05.359 --> 0:19:05.560
<v Speaker 1>Right.

0:19:05.960 --> 0:19:09.320
<v Speaker 2>Well, we hope we can continue this conversation with you both,

0:19:09.400 --> 0:19:12.680
<v Speaker 2>because really smart voices and perspectives on this. Mark Gungloff,

0:19:12.920 --> 0:19:15.160
<v Speaker 2>editor of Bloomberg Opinion on Zoom in New York City

0:19:15.160 --> 0:19:18.400
<v Speaker 2>at Clodia some founder of some consulting, Bloomberg Opinion columnist

0:19:18.480 --> 0:19:21.520
<v Speaker 2>on Zoom from DC. You know it reminds me, you know,

0:19:21.600 --> 0:19:25.000
<v Speaker 2>there's a story on the Bloomberg bond. Investors can't rely

0:19:25.040 --> 0:19:26.760
<v Speaker 2>on credit ratings to give them a fair assessment of

0:19:26.760 --> 0:19:28.639
<v Speaker 2>the climate risks they're exposed to and should brace for

0:19:28.640 --> 0:19:29.160
<v Speaker 2>trouble ahead.

0:19:29.160 --> 0:19:29.800
<v Speaker 5>That's according to.

0:19:29.800 --> 0:19:32.800
<v Speaker 2>The Institute for Energy Economics and Financial Analysis.

0:19:32.840 --> 0:19:34.800
<v Speaker 5>So it's real, folks.

0:19:34.760 --> 0:19:37.760
<v Speaker 3>Still head On Bloomberg BusinessWeek, our magazine team spotlights the

0:19:37.800 --> 0:19:41.800
<v Speaker 3>prescription benefit managers or PBMs that many of us rely on,

0:19:41.840 --> 0:19:45.399
<v Speaker 3>and explains why they're increasingly accused of driving drug prices

0:19:45.480 --> 0:19:47.880
<v Speaker 3>higher rather than helping to keep them down.

0:19:48.240 --> 0:19:50.480
<v Speaker 9>You know, what the pbm say is that they lower

0:19:50.680 --> 0:19:54.840
<v Speaker 9>drug prices by getting these They lower net costs by

0:19:54.840 --> 0:19:58.880
<v Speaker 9>getting these rebates and other discounts from the farmer companies.

0:19:58.920 --> 0:20:02.120
<v Speaker 9>They aggregate buying power, they aggregate demand, and they can

0:20:02.160 --> 0:20:04.560
<v Speaker 9>go to the table with pharma and say, you know,

0:20:04.920 --> 0:20:08.000
<v Speaker 9>give us, give us money back on these drugs. So

0:20:08.040 --> 0:20:11.800
<v Speaker 9>the question is you know where does that go and

0:20:11.880 --> 0:20:13.879
<v Speaker 9>who really benefits from it?

0:20:14.280 --> 0:20:15.440
<v Speaker 3>This is Bloomberg.

0:20:16.800 --> 0:20:20.359
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:20:20.400 --> 0:20:24.439
<v Speaker 1>live weekday afternoons from three to six Easter on Bloomberg Radio,

0:20:24.600 --> 0:20:27.879
<v Speaker 1>the Bloomberg Business App, and YouTube. You can also listen

0:20:28.000 --> 0:20:31.119
<v Speaker 1>live on Amazon Alexa from our flagship New York station.

0:20:31.560 --> 0:20:34.600
<v Speaker 1>Just say Alexa play Bloomberg eleven thirty.

0:20:36.000 --> 0:20:40.040
<v Speaker 2>PBMs. You know, pharmacy benefit managers. They negotiate cheaper prices

0:20:40.040 --> 0:20:43.120
<v Speaker 2>for employers and health plans. That's the goal. But as

0:20:43.119 --> 0:20:46.800
<v Speaker 2>our Bloomberg BusinessWeek team reports, these same entities are also

0:20:46.920 --> 0:20:50.280
<v Speaker 2>pocketing drug maker's cash, and they're under fire from all

0:20:50.280 --> 0:20:53.360
<v Speaker 2>directions right now. Blue Shield of California about one week

0:20:53.359 --> 0:20:56.560
<v Speaker 2>ago set it or replace some services from CVS Health's

0:20:56.560 --> 0:21:00.440
<v Speaker 2>care Mark PBM with an amalgam of rival offering, and

0:21:00.520 --> 0:21:02.800
<v Speaker 2>that sent shares of CBS sliding.

0:21:03.000 --> 0:21:05.800
<v Speaker 3>An array of officials, from Federal Trade Commission Chair Lena

0:21:05.880 --> 0:21:08.760
<v Speaker 3>Kahn to Florida Governor Ron de Santis, they want more

0:21:08.760 --> 0:21:12.439
<v Speaker 3>transparency from these PBMs. A story in the Business section

0:21:12.480 --> 0:21:14.640
<v Speaker 3>of the new issue of the magazine details how these

0:21:14.640 --> 0:21:18.480
<v Speaker 3>PBMs actually grab extra money from the very parties they're

0:21:18.480 --> 0:21:21.680
<v Speaker 3>supposed to be playing hardball against. For more, let's bring

0:21:21.680 --> 0:21:24.240
<v Speaker 3>in the author of the story, Bloomberg News healthcare reporter

0:21:24.320 --> 0:21:27.879
<v Speaker 3>John Tazzi, along with the editor of Bloomberg BusinessWeek, Joel Weber.

0:21:28.240 --> 0:21:32.760
<v Speaker 10>Well, I just had no idea how lucrative is to

0:21:32.920 --> 0:21:36.200
<v Speaker 10>get between you and your prescriptions, And it turns out

0:21:36.760 --> 0:21:39.520
<v Speaker 10>that we're not alone, and how that feels like a

0:21:39.520 --> 0:21:43.040
<v Speaker 10>big deal, and that even places like the FTC has

0:21:43.080 --> 0:21:46.959
<v Speaker 10>also shown an interest. John has been on this for

0:21:47.000 --> 0:21:51.080
<v Speaker 10>a while and kept me abreast of his interest in it,

0:21:51.400 --> 0:21:52.840
<v Speaker 10>and so I was really glad to see it. But

0:21:53.920 --> 0:21:56.120
<v Speaker 10>how does this break down, John, Because the very people

0:21:56.720 --> 0:22:00.840
<v Speaker 10>who are supposed to be keeping our drug prices affordable

0:22:01.359 --> 0:22:03.560
<v Speaker 10>maybe don't have my best interests at heart.

0:22:03.800 --> 0:22:07.280
<v Speaker 9>Yeah, so this has been an issue in go.

0:22:08.040 --> 0:22:10.800
<v Speaker 10>You were just you know, like with somebody that we could,

0:22:10.880 --> 0:22:11.800
<v Speaker 10>you know, take advantage.

0:22:11.880 --> 0:22:14.080
<v Speaker 9>I'm sorry, John, This has been an issue in the

0:22:14.080 --> 0:22:17.119
<v Speaker 9>industry for a long time. People who followed it know

0:22:17.359 --> 0:22:20.760
<v Speaker 9>about rebates. So basically what happens is you go to

0:22:20.800 --> 0:22:24.040
<v Speaker 9>the pharmacy, you fill a prescription, your health plan pays

0:22:24.160 --> 0:22:28.679
<v Speaker 9>the full dollar amount of that prescription, and then after

0:22:28.760 --> 0:22:33.360
<v Speaker 9>the fact, at some point, the drug manufacturer, the pharma company,

0:22:33.760 --> 0:22:37.399
<v Speaker 9>sends a rebate for part of the value of the

0:22:37.480 --> 0:22:42.240
<v Speaker 9>drug to your pharmacy benefit manager, and the pharmacy benefit

0:22:42.280 --> 0:22:46.000
<v Speaker 9>manager sends part or all of that rebate back to

0:22:46.080 --> 0:22:48.560
<v Speaker 9>your health plan. And this is something that has been

0:22:48.560 --> 0:22:51.440
<v Speaker 9>debated for years how much of the rebate gets passed through.

0:22:51.880 --> 0:22:54.440
<v Speaker 9>Employers and other people who pay for healthcare have said

0:22:54.640 --> 0:22:57.119
<v Speaker 9>we need to have one hundred percent of the rebates

0:22:57.119 --> 0:22:59.720
<v Speaker 9>passed through. There's been this increasing pressure to kind of

0:22:59.720 --> 0:23:02.359
<v Speaker 9>get all this money coming from the drug makers back

0:23:02.400 --> 0:23:05.720
<v Speaker 9>to the people who are ultimately paying for the drug.

0:23:06.000 --> 0:23:10.720
<v Speaker 10>Okay, so Tim mentioned that there are some new players around,

0:23:10.960 --> 0:23:13.359
<v Speaker 10>How is this going down within the industry? Like this

0:23:13.840 --> 0:23:16.720
<v Speaker 10>does seem like you know that there's an opportunity here

0:23:16.880 --> 0:23:19.240
<v Speaker 10>to you know, maybe take advantage of consumers.

0:23:19.240 --> 0:23:23.800
<v Speaker 3>But there are other approaches that you know are out

0:23:23.840 --> 0:23:25.240
<v Speaker 3>there as options, right.

0:23:25.200 --> 0:23:26.720
<v Speaker 9>So, I mean, one thing to know is that there's

0:23:26.720 --> 0:23:29.480
<v Speaker 9>been a tremendous amount of consolidation in the market over

0:23:29.520 --> 0:23:33.040
<v Speaker 9>the years. So there are now three main PBMs that

0:23:33.119 --> 0:23:35.159
<v Speaker 9>control about eighty percent of the market.

0:23:35.400 --> 0:23:37.359
<v Speaker 2>I hadn't realized have been around since the sixties. I

0:23:37.359 --> 0:23:38.560
<v Speaker 2>don't know why I thought it was a newer thing,

0:23:38.600 --> 0:23:39.360
<v Speaker 2>but forgive me good.

0:23:39.440 --> 0:23:43.840
<v Speaker 9>Yeah, And they're also like those businesses are integrated with

0:23:43.920 --> 0:23:47.919
<v Speaker 9>much larger companies that also own health insurance companies. You know,

0:23:48.000 --> 0:23:50.880
<v Speaker 9>you have CVS Health, which owns ATNA, United Health, WHI

0:23:50.880 --> 0:23:55.160
<v Speaker 9>tones Optimarx PBM signal, which tones Express Scripts PBM, So

0:23:55.400 --> 0:23:57.879
<v Speaker 9>they have their arms in a lot of different businesses

0:23:57.960 --> 0:24:01.720
<v Speaker 9>that are all related. There is growing competition in the

0:24:01.720 --> 0:24:03.600
<v Speaker 9>PBM market. There are a lot of new entrants, a

0:24:03.640 --> 0:24:07.760
<v Speaker 9>lot of new tech focused companies, companies that say they're

0:24:08.800 --> 0:24:12.399
<v Speaker 9>you know, making more transparent offerings, but they're very small,

0:24:13.040 --> 0:24:17.320
<v Speaker 9>and you know what traction they're getting is still you know,

0:24:17.440 --> 0:24:19.760
<v Speaker 9>still to be seen because those three big players still

0:24:19.760 --> 0:24:20.520
<v Speaker 9>dominate the market.

0:24:20.680 --> 0:24:22.800
<v Speaker 3>Do you need a PBM?

0:24:23.000 --> 0:24:26.240
<v Speaker 9>You know, the industry says that employers are not forced

0:24:26.280 --> 0:24:29.000
<v Speaker 9>to contract for PBM services and they choose to do

0:24:29.080 --> 0:24:31.840
<v Speaker 9>so anyway, and you know, that's that's their position. I

0:24:31.840 --> 0:24:38.439
<v Speaker 9>think realistically, you know, there's there's not a clear alternative

0:24:38.520 --> 0:24:41.800
<v Speaker 9>right now. If you're providing prescription drug coverage. This is

0:24:41.840 --> 0:24:44.439
<v Speaker 9>sort of the avenue to do it. But with the

0:24:44.480 --> 0:24:45.520
<v Speaker 9>blue how do it work?

0:24:45.600 --> 0:24:47.640
<v Speaker 5>Before they became so dominant in.

0:24:47.600 --> 0:24:49.840
<v Speaker 3>The nineteen sixties or before, like I don't.

0:24:49.640 --> 0:24:53.160
<v Speaker 2>Know, like they have PBMs always had a role here.

0:24:53.400 --> 0:24:57.160
<v Speaker 9>Well, I mean one thing is, you know, the role

0:24:57.240 --> 0:25:01.480
<v Speaker 9>that prescription drugs play in healthcare has grown own incredibly

0:25:01.680 --> 0:25:02.560
<v Speaker 9>in that period.

0:25:02.640 --> 0:25:02.760
<v Speaker 11>Right.

0:25:02.760 --> 0:25:05.600
<v Speaker 9>There are more new drugs, more expensive drugs every year.

0:25:06.160 --> 0:25:06.320
<v Speaker 4>You know.

0:25:06.359 --> 0:25:07.960
<v Speaker 9>In the nineteen sixties, I don't have it in front

0:25:08.000 --> 0:25:10.960
<v Speaker 9>of me, but the prescription to spend was you know,

0:25:11.920 --> 0:25:14.320
<v Speaker 9>much less than it is now. So part of this

0:25:14.400 --> 0:25:17.280
<v Speaker 9>is like an evolution to you know, new innovation on

0:25:17.320 --> 0:25:21.240
<v Speaker 9>the pharmacide that's very expensive here in the United States,

0:25:21.280 --> 0:25:23.840
<v Speaker 9>where you know, we have a free market for healthcare

0:25:23.880 --> 0:25:26.440
<v Speaker 9>and the drug makers can set their prices as high

0:25:26.440 --> 0:25:28.359
<v Speaker 9>as they want, and so this is sort of an

0:25:28.359 --> 0:25:32.919
<v Speaker 9>industry that's evolved in response to that. But you know,

0:25:32.960 --> 0:25:36.920
<v Speaker 9>there are there are increasing questions around, you know, how

0:25:36.960 --> 0:25:40.600
<v Speaker 9>it actually works and whether they are you know, whether

0:25:40.800 --> 0:25:44.800
<v Speaker 9>they're clients the employers are fully capturing the value of

0:25:44.960 --> 0:25:46.120
<v Speaker 9>the discounts that they get.

0:25:46.280 --> 0:25:51.320
<v Speaker 10>Okay, So FTC has weighted into this and subpoena affiliates

0:25:50.800 --> 0:25:56.560
<v Speaker 10>of PBMs called group purchasing organizations YEP. I don't usually

0:25:56.600 --> 0:26:00.320
<v Speaker 10>think of the FTC. And you know, drugs being in

0:26:00.359 --> 0:26:02.280
<v Speaker 10>the same place. I think usually more like kind of

0:26:02.280 --> 0:26:05.920
<v Speaker 10>big tech crackdowns. But what is the FTC's interest here?

0:26:06.400 --> 0:26:10.920
<v Speaker 9>So the FTC has subpoenaed the PBMs themselves and then

0:26:10.960 --> 0:26:14.800
<v Speaker 9>these affiliates, the group purchasing organizations as well, you know.

0:26:14.880 --> 0:26:18.960
<v Speaker 9>I think as a competition regulator they have and particularly

0:26:19.040 --> 0:26:22.879
<v Speaker 9>under Lena Khan, they have sort of taken a close

0:26:22.880 --> 0:26:26.080
<v Speaker 9>look at this industry. They're doing what is essentially a

0:26:26.119 --> 0:26:31.119
<v Speaker 9>study of competition. So it's not you know, it's not

0:26:31.119 --> 0:26:34.359
<v Speaker 9>an enforcement action. They're kind of gathering information and will

0:26:34.600 --> 0:26:39.800
<v Speaker 9>presumably produce a report at some point, you know. But again,

0:26:39.840 --> 0:26:42.040
<v Speaker 9>there has been a tremendous amount of consolidation in the

0:26:42.080 --> 0:26:45.679
<v Speaker 9>industry I think, you know, and these are companies that

0:26:45.760 --> 0:26:48.960
<v Speaker 9>have a lot of influence over what drugs are available. Well.

0:26:48.960 --> 0:26:51.760
<v Speaker 2>And I also feel like rebates is a loaded word.

0:26:52.000 --> 0:26:52.600
<v Speaker 5>It just says like.

0:26:52.560 --> 0:26:54.640
<v Speaker 2>I'm getting a rebate, like something's got to be good

0:26:54.640 --> 0:26:55.000
<v Speaker 2>about it.

0:26:55.080 --> 0:26:57.800
<v Speaker 3>But when I hear rebate, I think to myself, Okay,

0:26:57.840 --> 0:26:59.280
<v Speaker 3>this is, you know, a way to get you to

0:26:59.280 --> 0:27:02.040
<v Speaker 3>buy something with the hope of you not actually cashing

0:27:02.040 --> 0:27:02.800
<v Speaker 3>in this rebate.

0:27:03.080 --> 0:27:05.080
<v Speaker 9>Well, the thing about a rebate is by the time

0:27:05.119 --> 0:27:07.320
<v Speaker 9>you get it, you've already paid for it, right that

0:27:07.480 --> 0:27:10.560
<v Speaker 9>you're not. It's not an upfront discount, although there are

0:27:10.560 --> 0:27:15.120
<v Speaker 9>those two. It's you know so, And then what happens

0:27:15.119 --> 0:27:18.080
<v Speaker 9>to those dollars when they do flow back to the plan.

0:27:18.480 --> 0:27:21.160
<v Speaker 9>How much goes to the actual patient who paid maybe

0:27:21.160 --> 0:27:22.480
<v Speaker 9>the full cost of the drug if they have a

0:27:22.560 --> 0:27:23.240
<v Speaker 9>high deductible.

0:27:23.320 --> 0:27:25.399
<v Speaker 2>That's what I wanted to ask you, executives from the

0:27:25.520 --> 0:27:27.960
<v Speaker 2>three the three big PBMs, this is in your story,

0:27:28.160 --> 0:27:30.840
<v Speaker 2>so that they pass almost all the rebates they receive

0:27:30.880 --> 0:27:33.640
<v Speaker 2>from drug makers back to clients. But we don't really

0:27:33.680 --> 0:27:35.960
<v Speaker 2>know that, do we well?

0:27:35.520 --> 0:27:39.840
<v Speaker 9>Or do they They say they do, and in some programs,

0:27:39.880 --> 0:27:43.480
<v Speaker 9>like in Medicare, there are regulations around requiring them to

0:27:43.480 --> 0:27:46.240
<v Speaker 9>do that. But the other thing that we've sort of

0:27:46.440 --> 0:27:49.760
<v Speaker 9>come to learn is that even as they say they're

0:27:49.800 --> 0:27:51.840
<v Speaker 9>passing back almost all of the rebates or all the

0:27:51.840 --> 0:27:56.119
<v Speaker 9>rebates in some cases, there's other money they are getting

0:27:56.160 --> 0:28:00.200
<v Speaker 9>from drug makers that is not called a rebate. It's

0:28:00.240 --> 0:28:04.360
<v Speaker 9>called a manufacturer administrative fee, or an inflation protection fee,

0:28:04.400 --> 0:28:06.600
<v Speaker 9>or a data fee, or you know five or six

0:28:06.640 --> 0:28:08.080
<v Speaker 9>other different terms that gow.

0:28:07.880 --> 0:28:08.840
<v Speaker 5>My celfone trail?

0:28:09.000 --> 0:28:10.560
<v Speaker 2>Is this what this is like like all these crazy

0:28:10.600 --> 0:28:11.200
<v Speaker 2>little fills.

0:28:11.240 --> 0:28:13.760
<v Speaker 9>Anyway, it sounds like it well, right, and so I

0:28:13.800 --> 0:28:19.880
<v Speaker 9>mean one of the questions employers have is, you know,

0:28:20.080 --> 0:28:25.600
<v Speaker 9>how much money are these companies making from pharma companies?

0:28:26.440 --> 0:28:29.080
<v Speaker 9>And it's money that is tied to the prescriptions that

0:28:29.480 --> 0:28:31.919
<v Speaker 9>you know, you and I are filling, right, and so

0:28:32.080 --> 0:28:34.760
<v Speaker 9>where does that go? And that's sort of the big

0:28:36.359 --> 0:28:37.879
<v Speaker 9>unanswered question in all of this.

0:28:38.760 --> 0:28:39.320
<v Speaker 7>Where does it go?

0:28:39.960 --> 0:28:40.560
<v Speaker 9>Where does it go?

0:28:40.760 --> 0:28:47.040
<v Speaker 10>Yeah, there is a bipartisan interest in perhaps regulating this space.

0:28:48.360 --> 0:28:52.040
<v Speaker 10>Is this one of those areas that everyone in DC

0:28:52.520 --> 0:28:53.880
<v Speaker 10>actually gets along about.

0:28:54.880 --> 0:28:56.720
<v Speaker 9>I think there is a lot of agreement. You know,

0:28:56.760 --> 0:29:00.200
<v Speaker 9>we've seen bipartisan bills both in the House and in

0:29:00.240 --> 0:29:03.840
<v Speaker 9>the Senate from several committees. You know, one thing, just

0:29:04.120 --> 0:29:07.080
<v Speaker 9>the political context here is you know, last year in

0:29:07.120 --> 0:29:10.280
<v Speaker 9>the Inflation Reduction Act, that took kind of a big

0:29:11.760 --> 0:29:14.920
<v Speaker 9>swing at pharma because Medicare will be able to negotiate

0:29:15.000 --> 0:29:18.400
<v Speaker 9>drug prices for the first time, and PBMs are sort

0:29:18.440 --> 0:29:22.000
<v Speaker 9>of kind of next up in a way that you know,

0:29:22.240 --> 0:29:26.840
<v Speaker 9>Congress has been looking at this industry pretty closely, and

0:29:27.320 --> 0:29:29.600
<v Speaker 9>we'll see if there's action on that in this session.

0:29:29.920 --> 0:29:32.400
<v Speaker 2>A great story, Our thanks to Bloomberg News healthcare reporter

0:29:32.480 --> 0:29:35.680
<v Speaker 2>John Tazzi along with the editor of Bloomberg BusinessWeek, Jill Weber.

0:29:35.960 --> 0:29:38.360
<v Speaker 2>More on this story available on our podcast feed and

0:29:38.400 --> 0:29:41.800
<v Speaker 2>of course in the magazine out now, online, on newsstands,

0:29:41.800 --> 0:29:43.520
<v Speaker 2>and of course always on the Bloomberg terminal.

0:29:43.840 --> 0:29:46.760
<v Speaker 3>You're listening to Bloomberg Business Week. Up next, there's a

0:29:46.880 --> 0:29:49.720
<v Speaker 3>major red flag looming over what's expected to be the

0:29:49.760 --> 0:29:52.920
<v Speaker 3>biggest IPO of twenty twenty three, and it's the flag

0:29:53.080 --> 0:29:54.520
<v Speaker 3>of the People's Republic of China.

0:29:54.640 --> 0:29:57.480
<v Speaker 2>We break down the thirty five hundred word asterisk Kana

0:29:57.600 --> 0:30:00.600
<v Speaker 2>ARMS prospectus when we come back is Bloomberg.

0:30:00.960 --> 0:30:04.520
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:30:04.560 --> 0:30:07.920
<v Speaker 1>live weekday afternoons from three to six Eastern Listen on

0:30:07.960 --> 0:30:12.000
<v Speaker 1>Bloomberg dot com, the iHeartRadio app, and the Bloomberg Business app,

0:30:12.280 --> 0:30:15.800
<v Speaker 1>or watch us live on YouTube cod Sprinka.

0:30:16.120 --> 0:30:20.280
<v Speaker 2>She's writing all about Arms China challenge because in that

0:30:20.360 --> 0:30:24.160
<v Speaker 2>three hundred and thirty page IPO prospectus, the company ARM

0:30:24.440 --> 0:30:27.120
<v Speaker 2>spent more than thirty five hundred words explaining the risks

0:30:27.120 --> 0:30:28.120
<v Speaker 2>it faces in China.

0:30:28.280 --> 0:30:31.080
<v Speaker 5>It's a lot. Alex's technology reporter for Bloomberg News.

0:30:31.080 --> 0:30:33.640
<v Speaker 2>She joins us on Zoom from LA I have to say,

0:30:33.680 --> 0:30:35.800
<v Speaker 2>to be quite honest, when we went it crossed and

0:30:35.800 --> 0:30:37.560
<v Speaker 2>we were all trying to read the filing and make

0:30:37.640 --> 0:30:39.520
<v Speaker 2>sense of it, it was a little tricky and we

0:30:39.560 --> 0:30:40.800
<v Speaker 2>all knew we needed some time.

0:30:41.000 --> 0:30:42.720
<v Speaker 5>You spent the time to go through it, and what'd

0:30:42.720 --> 0:30:43.280
<v Speaker 5>you find out?

0:30:44.120 --> 0:30:46.400
<v Speaker 7>I did, and the kind of theme we saw at

0:30:46.400 --> 0:30:50.440
<v Speaker 7>all the sections and these IPO perspectuses are are hefty documents,

0:30:50.440 --> 0:30:53.120
<v Speaker 7>you said, three hundred and thirty pages. It's basically the

0:30:53.200 --> 0:30:55.800
<v Speaker 7>first look for investors to get a real deep dive

0:30:55.840 --> 0:30:59.240
<v Speaker 7>on this business since SoftBank took it private years ago

0:30:59.560 --> 0:31:03.560
<v Speaker 7>and China, China, China kept popping up from that headline

0:31:03.760 --> 0:31:06.920
<v Speaker 7>that Tom ran through a quarter of this business is

0:31:07.240 --> 0:31:11.160
<v Speaker 7>in China through its partner in that region, Armed China,

0:31:11.240 --> 0:31:13.520
<v Speaker 7>but also that there are a lot of risks around

0:31:13.520 --> 0:31:15.680
<v Speaker 7>this China region if we take a step back a

0:31:15.720 --> 0:31:18.600
<v Speaker 7>little bit. We've talked a lot about the geopolitical issues

0:31:18.600 --> 0:31:22.280
<v Speaker 7>with China, particularly with the tech sector and with semiconductors

0:31:22.280 --> 0:31:26.800
<v Speaker 7>in particular. The current presidential administration, Joe Biden and his

0:31:26.920 --> 0:31:30.000
<v Speaker 7>team have taken a really kind of adversarial stance on

0:31:30.160 --> 0:31:33.400
<v Speaker 7>making sure that the Chinese government their military doesn't get

0:31:33.480 --> 0:31:38.320
<v Speaker 7>really sophisticated semiconductor chips, well armed designs. A lot of

0:31:38.320 --> 0:31:42.120
<v Speaker 7>those chips, the chips that run servers AI technology, some

0:31:42.160 --> 0:31:44.280
<v Speaker 7>of the most sophisticated stuff out there. They have more

0:31:44.280 --> 0:31:47.640
<v Speaker 7>than two hundred and sixty customers. So for them, as

0:31:47.680 --> 0:31:49.880
<v Speaker 7>they look at this market, which is a quarter of

0:31:49.920 --> 0:31:53.960
<v Speaker 7>their business, they are now kind of dealing with these blockades,

0:31:54.000 --> 0:31:57.480
<v Speaker 7>these export controls, and a lot of those risk factors

0:31:57.520 --> 0:32:01.480
<v Speaker 7>were built into the risk section that they to at length.

0:32:01.800 --> 0:32:04.480
<v Speaker 7>The other thing I would point out, aside from these

0:32:04.560 --> 0:32:06.920
<v Speaker 7>kind of geopolitical tensions that are causing some of this

0:32:07.040 --> 0:32:09.920
<v Speaker 7>risks around the China region, they also pointed out that

0:32:10.040 --> 0:32:13.240
<v Speaker 7>China's economy is slowing. We've seen the numbers come down.

0:32:13.320 --> 0:32:15.640
<v Speaker 7>We know that the economic engine over there has slowed

0:32:15.680 --> 0:32:18.400
<v Speaker 7>a little bit. So on top of that, this really

0:32:18.400 --> 0:32:20.640
<v Speaker 7>important market that investors are going to have a lot

0:32:20.640 --> 0:32:23.240
<v Speaker 7>of questions about to get it to what some folks

0:32:23.280 --> 0:32:26.160
<v Speaker 7>are saying is a lofty valuation, China seems to be

0:32:26.240 --> 0:32:27.840
<v Speaker 7>the number one thing that jumped out at me.

0:32:28.080 --> 0:32:34.400
<v Speaker 2>So china big customer is the Chinese government. Though, is

0:32:34.440 --> 0:32:36.320
<v Speaker 2>there any investments in this.

0:32:36.320 --> 0:32:41.360
<v Speaker 7>Company absolutely, So Armed China is a different business than ARM.

0:32:41.640 --> 0:32:44.960
<v Speaker 7>ARM is the company that's listing on the US Stock Exchange,

0:32:45.640 --> 0:32:48.440
<v Speaker 7>that is the one that filed this perspective. Armed China

0:32:48.640 --> 0:32:52.600
<v Speaker 7>is basically treated as a regular customer. They do have

0:32:52.840 --> 0:32:56.280
<v Speaker 7>the same ownership. SoftBank does own a significant steak, a

0:32:56.560 --> 0:32:59.760
<v Speaker 7>forty eight percent steak in Armed China. But ARM warned

0:33:00.000 --> 0:33:03.760
<v Speaker 7>and its IPO perspectives that this partner in China, they

0:33:03.880 --> 0:33:06.960
<v Speaker 7>operate separately. They have no control over their business dealings.

0:33:07.200 --> 0:33:10.320
<v Speaker 7>I'll also say there's been some drama with this company.

0:33:10.360 --> 0:33:13.200
<v Speaker 7>This company's been pretty fraud if you're a semiconductor watcher.

0:33:13.440 --> 0:33:16.920
<v Speaker 7>They had a CEO, Alan Wu, who in twenty twenty

0:33:17.360 --> 0:33:21.560
<v Speaker 7>was fired for standing up a company that particular that

0:33:21.880 --> 0:33:25.760
<v Speaker 7>potentially conflicts with the business he was running in Armed China.

0:33:26.200 --> 0:33:30.000
<v Speaker 7>He refused to step down. The legal system in China

0:33:30.080 --> 0:33:32.960
<v Speaker 7>ruled in favor of Armed China, but that kind of

0:33:33.040 --> 0:33:35.440
<v Speaker 7>drama is still up for appeal, So there could be

0:33:35.560 --> 0:33:39.680
<v Speaker 7>governance issues at this all important partner that ARM who's

0:33:39.680 --> 0:33:42.600
<v Speaker 7>filing to go public in the US, has said they

0:33:42.600 --> 0:33:45.840
<v Speaker 7>can't do business there without Armed China. So you have

0:33:46.120 --> 0:33:49.800
<v Speaker 7>this kind of complex situation that when this company goes

0:33:49.840 --> 0:33:52.640
<v Speaker 7>on its roadshow, when its soft bank backers, or going

0:33:52.640 --> 0:33:55.160
<v Speaker 7>on its road show in September, as Bloomberg has reported,

0:33:55.720 --> 0:33:58.360
<v Speaker 7>I can almost guarantee you that investors in the room

0:33:58.640 --> 0:34:01.560
<v Speaker 7>are going to want to unpack with these details because

0:34:01.600 --> 0:34:03.360
<v Speaker 7>this is such a hapty chunk their business.

0:34:03.480 --> 0:34:06.360
<v Speaker 3>That was Alex Baranka, technology and social media reporter for

0:34:06.480 --> 0:34:07.280
<v Speaker 3>Bloomberg News.

0:34:07.400 --> 0:34:09.200
<v Speaker 2>That wraps up our first hour of the weekend edition

0:34:09.239 --> 0:34:12.080
<v Speaker 2>of Bloomberg Business Week from Bloomberg Radio. Ahead, in our

0:34:12.080 --> 0:34:15.440
<v Speaker 2>next hour, we get into the pre IPO world aka

0:34:15.600 --> 0:34:18.560
<v Speaker 2>venture capital and the latest trends with the former chairman

0:34:18.600 --> 0:34:21.839
<v Speaker 2>of Goldman Sachs Asset Management, Sheila Patel. She is now

0:34:21.960 --> 0:34:25.280
<v Speaker 2>vice chair and general partner of the VC firm B Capital.

0:34:26.120 --> 0:34:29.000
<v Speaker 3>We're talking trash and the massive environmental impact it has

0:34:29.040 --> 0:34:32.680
<v Speaker 3>on climate change with the CEO of publicly traded Republic Services.

0:34:32.760 --> 0:34:33.960
<v Speaker 5>We're really talking trash.

0:34:34.000 --> 0:34:36.879
<v Speaker 3>That was a good interview, and later we'll get into

0:34:36.920 --> 0:34:39.799
<v Speaker 3>why containing big tech means defending our civil rights and

0:34:39.880 --> 0:34:41.320
<v Speaker 3>democracy in the process.

0:34:41.360 --> 0:34:44.040
<v Speaker 2>Plus we'll actually lighten the mood for you all. Revisit

0:34:44.080 --> 0:34:47.839
<v Speaker 2>the Ultra exclusive annual event for any gear head we're

0:34:47.840 --> 0:34:49.200
<v Speaker 2>talking Monterey Carweek.

0:34:50.200 --> 0:34:53.759
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:34:53.800 --> 0:34:57.800
<v Speaker 1>live weekday afternoons from three to six Easter on Bloomberg Radio,

0:34:58.000 --> 0:35:01.280
<v Speaker 1>the Bloomberg Business App, and you you can also listen

0:35:01.400 --> 0:35:04.479
<v Speaker 1>live on Amazon Alexa from our flagship New York station,

0:35:04.840 --> 0:35:09.800
<v Speaker 1>Jo Say Alexa play Bloomberg eleven thirty Blenny Ahead.

0:35:09.600 --> 0:35:11.440
<v Speaker 2>In our second hour of the weekend edition of Bloomberg

0:35:11.480 --> 0:35:15.880
<v Speaker 2>Business Week, including talking trash while actually talking about the

0:35:15.920 --> 0:35:18.120
<v Speaker 2>trash business with the president and CEO of one of

0:35:18.160 --> 0:35:21.200
<v Speaker 2>the giants in waste management, Republic Services, and safe to say,

0:35:21.200 --> 0:35:21.560
<v Speaker 2>I think this.

0:35:21.560 --> 0:35:23.000
<v Speaker 5>Was one of our favorite interviews of the week.

0:35:23.080 --> 0:35:24.480
<v Speaker 3>Yeah, who knew talking trash was so fun?

0:35:24.560 --> 0:35:25.799
<v Speaker 5>Carol, you had a lot of fun with this.

0:35:26.239 --> 0:35:28.120
<v Speaker 3>Yeah, I'm like, I'm going to read a book about trash.

0:35:28.120 --> 0:35:30.279
<v Speaker 2>Actually, Well, I know, as we're dividing things up more

0:35:30.320 --> 0:35:31.680
<v Speaker 2>and more and more, so where does it go?

0:35:31.800 --> 0:35:32.880
<v Speaker 5>That's what we talked about.

0:35:32.960 --> 0:35:35.480
<v Speaker 3>In the meantime, AI is still all the rage, including

0:35:35.480 --> 0:35:37.680
<v Speaker 3>when it comes to VC. We catch up on the

0:35:37.760 --> 0:35:40.440
<v Speaker 3>venture capital translis Shila Ptel, Vice chairm General Partner of

0:35:40.520 --> 0:35:43.640
<v Speaker 3>b Capital, and then we'll ask a cybersecurity entrepreneur, which

0:35:43.719 --> 0:35:47.080
<v Speaker 3>megacap tech firms pose the biggest threat to our data privacy?

0:35:47.160 --> 0:35:47.759
<v Speaker 5>Dun dun, duh.

0:35:48.160 --> 0:35:50.040
<v Speaker 2>Stick around for that one plus what you may have

0:35:50.040 --> 0:35:52.160
<v Speaker 2>missed it. Monterey car Week first.

0:35:52.000 --> 0:35:54.719
<v Speaker 3>Up this hour. It's a dirty job, but somebody's got

0:35:54.760 --> 0:35:55.400
<v Speaker 3>to do it, Carol.

0:35:55.800 --> 0:35:58.080
<v Speaker 2>Average American throws out some four and a half pounds

0:35:58.080 --> 0:36:01.400
<v Speaker 2>of waste every day, which comes two hundred and sixty

0:36:01.480 --> 0:36:05.600
<v Speaker 2>eight million tons of waste nationwide each year. Thirty million

0:36:05.640 --> 0:36:10.680
<v Speaker 2>tons of this waste is food, twenty seven million tons plastic,

0:36:10.880 --> 0:36:13.960
<v Speaker 2>eighteen million tons is paper and paperboard, not all of

0:36:13.960 --> 0:36:15.640
<v Speaker 2>which gets recycled.

0:36:15.640 --> 0:36:19.080
<v Speaker 3>To him, we're talking trash, garbage, waste, call it whatever

0:36:19.080 --> 0:36:21.399
<v Speaker 3>you want. We produce a lot of it. It's got

0:36:21.400 --> 0:36:24.400
<v Speaker 3>a massive environmental impact. It contributes to climate change. It

0:36:24.440 --> 0:36:27.000
<v Speaker 3>also raises the question, Carol, what do we do with it?

0:36:27.040 --> 0:36:28.560
<v Speaker 3>And how can we be better about it?

0:36:28.640 --> 0:36:31.000
<v Speaker 2>John vander Ark his president CEO of the forty six

0:36:31.040 --> 0:36:34.280
<v Speaker 2>billion dollar market cap in publicly traded Republic Services based

0:36:34.280 --> 0:36:37.200
<v Speaker 2>in Phoenix, stock is up about fourteen percent so far

0:36:37.280 --> 0:36:40.800
<v Speaker 2>this year. Cascade Investments an investment vehicle and holding company

0:36:40.800 --> 0:36:43.040
<v Speaker 2>for Bill Gates, of course, the co founder of Microsoft

0:36:43.080 --> 0:36:45.600
<v Speaker 2>is the top shareholder in the company, with about thirty

0:36:45.600 --> 0:36:48.480
<v Speaker 2>five percent of the outstanding stock. Listen, it's great to

0:36:48.480 --> 0:36:50.560
<v Speaker 2>have you here and talk to us about the business,

0:36:50.560 --> 0:36:54.080
<v Speaker 2>the bulk of which you know, contributes to what moves

0:36:54.120 --> 0:36:54.879
<v Speaker 2>the balance sheet.

0:36:54.880 --> 0:36:56.239
<v Speaker 5>Tell us give us some perspective.

0:36:56.520 --> 0:36:58.400
<v Speaker 11>Well, we're actually an interesting we're kind of a backdoor

0:36:58.480 --> 0:37:00.720
<v Speaker 11>view of the economy because every but he has something

0:37:00.719 --> 0:37:04.320
<v Speaker 11>they need to dispose of. So we serve small you know, households,

0:37:04.320 --> 0:37:06.680
<v Speaker 11>We serve small business, we serve large business, we serve

0:37:07.080 --> 0:37:09.280
<v Speaker 11>national players, governments, so.

0:37:09.160 --> 0:37:09.880
<v Speaker 3>We really get it.

0:37:09.880 --> 0:37:12.520
<v Speaker 11>We have a very diversified book of business across our

0:37:13.080 --> 0:37:15.120
<v Speaker 11>you know, almost fifteen billion dollars of revenue, and so

0:37:15.160 --> 0:37:17.080
<v Speaker 11>that gives us a really good view of the economy.

0:37:17.120 --> 0:37:20.160
<v Speaker 11>And we're very you know, spread out, and we're resilient obviously,

0:37:20.239 --> 0:37:22.759
<v Speaker 11>because even in a down economy, everyone is still going

0:37:22.800 --> 0:37:24.000
<v Speaker 11>to have something they're going to dispose of.

0:37:24.040 --> 0:37:25.520
<v Speaker 2>So what's your view on the economy. Since you have

0:37:25.560 --> 0:37:27.000
<v Speaker 2>such a good view and vantage.

0:37:26.640 --> 0:37:29.799
<v Speaker 11>Point, we're still cautiously optimistic right the recession. We keep

0:37:29.800 --> 0:37:32.440
<v Speaker 11>reading about it and hearing about it, and it's not

0:37:32.480 --> 0:37:34.279
<v Speaker 11>really showing up in our p and l yet. Now

0:37:34.800 --> 0:37:35.600
<v Speaker 11>I would say that it.

0:37:35.719 --> 0:37:37.759
<v Speaker 2>Doesn't you say, because you're kind of resilient, but how

0:37:37.800 --> 0:37:38.319
<v Speaker 2>do you pay?

0:37:38.440 --> 0:37:41.319
<v Speaker 11>Yeah, you'd see some decline, right, you think about maybe

0:37:41.320 --> 0:37:43.480
<v Speaker 11>a three to five percent drop in demand, right if

0:37:43.520 --> 0:37:45.200
<v Speaker 11>an economy is really going to pull back and be

0:37:45.280 --> 0:37:48.600
<v Speaker 11>in recession. So construction, for examples, portion of our business

0:37:48.960 --> 0:37:51.160
<v Speaker 11>less than ten percent, but that's down about three percent

0:37:51.239 --> 0:37:54.600
<v Speaker 11>year over year. So we saw that commercial residential start

0:37:54.680 --> 0:37:57.040
<v Speaker 11>slow certainly into last year, and we kind of have

0:37:57.080 --> 0:37:59.359
<v Speaker 11>a six to nine month lag effect on that. So

0:37:59.440 --> 0:38:01.800
<v Speaker 11>that's down little bit. But you know, autos down a

0:38:01.840 --> 0:38:03.560
<v Speaker 11>little bit in the first half, but then you know,

0:38:03.600 --> 0:38:05.760
<v Speaker 11>the industrial side of the business is just booming.

0:38:06.040 --> 0:38:07.360
<v Speaker 3>When do you need to what do you need to

0:38:07.360 --> 0:38:10.239
<v Speaker 3>see in order to go from cautiously optimistic to optimistic.

0:38:10.600 --> 0:38:12.799
<v Speaker 11>Well, listen, when I see housing starts, you know, kind

0:38:12.840 --> 0:38:14.919
<v Speaker 11>of predicted to be up next year, I think that's

0:38:14.960 --> 0:38:17.240
<v Speaker 11>you know, we'll probably slow a little bit on construction

0:38:17.320 --> 0:38:19.680
<v Speaker 11>into the early part of the first half, but then

0:38:19.719 --> 0:38:21.960
<v Speaker 11>we'll pick up in the second half. And listen, I

0:38:22.000 --> 0:38:24.880
<v Speaker 11>don't I don't think all of the indices are fully

0:38:24.920 --> 0:38:27.400
<v Speaker 11>accounting for some of the government spending that's coming in

0:38:27.440 --> 0:38:30.400
<v Speaker 11>on infrastructure. Spend and we're certainly a beneficiary of that.

0:38:30.480 --> 0:38:33.000
<v Speaker 11>So we're seeing that, you know, hit our business and

0:38:33.000 --> 0:38:34.080
<v Speaker 11>again very very strong.

0:38:34.120 --> 0:38:35.880
<v Speaker 2>So when you say the industrial side of your business

0:38:35.920 --> 0:38:38.319
<v Speaker 2>is strong, give me a little bit more color on that.

0:38:38.400 --> 0:38:41.279
<v Speaker 11>Yeah, two sides of Think about a major petrochemical player, right,

0:38:41.360 --> 0:38:43.120
<v Speaker 11>you have a lot of things they need to dispose of,

0:38:43.440 --> 0:38:46.799
<v Speaker 11>certainly some recycling, but special waste, haazardous waste, a lot

0:38:46.840 --> 0:38:49.400
<v Speaker 11>of environmental services in the middle of that that we

0:38:49.440 --> 0:38:52.960
<v Speaker 11>take advantage of that. Or think about a brownfield remediation,

0:38:53.280 --> 0:38:55.919
<v Speaker 11>you know, opportunity where you know, we're in the front

0:38:55.920 --> 0:38:58.759
<v Speaker 11>of the line there, we're doing that dirt clean up

0:38:58.880 --> 0:39:01.160
<v Speaker 11>there and we're taking all all those materials and bringing

0:39:01.160 --> 0:39:01.920
<v Speaker 11>those to the right spot.

0:39:01.960 --> 0:39:03.240
<v Speaker 2>Which is the bigger part of your business?

0:39:03.320 --> 0:39:04.000
<v Speaker 5>Give us an idea.

0:39:04.040 --> 0:39:06.880
<v Speaker 2>Is it that side or is it just the regular trash?

0:39:07.000 --> 0:39:09.759
<v Speaker 11>Yeah, it's a funny, funny business. It's about if you

0:39:09.840 --> 0:39:12.680
<v Speaker 11>measure based on our customer account, which is fourteen million, yeah,

0:39:12.719 --> 0:39:14.360
<v Speaker 11>it's ninety plus percent B two C.

0:39:14.680 --> 0:39:15.480
<v Speaker 3>So you think about the.

0:39:15.400 --> 0:39:18.120
<v Speaker 11>Homeowner where we actually service. If you measure where dollars

0:39:18.200 --> 0:39:20.400
<v Speaker 11>change hands, it's more than ninety percent B to B

0:39:20.960 --> 0:39:24.400
<v Speaker 11>because in most cities. The municipality contracts with us, and

0:39:24.440 --> 0:39:26.160
<v Speaker 11>we consider that a business transaction.

0:39:26.480 --> 0:39:30.440
<v Speaker 3>Talk to me about these contracts, the most competitors that

0:39:30.480 --> 0:39:33.560
<v Speaker 3>you have in some markets, What does the competitive landscape

0:39:33.600 --> 0:39:36.319
<v Speaker 3>look like, because you know, every market is completely different.

0:39:36.320 --> 0:39:37.960
<v Speaker 3>I don't know if you've spent time in New York City,

0:39:38.040 --> 0:39:39.840
<v Speaker 3>but the trash collection.

0:39:40.960 --> 0:39:43.719
<v Speaker 2>Here is pasy, never problem. Never see it on the sidewalks.

0:39:43.920 --> 0:39:46.480
<v Speaker 3>See, it's completely wild.

0:39:46.640 --> 0:39:48.400
<v Speaker 2>How much of recycling is part of the business.

0:39:48.920 --> 0:39:50.960
<v Speaker 11>It's a growing part of the business, kind of fifteen

0:39:50.960 --> 0:39:54.400
<v Speaker 11>percent and growing. Yeah, and again we see that as

0:39:54.440 --> 0:39:56.920
<v Speaker 11>a big growth driver. That solid waste is actually shrinking

0:39:56.920 --> 0:39:58.120
<v Speaker 11>on a per capital basis.

0:39:58.239 --> 0:39:59.640
<v Speaker 3>Okay, so is that a good thing?

0:39:59.880 --> 0:40:00.640
<v Speaker 2>Is solid waste?

0:40:00.719 --> 0:40:04.279
<v Speaker 11>Mean, that's garbage's industry talk for garbage. So garbage is

0:40:04.280 --> 0:40:07.600
<v Speaker 11>shrinking on a per capita basis and recycling is growing.

0:40:07.920 --> 0:40:11.200
<v Speaker 11>And listen, that's our plan. We're trying to drive that diversion.

0:40:11.800 --> 0:40:13.959
<v Speaker 11>And you know, when I started ten years ago, people

0:40:14.040 --> 0:40:15.480
<v Speaker 11>used to say, well, we make all our money at

0:40:15.520 --> 0:40:18.680
<v Speaker 11>landfills because that was our highest margin business. And I'm

0:40:18.680 --> 0:40:21.279
<v Speaker 11>a customer person. I said, landfills don't pass the time

0:40:21.360 --> 0:40:24.440
<v Speaker 11>customers pass, and so you need to charge and understand

0:40:24.480 --> 0:40:26.960
<v Speaker 11>what the product is worth. And that's what we've done.

0:40:27.000 --> 0:40:29.760
<v Speaker 11>We've taken recycling pricing on the street to probably eighty

0:40:29.800 --> 0:40:33.480
<v Speaker 11>percent of solid waste five years ago, it's now one

0:40:33.560 --> 0:40:34.400
<v Speaker 11>hundred and twenty percent.

0:40:34.480 --> 0:40:35.120
<v Speaker 5>What does that mean?

0:40:35.400 --> 0:40:36.360
<v Speaker 11>And we've grown it faster?

0:40:36.520 --> 0:40:37.040
<v Speaker 5>What does that mean?

0:40:37.080 --> 0:40:39.160
<v Speaker 11>So, Matt, think about a small business and having two

0:40:39.239 --> 0:40:42.200
<v Speaker 11>containers that the truck comes up and picks, you know,

0:40:42.520 --> 0:40:44.879
<v Speaker 11>once a week or twice a week. Five years ago,

0:40:44.960 --> 0:40:47.960
<v Speaker 11>the price of that recycling service was eighty percent of

0:40:48.000 --> 0:40:51.000
<v Speaker 11>the price of the garbage service, and now we've flipped it,

0:40:51.000 --> 0:40:54.320
<v Speaker 11>it's one hundred and twenty percent because we've priced recycling

0:40:54.360 --> 0:40:56.520
<v Speaker 11>way faster and we've grown recycling faster.

0:40:56.880 --> 0:40:59.960
<v Speaker 2>Does it also mean people want to be recycling people?

0:41:00.080 --> 0:41:02.640
<v Speaker 11>We know we do the customer insight where people are

0:41:02.680 --> 0:41:05.680
<v Speaker 11>passionate about recycling and they want to know it goes

0:41:05.719 --> 0:41:06.520
<v Speaker 11>to the right spot?

0:41:06.640 --> 0:41:07.280
<v Speaker 3>Does it though?

0:41:08.080 --> 0:41:11.919
<v Speaker 11>In our case, absolutely right. That's part of our environmental responsibility,

0:41:11.920 --> 0:41:14.680
<v Speaker 11>which is one of our values. And I would say

0:41:15.040 --> 0:41:17.680
<v Speaker 11>most of the time, yes, there are always corner cases

0:41:17.719 --> 0:41:21.040
<v Speaker 11>where some smaller operators not doing the right thing on

0:41:21.080 --> 0:41:23.160
<v Speaker 11>the back end, but most of the time you can

0:41:23.160 --> 0:41:25.560
<v Speaker 11>have pretty good insurance that if you're putting it in

0:41:25.600 --> 0:41:27.040
<v Speaker 11>the bin, it's going to get recited.

0:41:27.120 --> 0:41:30.520
<v Speaker 3>The issue over the last few years has been there

0:41:30.560 --> 0:41:33.960
<v Speaker 3>isn't really those countries left to buy our recycling like

0:41:34.080 --> 0:41:36.560
<v Speaker 3>China used to do. China is not doing it at

0:41:36.560 --> 0:41:38.480
<v Speaker 3>the same rate that they used to. So where do

0:41:38.520 --> 0:41:39.879
<v Speaker 3>these where do these plastics go?

0:41:40.000 --> 0:41:42.040
<v Speaker 11>Yeah, when China kind of shut their doors, we went

0:41:42.040 --> 0:41:45.200
<v Speaker 11>from about thirty five percent of our material going abroad

0:41:45.640 --> 0:41:49.280
<v Speaker 11>to zero in about three months. And so what's happened

0:41:49.360 --> 0:41:53.000
<v Speaker 11>is those value chains have really gotten repositioned. So there's

0:41:53.040 --> 0:41:56.400
<v Speaker 11>a lot of domestic manufacturing that's come online, particularly for

0:41:56.480 --> 0:41:59.600
<v Speaker 11>fiber and paper. So now our supply is almost entirely

0:41:59.640 --> 0:41:59.960
<v Speaker 11>to memestic.

0:42:00.120 --> 0:42:02.920
<v Speaker 3>What about plastic plastics.

0:42:02.400 --> 0:42:06.880
<v Speaker 11>Is interesting, So most plastics today, rigid plastics get down cycled.

0:42:07.000 --> 0:42:09.040
<v Speaker 11>So think of your water bottle, Think of your detergent

0:42:09.040 --> 0:42:11.960
<v Speaker 11>bottle that goes into a pipe, park bench, or carpet.

0:42:12.320 --> 0:42:14.160
<v Speaker 11>Now that's good, it's not going to go in the landfill,

0:42:14.200 --> 0:42:16.920
<v Speaker 11>so it's going to get a second life. But after that, that's.

0:42:16.800 --> 0:42:17.760
<v Speaker 3>Going to go in the landfill.

0:42:17.880 --> 0:42:20.960
<v Speaker 11>So we're forward integrating into that. So to try to

0:42:21.000 --> 0:42:23.439
<v Speaker 11>take that water bottle and get it back into food

0:42:23.440 --> 0:42:25.759
<v Speaker 11>grete quality, and so it can go right back into

0:42:25.800 --> 0:42:28.080
<v Speaker 11>a water bottle and then we think we can turn

0:42:28.160 --> 0:42:31.200
<v Speaker 11>that at individual polymer six, seven or eight times before

0:42:31.200 --> 0:42:32.400
<v Speaker 11>eventually it gets degradatory.

0:42:32.440 --> 0:42:33.520
<v Speaker 2>Is it expensive to do that?

0:42:34.000 --> 0:42:36.720
<v Speaker 11>Yeah, we're investing about three hundred million dollars to produce

0:42:36.719 --> 0:42:38.680
<v Speaker 11>four of these centers across the US. The first one

0:42:38.719 --> 0:42:41.399
<v Speaker 11>opens up in Vegas here in a few months, and

0:42:41.520 --> 0:42:44.879
<v Speaker 11>we've contracted with Coca Cola, and listen, we could sell

0:42:44.880 --> 0:42:47.759
<v Speaker 11>out of that center five times over. We had to

0:42:47.800 --> 0:42:50.600
<v Speaker 11>limit people's buy on the back end because there's such

0:42:50.640 --> 0:42:53.680
<v Speaker 11>a short supply for this recycled plastic.

0:42:53.840 --> 0:42:56.040
<v Speaker 2>So go back to what Tim said, does it really

0:42:56.080 --> 0:42:58.920
<v Speaker 2>get recycled? Because we have all gotten really good at

0:42:58.920 --> 0:43:03.000
<v Speaker 2>dividing up our garbage in multiple ways, and the question

0:43:03.200 --> 0:43:06.040
<v Speaker 2>is does it all really get recycled? Does the paper

0:43:06.040 --> 0:43:08.880
<v Speaker 2>get recycled, does the plastic get recycled? What guarantee do

0:43:08.960 --> 0:43:10.359
<v Speaker 2>we all have that it's being done?

0:43:10.400 --> 0:43:10.840
<v Speaker 9>How do we know?

0:43:11.120 --> 0:43:14.400
<v Speaker 11>Well, listen, not everything that you put in the recycling

0:43:14.440 --> 0:43:17.319
<v Speaker 11>container is recyclable. Fair, right, So if you put the

0:43:17.360 --> 0:43:19.960
<v Speaker 11>clamshell you might get at the grocery store that might

0:43:20.000 --> 0:43:23.280
<v Speaker 11>be made with some recycled plastic, but it's not recyclable.

0:43:23.719 --> 0:43:27.080
<v Speaker 11>And so one of the things that we're pushing on

0:43:27.239 --> 0:43:30.200
<v Speaker 11>is working now back upstream to say, how do we

0:43:30.239 --> 0:43:32.759
<v Speaker 11>get more things in the original form of pet or

0:43:32.880 --> 0:43:35.759
<v Speaker 11>hdpe that's the water bottle, yeah, and the detergent bottle

0:43:35.760 --> 0:43:39.120
<v Speaker 11>of milk jug so that it can get get recycled

0:43:39.120 --> 0:43:40.040
<v Speaker 11>and keep getting recycled.

0:43:40.080 --> 0:43:41.919
<v Speaker 3>I thought there was a little triangle on that. Yeah.

0:43:42.080 --> 0:43:44.000
<v Speaker 11>If it has the triangle, yeah, that's made with post

0:43:44.040 --> 0:43:47.279
<v Speaker 11>consumer content. It doesn't mean that particular thing is recyclable.

0:43:47.520 --> 0:43:51.760
<v Speaker 11>So there's a huge opportunity for education here because consumers

0:43:51.760 --> 0:43:52.759
<v Speaker 11>care and they want to do the right thing.

0:43:52.880 --> 0:43:56.600
<v Speaker 2>I have to say, stand over my recycle I'm like this,

0:43:56.960 --> 0:43:58.840
<v Speaker 2>does this really get recycled? If I clean it, is

0:43:58.880 --> 0:43:59.480
<v Speaker 2>it gonna like go?

0:44:00.040 --> 0:44:01.920
<v Speaker 3>You spend a lot of energy doing this.

0:44:02.000 --> 0:44:02.560
<v Speaker 2>I actually do.

0:44:02.640 --> 0:44:05.759
<v Speaker 11>I do care, empty, clean, and dry. Those are the simple.

0:44:05.480 --> 0:44:10.160
<v Speaker 2>Rules, but not everything that has that thing not. Can

0:44:10.160 --> 0:44:11.200
<v Speaker 2>we work on that messaging?

0:44:11.600 --> 0:44:14.200
<v Speaker 3>Can I feel like I've been lied to for thirty years?

0:44:14.320 --> 0:44:14.440
<v Speaker 4>You know?

0:44:14.560 --> 0:44:14.759
<v Speaker 9>John?

0:44:14.800 --> 0:44:17.080
<v Speaker 2>One thing I wanted to ask you is when we

0:44:17.080 --> 0:44:19.160
<v Speaker 2>were talking about it off air, your company and waste

0:44:19.160 --> 0:44:22.799
<v Speaker 2>management top players in this industry, both with ties to

0:44:22.840 --> 0:44:25.080
<v Speaker 2>Wayne Haiseanga. How do you think about and you've been

0:44:25.080 --> 0:44:28.000
<v Speaker 2>at your company for a decade or so, how do

0:44:28.040 --> 0:44:30.080
<v Speaker 2>you think about the evolution of kind of how we

0:44:30.120 --> 0:44:32.000
<v Speaker 2>collect trash.

0:44:31.360 --> 0:44:33.720
<v Speaker 5>Where it was, where it's going the evolution.

0:44:33.800 --> 0:44:35.640
<v Speaker 11>Sure, yeah, I can just tell it from my tenure

0:44:35.680 --> 0:44:37.759
<v Speaker 11>we started. You know, when I started, we talked about

0:44:37.800 --> 0:44:39.759
<v Speaker 11>ourselves as a garbage company, and then it was a

0:44:39.800 --> 0:44:42.320
<v Speaker 11>waste company, and then it was a waste and recycling company,

0:44:42.520 --> 0:44:45.719
<v Speaker 11>and then a recycling waste company, and now I environmental

0:44:45.760 --> 0:44:49.560
<v Speaker 11>services and a sustainability company. And that's not just market

0:44:50.080 --> 0:44:52.680
<v Speaker 11>that's just not marketing speak. That's actually where we were

0:44:52.719 --> 0:44:55.880
<v Speaker 11>investing in the business. And again, I'm trying to challenge

0:44:55.920 --> 0:44:58.960
<v Speaker 11>every ton that goes into a landfill, because hey, when

0:44:58.960 --> 0:45:00.759
<v Speaker 11>I put in a landfill, it's a call to me.

0:45:01.200 --> 0:45:03.080
<v Speaker 11>But if I can recycle it and reuse it and

0:45:03.120 --> 0:45:05.480
<v Speaker 11>repurpose it, then I get a second benefit, a second

0:45:05.480 --> 0:45:08.440
<v Speaker 11>stream from that. And so and by the way, landfills

0:45:08.440 --> 0:45:11.719
<v Speaker 11>aren't being cited right that they're closing up, and so

0:45:11.840 --> 0:45:14.080
<v Speaker 11>if I can extend the life of my landfill and

0:45:14.120 --> 0:45:16.520
<v Speaker 11>I can get a second sale of that material. In

0:45:16.520 --> 0:45:18.200
<v Speaker 11>addition to collecting. That's a win win.

0:45:18.600 --> 0:45:20.920
<v Speaker 3>Many thanks to John vander Ark, President and CEO of

0:45:20.920 --> 0:45:24.400
<v Speaker 3>Republic Services for joining us in our Bloomberg Interactive Brokers Studio.

0:45:24.600 --> 0:45:27.279
<v Speaker 3>The full conversation is available on our podcast feed Up.

0:45:27.320 --> 0:45:29.920
<v Speaker 2>Next, we talk challenges and opportunities in the venture capital

0:45:29.960 --> 0:45:32.360
<v Speaker 2>space with b Capital Vice Chair Sheila Patel.

0:45:32.560 --> 0:45:35.640
<v Speaker 3>You're listening to Bloomberg BusinessWeek. This is Bloomberg.

0:45:36.080 --> 0:45:39.640
<v Speaker 1>You're listening to the Bloomberg Business Week Podcast. Catch us

0:45:39.680 --> 0:45:43.000
<v Speaker 1>live weekday afternoons from three to six Eastern Listen on

0:45:43.080 --> 0:45:47.120
<v Speaker 1>Bloomberg dot com, the iHeartRadio app, and the Bloomberg Business app,

0:45:47.400 --> 0:45:49.120
<v Speaker 1>or watch us live on YouTube.

0:45:50.120 --> 0:45:52.640
<v Speaker 2>Tim This week, we saw Nvidia deliver a third straight

0:45:52.680 --> 0:45:55.759
<v Speaker 2>sales forecast that's sur past Wall Street estimates. I mean,

0:45:55.880 --> 0:45:58.560
<v Speaker 2>as you said at the top eblowout quarter. The chip

0:45:58.560 --> 0:46:03.200
<v Speaker 2>maker's results fueled by demand for its AI processors.

0:46:02.560 --> 0:46:05.680
<v Speaker 3>In Vidia saying sales will be about sixteen billion dollars

0:46:05.680 --> 0:46:08.279
<v Speaker 3>in the three months that end in October. Analysts had

0:46:08.360 --> 0:46:11.640
<v Speaker 3>estimated just twelve point five billion. That's according to data

0:46:11.640 --> 0:46:15.000
<v Speaker 3>compiled by Bloomberg. In Vidia's results last quarter also blew

0:46:15.080 --> 0:46:18.359
<v Speaker 3>pass projections, and the company approved an additional twenty five

0:46:18.400 --> 0:46:20.880
<v Speaker 3>billion dollars in stock buybacks and Vidia.

0:46:20.680 --> 0:46:23.400
<v Speaker 2>Shares hitting a record following the quarterly update. Now, the

0:46:23.440 --> 0:46:26.360
<v Speaker 2>tech ferver hasn't quite reached every corner of the investing world.

0:46:26.560 --> 0:46:29.840
<v Speaker 2>According to data last month from research firm Pitchbook, venture

0:46:29.880 --> 0:46:33.279
<v Speaker 2>capital funding globally nearly halved in the first six months

0:46:33.280 --> 0:46:36.280
<v Speaker 2>of twenty twenty three, highlighting a lack of investor interest

0:46:36.400 --> 0:46:39.920
<v Speaker 2>in less demand and sharply higher interest rates. That's despite

0:46:40.000 --> 0:46:42.680
<v Speaker 2>huge interest in AI startups sparked by the success in

0:46:42.760 --> 0:46:44.240
<v Speaker 2>open AI's chat GBT.

0:46:44.680 --> 0:46:47.479
<v Speaker 3>The investors port more than forty billion dollars into AI

0:46:47.520 --> 0:46:49.760
<v Speaker 3>startups in the past six months. That's according to the data,

0:46:49.760 --> 0:46:52.399
<v Speaker 3>including the ten billion dollar investment by Microsoft and open

0:46:52.440 --> 0:46:55.160
<v Speaker 3>Ai and one point three billion dollars in funding for

0:46:55.280 --> 0:46:56.720
<v Speaker 3>rival Inflection AI.

0:46:57.400 --> 0:46:59.719
<v Speaker 2>All right, so let's get to it, because back with

0:46:59.800 --> 0:47:02.560
<v Speaker 2>that to talk about what's going on when it comes

0:47:02.560 --> 0:47:04.440
<v Speaker 2>to the VC world, and we're delighted to have her

0:47:04.480 --> 0:47:06.959
<v Speaker 2>back with us. Sheila Patel. She's vice chair general partner

0:47:07.000 --> 0:47:10.400
<v Speaker 2>of be Capital. She's former chairman of Goldman Saccesset Management.

0:47:10.440 --> 0:47:12.640
<v Speaker 2>She's with us on Zoom from Park City, Utah. Shella

0:47:12.920 --> 0:47:14.920
<v Speaker 2>nice to be talking with you again. Last time I

0:47:14.920 --> 0:47:20.319
<v Speaker 2>think it was at the Milkin Institute Global Conference in May.

0:47:20.480 --> 0:47:22.160
<v Speaker 2>How are you and talk to us about your world

0:47:22.200 --> 0:47:23.360
<v Speaker 2>and how things have changed.

0:47:24.280 --> 0:47:26.239
<v Speaker 12>I'm great, Thank you so much, and it's so great

0:47:26.239 --> 0:47:28.640
<v Speaker 12>to chat with you again. You know, I think the

0:47:28.680 --> 0:47:31.680
<v Speaker 12>world since Milkin has had some good news, had some

0:47:31.800 --> 0:47:35.040
<v Speaker 12>rougher news, But overall, I think it's been a fascinating

0:47:35.080 --> 0:47:40.000
<v Speaker 12>period to see how investor sentiment hasn't necessarily responded to

0:47:40.080 --> 0:47:42.080
<v Speaker 12>some of the good news we're seeing on the economy

0:47:42.480 --> 0:47:46.120
<v Speaker 12>and particularly among public companies on profits and so on.

0:47:46.160 --> 0:47:48.279
<v Speaker 12>So there's a lot out there to look to. But

0:47:48.320 --> 0:47:51.120
<v Speaker 12>as you pointed out in opening this, when it comes

0:47:51.200 --> 0:47:54.319
<v Speaker 12>to venture, there are definitely some challenges and it'll be

0:47:54.360 --> 0:47:55.520
<v Speaker 12>fun to chat about them with you.

0:47:55.680 --> 0:47:57.640
<v Speaker 3>Well, let's talk about the challenges first, and then I

0:47:57.680 --> 0:48:00.000
<v Speaker 3>want to talk about the opportunities. So it's been chopped

0:48:00.200 --> 0:48:03.640
<v Speaker 3>waters certainly, given higher interest rates and pull back on funding,

0:48:03.680 --> 0:48:07.839
<v Speaker 3>and we've seen some venture backed companies wealth cease to exist,

0:48:07.880 --> 0:48:09.600
<v Speaker 3>cease to operate. It's a different world than it was

0:48:09.640 --> 0:48:12.120
<v Speaker 3>in twenty twenty and twenty twenty one. What are the

0:48:12.200 --> 0:48:15.080
<v Speaker 3>challenges that you're seeing at the capital Well.

0:48:14.920 --> 0:48:18.680
<v Speaker 12>I think you know, along with the entire VC community,

0:48:19.000 --> 0:48:22.680
<v Speaker 12>we certainly see challenges as you mentioned, in terms of

0:48:23.000 --> 0:48:27.520
<v Speaker 12>investor interest, and I think institutional investors data a survey

0:48:27.560 --> 0:48:31.840
<v Speaker 12>of about forty four LPs show that almost three quarters

0:48:31.840 --> 0:48:34.680
<v Speaker 12>would allocate less to VC next year. Now, many of

0:48:34.680 --> 0:48:37.879
<v Speaker 12>them have been strong allocators and supporters, and I think

0:48:37.920 --> 0:48:41.680
<v Speaker 12>they'll be back, but I think there's definitely concern overvaluations,

0:48:41.719 --> 0:48:45.040
<v Speaker 12>and that's where sometimes challenging news can end up being

0:48:45.080 --> 0:48:47.600
<v Speaker 12>good news. We've been very fortunate in being able to

0:48:48.480 --> 0:48:51.719
<v Speaker 12>raise our latest fun Growth Fund three and beat our

0:48:51.760 --> 0:48:55.400
<v Speaker 12>goals with that, and you have seen several VC firms,

0:48:55.560 --> 0:49:00.000
<v Speaker 12>particularly some of the largest, have some success raising money

0:49:00.040 --> 0:49:02.800
<v Speaker 12>because of those other themes that you mentioned, the interest

0:49:02.840 --> 0:49:06.359
<v Speaker 12>in AI, the focus on areas where tech really can

0:49:06.400 --> 0:49:09.400
<v Speaker 12>be additive in up and down markets, and that in

0:49:09.440 --> 0:49:12.320
<v Speaker 12>many cases is enterprise and fintech, which are areas in

0:49:12.360 --> 0:49:16.040
<v Speaker 12>which the capital operates. So I think there's some high points,

0:49:16.320 --> 0:49:19.760
<v Speaker 12>but in particular, investors are looking to really make sure

0:49:20.120 --> 0:49:22.920
<v Speaker 12>that the people they give money too are focused on

0:49:22.960 --> 0:49:25.799
<v Speaker 12>these questions of valuations, and that's where the data has

0:49:25.920 --> 0:49:29.880
<v Speaker 12>really been stark, and is the opportunity, maybe the silver

0:49:30.000 --> 0:49:33.040
<v Speaker 12>lining to the cloud, so to speak, because valuations have

0:49:33.120 --> 0:49:35.160
<v Speaker 12>come in and it means there are great opportunities to

0:49:35.200 --> 0:49:39.640
<v Speaker 12>find good tech companies at much more reasonable and appropriate valuation.

0:49:39.800 --> 0:49:43.520
<v Speaker 2>Hey, Sheila, is AI actually helping you guys find better

0:49:43.560 --> 0:49:46.279
<v Speaker 2>opportunities right now and able to go through maybe a

0:49:46.280 --> 0:49:49.680
<v Speaker 2>lot more deals and figure out what really makes sense? Yeah.

0:49:49.680 --> 0:49:53.279
<v Speaker 12>I think applying AI to deal flow and to analysis

0:49:53.600 --> 0:49:56.760
<v Speaker 12>goes hand in hand with looking at how our companies

0:49:56.760 --> 0:50:00.359
<v Speaker 12>are using AI. And certainly I would say it's been

0:50:00.360 --> 0:50:04.800
<v Speaker 12>an amazing partnership talking about AI with our strategic partner BCG.

0:50:05.480 --> 0:50:07.399
<v Speaker 12>When you look at the work that BCG is put

0:50:07.440 --> 0:50:11.520
<v Speaker 12>in at all levels of Corporate America and global corporates

0:50:11.800 --> 0:50:14.799
<v Speaker 12>and thought about how to apply AI to solving some

0:50:14.920 --> 0:50:17.560
<v Speaker 12>of the problems they're facing. It has really helped us

0:50:18.200 --> 0:50:20.280
<v Speaker 12>take it in house and think about ways to apply

0:50:20.320 --> 0:50:23.799
<v Speaker 12>it in our own investing and our application of analyzing

0:50:23.800 --> 0:50:25.440
<v Speaker 12>potential portfolio companies.

0:50:25.719 --> 0:50:27.840
<v Speaker 2>But I guess what I'm also wondering too, has something

0:50:27.880 --> 0:50:31.040
<v Speaker 2>fundamentally It's interesting to hear what you say about, you know,

0:50:31.320 --> 0:50:32.560
<v Speaker 2>investor interest.

0:50:32.239 --> 0:50:33.080
<v Speaker 5>When it comes to VC.

0:50:33.320 --> 0:50:36.320
<v Speaker 2>Is there something fundamentally structurally going on? We talk a

0:50:36.360 --> 0:50:37.719
<v Speaker 2>lot about I know, I think we did it milk,

0:50:38.080 --> 0:50:40.160
<v Speaker 2>you know, the private credit markets and the amount of

0:50:40.160 --> 0:50:42.640
<v Speaker 2>money that's out there. I mean, is there something structurally

0:50:42.680 --> 0:50:47.200
<v Speaker 2>fundamentally going on that's changing the VC world or is

0:50:47.239 --> 0:50:48.759
<v Speaker 2>it like it was, like it's always been.

0:50:48.960 --> 0:50:53.560
<v Speaker 12>Yeah, Look, I actually I guess I'll I'll put my

0:50:53.680 --> 0:50:57.160
<v Speaker 12>longer term hat on it. To me, is the maturation

0:50:57.480 --> 0:51:00.239
<v Speaker 12>of a segment of investing, just like we've seen other

0:51:00.280 --> 0:51:03.400
<v Speaker 12>areas go through. There was a moment when index investing

0:51:03.840 --> 0:51:07.160
<v Speaker 12>was young and new, and some crazy you know, evaluation,

0:51:07.360 --> 0:51:10.640
<v Speaker 12>some crazy structures, lots of things went on, and now

0:51:10.719 --> 0:51:13.960
<v Speaker 12>it's a typical part of people's investment at portfolios. I

0:51:14.000 --> 0:51:16.200
<v Speaker 12>think when I look at venture and I compare it

0:51:16.800 --> 0:51:19.560
<v Speaker 12>to the history my twenty years at Goldman, my thirty

0:51:19.600 --> 0:51:22.879
<v Speaker 12>years in the industry, and watching various areas come into

0:51:22.880 --> 0:51:27.720
<v Speaker 12>their own, such as quant even hedge funds and private equity.

0:51:28.320 --> 0:51:30.640
<v Speaker 12>They go through a maturation process, and I think it's

0:51:30.680 --> 0:51:33.920
<v Speaker 12>a natural evolution to me, you know, I look at

0:51:34.000 --> 0:51:36.160
<v Speaker 12>venture and maybe it's because I'm one of the old

0:51:36.160 --> 0:51:36.960
<v Speaker 12>people in venture.

0:51:37.040 --> 0:51:38.439
<v Speaker 9>That's how young an.

0:51:38.400 --> 0:51:44.040
<v Speaker 12>Industry it is. It's filled with amazing technology experts, but

0:51:44.120 --> 0:51:47.000
<v Speaker 12>maybe you haven't seen as many market cycles, and at

0:51:47.000 --> 0:51:49.680
<v Speaker 12>the end of the day, BC has to perform the

0:51:49.719 --> 0:51:52.960
<v Speaker 12>same as other areas, and that maturation is part of

0:51:53.000 --> 0:51:55.799
<v Speaker 12>why you see some funds able to cope with the

0:51:55.880 --> 0:51:59.040
<v Speaker 12>changing environment, the same as you see some portfolio companies

0:51:59.040 --> 0:52:01.800
<v Speaker 12>coping better with a more difficult funding environment.

0:52:02.120 --> 0:52:04.840
<v Speaker 3>So talk to me about two opportunities in two senses

0:52:04.880 --> 0:52:07.560
<v Speaker 3>of the word. One geographically, where are you deploying money?

0:52:07.800 --> 0:52:10.080
<v Speaker 3>And then also what types of companies excite you right now?

0:52:10.600 --> 0:52:13.080
<v Speaker 12>Sure, well, maybe I'll start with the last first, because

0:52:13.080 --> 0:52:16.080
<v Speaker 12>I think it ties into that question of AI. I

0:52:16.120 --> 0:52:18.440
<v Speaker 12>think that we spend so much time and maybe this

0:52:18.600 --> 0:52:22.120
<v Speaker 12>is a trend in general on the downside of certain

0:52:22.160 --> 0:52:26.120
<v Speaker 12>technologies or of things in general, that the upsides sometimes

0:52:26.160 --> 0:52:28.879
<v Speaker 12>get missed. And when I look at AI, I look

0:52:28.920 --> 0:52:31.520
<v Speaker 12>at the way a can turbo boost drug discovery and

0:52:31.560 --> 0:52:34.000
<v Speaker 12>research in areas that will be really important in a

0:52:34.040 --> 0:52:37.680
<v Speaker 12>climate changing world, like crop protection. So a company like

0:52:37.719 --> 0:52:40.480
<v Speaker 12>atom Wise, which is one of our portfolio companies, a

0:52:40.520 --> 0:52:46.240
<v Speaker 12>small molecule expert partnering with the world's leading pharmaceuticals, biotechs

0:52:46.520 --> 0:52:50.959
<v Speaker 12>agrochemical companies to discover new ways and new treatments, whether

0:52:51.040 --> 0:52:54.759
<v Speaker 12>drug treatments or whether crop protection, etc. So I think

0:52:54.840 --> 0:52:58.640
<v Speaker 12>that's an incredible area for focus for AI is drug discovery.

0:52:58.760 --> 0:53:03.680
<v Speaker 12>Small molecule work can go beyond medications into other applications,

0:53:03.719 --> 0:53:08.160
<v Speaker 12>industrial applications. That's amazing to me. And then you know,

0:53:08.200 --> 0:53:13.120
<v Speaker 12>when I think about that broader question on opportunity, I

0:53:13.520 --> 0:53:17.120
<v Speaker 12>think that what we have to look to is the

0:53:17.239 --> 0:53:19.960
<v Speaker 12>longer term prospect for some of these companies. When you

0:53:20.000 --> 0:53:22.440
<v Speaker 12>have a lower valuation to start with, and that means

0:53:22.480 --> 0:53:24.960
<v Speaker 12>from an investor perspective, you want to be sure where

0:53:24.960 --> 0:53:28.719
<v Speaker 12>the challenging valuations, you're challenging companies on the levels they're

0:53:28.760 --> 0:53:29.480
<v Speaker 12>looking to raise.

0:53:30.080 --> 0:53:33.560
<v Speaker 3>That's Sheila Pttel, former chairman of Goldman's Accesset Management, now

0:53:33.640 --> 0:53:36.400
<v Speaker 3>vice chair and general partner of B Capital, still.

0:53:36.200 --> 0:53:38.279
<v Speaker 2>To come on Bloomberg Business Week. What we're giving up

0:53:38.320 --> 0:53:41.440
<v Speaker 2>as investors keep uping their bets on Silicon Valley's biggest

0:53:41.520 --> 0:53:42.960
<v Speaker 2>names are privacy.

0:53:43.120 --> 0:53:47.200
<v Speaker 13>We're now in a situation where, especially larger tech companies

0:53:47.239 --> 0:53:51.120
<v Speaker 13>are really just over collecting so much information about us.

0:53:51.239 --> 0:53:53.759
<v Speaker 13>And you know, in the past, you know, companies like

0:53:53.840 --> 0:53:57.719
<v Speaker 13>Standard Oil were powerful, but they didn't know everything about us,

0:53:58.200 --> 0:54:01.320
<v Speaker 13>and that's that was the really when seeing the hacks

0:54:01.320 --> 0:54:04.799
<v Speaker 13>and seeing all the status slashing around really made me say,

0:54:04.920 --> 0:54:06.839
<v Speaker 13>uh uh, something's going on here.

0:54:07.160 --> 0:54:10.400
<v Speaker 3>Entrepreneur and investor Tom Camp details his playbook for containing

0:54:10.440 --> 0:54:14.840
<v Speaker 3>big tech while also protecting our civil rights. This is Bloomberg.

0:54:16.160 --> 0:54:19.719
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:54:19.760 --> 0:54:23.880
<v Speaker 1>live weekday afternoons from three to six Easter on Bloomberg Radio,

0:54:23.960 --> 0:54:27.280
<v Speaker 1>the Bloomberg Business app, and YouTube. You can also listen

0:54:27.360 --> 0:54:30.480
<v Speaker 1>live on Amazon Alexa from our flagship New York station,

0:54:30.920 --> 0:54:33.680
<v Speaker 1>Just say Alexa play Bloomberg eleven thirty.

0:54:35.080 --> 0:54:38.600
<v Speaker 3>Well, Carol, I'm reading a book right now. Actually, Jason Kelly,

0:54:38.920 --> 0:54:41.080
<v Speaker 3>your former co anchor here on Blueberg Business So he

0:54:41.120 --> 0:54:43.320
<v Speaker 3>recommended it to me. I got it. He recommended it

0:54:43.320 --> 0:54:44.680
<v Speaker 3>to me a couple of years ago. I'm a little

0:54:44.680 --> 0:54:47.800
<v Speaker 3>behind it. I bought it that on my kindle. Recently

0:54:48.280 --> 0:54:50.719
<v Speaker 3>I'm getting around for reading it. It's called The Averet's

0:54:50.719 --> 0:54:52.560
<v Speaker 3>by Dave Aggers. It takes place in a not so

0:54:52.680 --> 0:54:56.480
<v Speaker 3>distant dystopian future where one single, huge tech company pretty

0:54:56.520 --> 0:54:59.360
<v Speaker 3>much controls everything from social media to e commerce to search.

0:54:59.440 --> 0:55:01.360
<v Speaker 5>Wait aren't we Oh no, sorry.

0:55:01.520 --> 0:55:04.920
<v Speaker 3>Well that's a good question. Here's the thing. Almost everyone

0:55:05.000 --> 0:55:08.520
<v Speaker 3>lives under constant surveillance, their cameras everywhere, people broadcast their

0:55:08.680 --> 0:55:11.600
<v Speaker 3>entire lives. Everybody's on their best behavior lest they be

0:55:11.600 --> 0:55:14.640
<v Speaker 3>caught on camera saying the wrong thing or not recycling.

0:55:14.800 --> 0:55:15.400
<v Speaker 5>Oh my what?

0:55:15.800 --> 0:55:16.040
<v Speaker 3>Yeah?

0:55:16.200 --> 0:55:18.440
<v Speaker 2>All right, So, given we're technologies today, it's actually not

0:55:18.840 --> 0:55:22.279
<v Speaker 2>that hard of a future to imagine, and perhaps our

0:55:22.320 --> 0:55:24.600
<v Speaker 2>next guest is trying to prevent the world from emerging

0:55:24.640 --> 0:55:25.560
<v Speaker 2>that specific world.

0:55:25.680 --> 0:55:27.439
<v Speaker 5>So we've got with us Tom Keapp.

0:55:27.560 --> 0:55:27.719
<v Speaker 9>Yeah.

0:55:27.719 --> 0:55:29.600
<v Speaker 3>He's the author of a new book containing big Tech

0:55:29.640 --> 0:55:32.600
<v Speaker 3>How to protect our civil rights, economy, and democracy. He's

0:55:32.640 --> 0:55:36.000
<v Speaker 3>also co founder of the cybersecurity firm Centrify. It's now

0:55:36.040 --> 0:55:38.600
<v Speaker 3>called Delinea. It was bought by Toma Bravo back in

0:55:38.600 --> 0:55:41.759
<v Speaker 3>twenty nineteen and later by TPG. He's volunteered on the

0:55:41.760 --> 0:55:44.440
<v Speaker 3>Biden Harris Tech Policy Team. He did that in twenty twenty.

0:55:44.719 --> 0:55:47.359
<v Speaker 3>He worked with advocacy groups for years on legislation around

0:55:47.400 --> 0:55:50.439
<v Speaker 3>consumer privacy and data protection. He joins us on Zoom

0:55:50.440 --> 0:55:53.480
<v Speaker 3>from Menlo Park, California. I want to know at the

0:55:53.520 --> 0:55:57.600
<v Speaker 3>specific moment that you realized that you thought that big

0:55:57.640 --> 0:55:58.800
<v Speaker 3>tech needed to be contained.

0:56:01.440 --> 0:56:07.520
<v Speaker 13>Well, my last company was Centrify, and it's cybersecurity, and

0:56:08.600 --> 0:56:12.720
<v Speaker 13>we saw all these hacks coming in and it really

0:56:12.760 --> 0:56:17.000
<v Speaker 13>became clear that when a couple couple of these companies

0:56:17.040 --> 0:56:22.279
<v Speaker 13>got breached, just the incredible amounts of data that was

0:56:22.320 --> 0:56:24.719
<v Speaker 13>being accessed by the bad guys. It really got me

0:56:24.840 --> 0:56:29.480
<v Speaker 13>to appreciate that we're now in a situation where especially little,

0:56:29.520 --> 0:56:33.040
<v Speaker 13>larger tech companies are really just over collecting so much

0:56:33.040 --> 0:56:36.239
<v Speaker 13>information about us. And you know, in the past, you know,

0:56:36.400 --> 0:56:40.000
<v Speaker 13>companies like Standard Oil were powerful, but they didn't know

0:56:40.000 --> 0:56:43.560
<v Speaker 13>everything about us, and that's that was the Really when

0:56:43.800 --> 0:56:46.760
<v Speaker 13>seeing the hacks and seeing all this data slashing around

0:56:46.840 --> 0:56:50.040
<v Speaker 13>really made me say, uh uh, something's going on here.

0:56:50.160 --> 0:56:51.520
<v Speaker 5>All right, Tom, I'm going to put it out there.

0:56:51.520 --> 0:56:52.560
<v Speaker 5>I'm going for a headline here.

0:56:52.560 --> 0:56:55.200
<v Speaker 2>But is it like climate change or maybe like climate change,

0:56:55.200 --> 0:56:57.160
<v Speaker 2>that we might just be too late, that this train

0:56:57.200 --> 0:56:58.360
<v Speaker 2>has definitely left the station.

0:57:00.000 --> 0:57:02.840
<v Speaker 13>You know, I think we actually because it's bits and

0:57:02.880 --> 0:57:07.440
<v Speaker 13>bytes versus the sky and clouds and the earth rotating

0:57:07.560 --> 0:57:09.560
<v Speaker 13>and trees and all that stuff, I think we can

0:57:09.600 --> 0:57:13.080
<v Speaker 13>actually control it. I Mean, the fundamental issue is in

0:57:13.120 --> 0:57:16.120
<v Speaker 13>the US, we don't have a federal privacy law, right,

0:57:16.200 --> 0:57:20.000
<v Speaker 13>we don't have rights over our data the right to

0:57:20.720 --> 0:57:23.520
<v Speaker 13>know what's being collected about us, the right to say

0:57:23.600 --> 0:57:26.920
<v Speaker 13>no and say please don't sell or share my data,

0:57:27.040 --> 0:57:29.160
<v Speaker 13>or the right to correct or right to delete. So

0:57:29.560 --> 0:57:33.120
<v Speaker 13>I do think that we could really make some significant

0:57:33.160 --> 0:57:37.280
<v Speaker 13>strides and be able to govern our information. And if

0:57:37.280 --> 0:57:39.600
<v Speaker 13>we don't, frankly, it is going to get worse with

0:57:39.680 --> 0:57:42.520
<v Speaker 13>AI because then all of a sudden, our data, and

0:57:42.600 --> 0:57:44.600
<v Speaker 13>a lot of it's our personal data, kind of becomes

0:57:44.640 --> 0:57:48.480
<v Speaker 13>part of this big blender of AI utilizing our data

0:57:48.520 --> 0:57:51.720
<v Speaker 13>to create other things as well. And we worry about copyrights, right,

0:57:51.760 --> 0:57:52.960
<v Speaker 13>so what about our data?

0:57:53.080 --> 0:57:54.880
<v Speaker 2>Well, what about do we follow the lead of what's

0:57:54.920 --> 0:57:58.880
<v Speaker 2>going on in Europe? And I think about the GDPR, right,

0:57:59.160 --> 0:58:02.920
<v Speaker 2>the General Data Partition Regulation that's out there that really

0:58:03.000 --> 0:58:07.040
<v Speaker 2>does push for privacy protections and security of personal data.

0:58:07.120 --> 0:58:09.600
<v Speaker 2>Is that what we need here in the United States specifically?

0:58:09.640 --> 0:58:11.400
<v Speaker 2>Is that what you're kind of pushing for.

0:58:12.360 --> 0:58:16.160
<v Speaker 13>Well, actually we've done it here in California. So I

0:58:16.160 --> 0:58:19.960
<v Speaker 13>mean you're referring to Europe's privacy law and people call

0:58:20.000 --> 0:58:23.760
<v Speaker 13>it the Brussels effect, but California we've historically had the

0:58:23.840 --> 0:58:29.480
<v Speaker 13>California Effect. It first started with auto emissions and consumer

0:58:29.560 --> 0:58:33.440
<v Speaker 13>protection around car safety, et cetera. And then California in

0:58:33.520 --> 0:58:37.840
<v Speaker 13>nineteen seventy two actually put privacy as an inalienable right

0:58:37.960 --> 0:58:42.200
<v Speaker 13>into our constitution, and from a privacy and cybersecurity perspective,

0:58:42.840 --> 0:58:45.439
<v Speaker 13>we were the first state to actually pass a data

0:58:45.440 --> 0:58:49.439
<v Speaker 13>breach notification law right and we are and have been

0:58:49.480 --> 0:58:53.120
<v Speaker 13>the first state with the most comprehensive privacy law. So

0:58:53.160 --> 0:58:56.160
<v Speaker 13>I think California actually has a better model where it's

0:58:56.200 --> 0:59:01.360
<v Speaker 13>able to balance innovation with the tech players, but also

0:59:01.560 --> 0:59:05.600
<v Speaker 13>give consumers some basic rights over their data and how

0:59:05.600 --> 0:59:06.160
<v Speaker 13>it's used.

0:59:06.560 --> 0:59:10.920
<v Speaker 3>Tom, you're also a seed investor in many startups right now.

0:59:11.280 --> 0:59:16.840
<v Speaker 3>They include companies with names like Sakoovi, Privacy Code, Trusted Twin,

0:59:17.240 --> 0:59:22.160
<v Speaker 3>Ivy Technology, share Id, Sunday Security, Surf Security, Holistic AI.

0:59:22.640 --> 0:59:27.520
<v Speaker 3>The list goes on the cynic and perhaps somebody would say, well,

0:59:27.600 --> 0:59:32.320
<v Speaker 3>wait a second, this guy's has this agenda because he's

0:59:32.360 --> 0:59:35.240
<v Speaker 3>invested in a lot of companies that want to take

0:59:35.280 --> 0:59:38.560
<v Speaker 3>on the big guys. He's invested in a lot of

0:59:38.600 --> 0:59:43.080
<v Speaker 3>companies that would benefit from company from having stricter data

0:59:43.120 --> 0:59:45.040
<v Speaker 3>protection laws here in the US. What would you say

0:59:45.080 --> 0:59:45.320
<v Speaker 3>to that.

0:59:46.560 --> 0:59:49.040
<v Speaker 13>Well, I'm back, maybe this is a bad analogy, but

0:59:49.360 --> 0:59:52.160
<v Speaker 13>al Gore. You mentioned climate change. You know, he was

0:59:52.200 --> 0:59:56.080
<v Speaker 13>talking about climate change for years and then you know

0:59:56.200 --> 0:59:59.840
<v Speaker 13>he was having difficulties trying to get things past for

1:00:00.000 --> 1:00:03.120
<v Speaker 13>from a policy perspective, but so he wanted to have

1:00:03.320 --> 1:00:06.360
<v Speaker 13>change done. So he started joining boards and he's on

1:00:06.400 --> 1:00:09.880
<v Speaker 13>the board of Apple, but he's also involved in climate funds.

1:00:10.200 --> 1:00:12.680
<v Speaker 13>So everything that I've been talking about as it relates

1:00:12.720 --> 1:00:15.160
<v Speaker 13>to privacy in the book is things that are written

1:00:15.280 --> 1:00:20.000
<v Speaker 13>years ago, well before I actually started doing any investing,

1:00:20.080 --> 1:00:23.560
<v Speaker 13>and so I'm trying to put my time and effort

1:00:23.560 --> 1:00:27.840
<v Speaker 13>into making changes. And what I'm doing with my investments

1:00:28.000 --> 1:00:32.120
<v Speaker 13>is actually trying to empower consumers to better secure them

1:00:32.440 --> 1:00:37.520
<v Speaker 13>and protect themselves. So my investments tend to be more

1:00:37.720 --> 1:00:41.760
<v Speaker 13>consumer centric and trying to help stop identity theft or

1:00:41.800 --> 1:00:45.080
<v Speaker 13>help people get better control over their privacy as well.

1:00:45.400 --> 1:00:48.640
<v Speaker 13>But I've been completely consistent. I have a blog that's

1:00:48.680 --> 1:00:51.360
<v Speaker 13>been out there for years. I've talked about these things.

1:00:51.400 --> 1:00:54.040
<v Speaker 13>I was a full time volunteer on Proposition twenty four

1:00:54.080 --> 1:00:57.560
<v Speaker 13>in California, and it wasn't only to just relatively recently

1:00:57.840 --> 1:01:00.400
<v Speaker 13>that I've been complimenting and supplementing this. But I've been

1:01:00.400 --> 1:01:05.040
<v Speaker 13>completely consistent in my advocacy of better cybersecurity, better privacy

1:01:05.160 --> 1:01:08.880
<v Speaker 13>for you, me and other people as well. And so yeah,

1:01:08.960 --> 1:01:11.560
<v Speaker 13>that's I mean, people can say that, you know, but

1:01:12.040 --> 1:01:16.440
<v Speaker 13>the record shows that I've consistently been talking about this

1:01:16.520 --> 1:01:17.720
<v Speaker 13>and proposing this for years.

1:01:17.800 --> 1:01:20.000
<v Speaker 2>Well, and on what you said, if we go along

1:01:20.040 --> 1:01:22.000
<v Speaker 2>with what you kind of said in akin to what

1:01:22.040 --> 1:01:24.720
<v Speaker 2>we saw with al Gore, he was right in terms

1:01:24.800 --> 1:01:27.000
<v Speaker 2>of the concerns about climate change. And so if we

1:01:27.040 --> 1:01:29.120
<v Speaker 2>had all paid a lot more attention, maybe we wouldn't

1:01:29.120 --> 1:01:31.160
<v Speaker 2>be kind of in the world we are today.

1:01:31.240 --> 1:01:32.920
<v Speaker 5>If you are right about.

1:01:32.640 --> 1:01:36.200
<v Speaker 2>Your concerns and we ignore them in terms of cybersecurity,

1:01:36.560 --> 1:01:40.680
<v Speaker 2>where could that what's the dark scenario, the dystopian scenario

1:01:41.280 --> 1:01:45.040
<v Speaker 2>of all of this data accumulate, accumulation on all of

1:01:45.120 --> 1:01:47.880
<v Speaker 2>us in the hands of a few big tech companies.

1:01:48.600 --> 1:01:52.440
<v Speaker 13>Well, you know, look, historically the large tech companies their

1:01:52.480 --> 1:01:57.560
<v Speaker 13>business models was advertising. And for us, we made that

1:01:57.680 --> 1:01:59.360
<v Speaker 13>trade off to say, Okay, I'm going to give you

1:01:59.360 --> 1:02:01.720
<v Speaker 13>all this data, you're gonna give me these free services.

1:02:01.840 --> 1:02:06.640
<v Speaker 13>And then what happened was that, you know, we started

1:02:06.960 --> 1:02:11.000
<v Speaker 13>shopping for a red dress or red basketball shoes, and

1:02:11.040 --> 1:02:14.120
<v Speaker 13>then all of a sudden, for the next seven weeks,

1:02:14.200 --> 1:02:16.840
<v Speaker 13>every web page had that red dress or those red

1:02:16.840 --> 1:02:20.160
<v Speaker 13>basketball shoes. It was creepy.

1:02:20.440 --> 1:02:23.320
<v Speaker 2>Try being a journalist and like researching a company that

1:02:23.320 --> 1:02:24.880
<v Speaker 2>we're gonna have on a guest that does something like

1:02:25.560 --> 1:02:27.640
<v Speaker 2>men's underwear and then we're getting it.

1:02:29.960 --> 1:02:31.280
<v Speaker 5>Sorry anyway, go ahead.

1:02:31.360 --> 1:02:35.160
<v Speaker 13>That is it's creepy. But the problem is is that

1:02:35.240 --> 1:02:39.800
<v Speaker 13>we are now in a post abortion rights America where

1:02:39.960 --> 1:02:45.520
<v Speaker 13>stuff that we did before is actually illegal in some states,

1:02:45.720 --> 1:02:48.840
<v Speaker 13>or there's data like you know, there's all these issues

1:02:48.880 --> 1:02:53.560
<v Speaker 13>about trans and so the information and that type of

1:02:53.680 --> 1:02:58.760
<v Speaker 13>data is now actually can be used against people because

1:02:58.800 --> 1:03:02.160
<v Speaker 13>before it was off to advertisers, but it could be

1:03:02.200 --> 1:03:07.480
<v Speaker 13>offered to people to harass or discriminate against people as well.

1:03:07.960 --> 1:03:11.360
<v Speaker 13>And so but even if you just step even further back,

1:03:11.440 --> 1:03:13.680
<v Speaker 13>I mean, the reality is is that this data is

1:03:13.760 --> 1:03:16.240
<v Speaker 13>being collected about us as adults. And yeah, maybe we

1:03:16.320 --> 1:03:20.240
<v Speaker 13>can navigate around some of the rabbit holes or not

1:03:20.760 --> 1:03:23.200
<v Speaker 13>disregard these ads, but what about our kids. There's no

1:03:23.280 --> 1:03:26.560
<v Speaker 13>differentiation if our kids are on the keyboard versus us

1:03:26.600 --> 1:03:30.520
<v Speaker 13>on the keyboard, and I think that's fundamentally unhealthy. So yes,

1:03:30.840 --> 1:03:35.000
<v Speaker 13>I think that the actors have figured out how to

1:03:35.040 --> 1:03:38.520
<v Speaker 13>start weaponizing this data that historically has been used for advertising.

1:03:38.760 --> 1:03:40.640
<v Speaker 3>A big thanks to Tom Camp. He's the author of

1:03:40.680 --> 1:03:43.560
<v Speaker 3>a new book containing big Tech How to Protect our

1:03:43.600 --> 1:03:47.440
<v Speaker 3>civil rights, economy, and democracy. And check out our podcast

1:03:47.440 --> 1:03:49.800
<v Speaker 3>feed for more on AI in the corporate world and

1:03:49.880 --> 1:03:53.520
<v Speaker 3>how Tom Camp says those megacap tech companies, specifically Alphabet

1:03:53.520 --> 1:03:56.920
<v Speaker 3>and Meta are collecting information that could compromise their users

1:03:57.000 --> 1:03:57.600
<v Speaker 3>down the road.

1:03:57.840 --> 1:04:00.280
<v Speaker 2>Speaking of the road, you're listening to Bloomberg Business Week

1:04:00.320 --> 1:04:03.280
<v Speaker 2>coming up spending thirty million bucks without really trying.

1:04:03.520 --> 1:04:05.680
<v Speaker 3>We go behind the wheel with our own auto guru,

1:04:05.760 --> 1:04:09.080
<v Speaker 3>Hannah Elliott at Monterey Carweek. This is Bloomberg.

1:04:09.560 --> 1:04:13.040
<v Speaker 1>If you're listening to the Bloomberg Business Week podcast, catch

1:04:13.120 --> 1:04:16.480
<v Speaker 1>us live weekday afternoons from three to six Eastern Listen

1:04:16.520 --> 1:04:20.000
<v Speaker 1>on Bloomberg dot com, the iHeartRadio app, and the Bloomberg

1:04:20.040 --> 1:04:22.840
<v Speaker 1>Business app, or watch us live on YouTube.

1:04:23.880 --> 1:04:27.080
<v Speaker 2>Speaking about money, if you happen to have a spare

1:04:27.080 --> 1:04:29.320
<v Speaker 2>at thirty million dollars lying around, there are a few

1:04:29.320 --> 1:04:30.920
<v Speaker 2>things you could do.

1:04:31.240 --> 1:04:32.360
<v Speaker 5>I could take a lot of.

1:04:32.320 --> 1:04:35.720
<v Speaker 2>Really nice vacations, a lot of really nice vacation be

1:04:35.760 --> 1:04:38.760
<v Speaker 2>a lifetime of nice vacations. You could buy some pretty

1:04:38.880 --> 1:04:42.280
<v Speaker 2>great second, third, and fourth homes. Maybe fill up the

1:04:42.280 --> 1:04:45.120
<v Speaker 2>five twenty nine for your kids. Sounds like Tim roate this, Yep,

1:04:45.160 --> 1:04:47.360
<v Speaker 2>I did, and grandkids so they won't have to worry

1:04:47.360 --> 1:04:48.760
<v Speaker 2>about paying for college. I mean, there's a lot you

1:04:48.760 --> 1:04:49.920
<v Speaker 2>could do with thirty million dollars.

1:04:50.200 --> 1:04:54.960
<v Speaker 3>Or or you could buy just one single Rolls Royce

1:04:55.040 --> 1:04:58.200
<v Speaker 3>Droptael after all, only four of them will be made.

1:04:58.240 --> 1:05:00.760
<v Speaker 3>And I use this thirty million dollar price tag. I

1:05:00.840 --> 1:05:03.440
<v Speaker 3>use that really loosely. Yeah, because we don't actually know

1:05:03.480 --> 1:05:06.360
<v Speaker 3>how much it's going to cost. But it costs, you know,

1:05:06.880 --> 1:05:09.439
<v Speaker 3>it's like twenty eight million was one a few years ago.

1:05:09.760 --> 1:05:11.920
<v Speaker 3>Thirty million, it's like how much it costs to make.

1:05:11.960 --> 1:05:13.840
<v Speaker 3>So it's going to be around that area, you know, Carol,

1:05:13.880 --> 1:05:14.960
<v Speaker 3>if you have to ask, you can't afford it.

1:05:15.040 --> 1:05:16.840
<v Speaker 5>Oh, I sound like my mother. All right, So let's

1:05:16.840 --> 1:05:17.160
<v Speaker 5>get to it.

1:05:17.160 --> 1:05:21.240
<v Speaker 2>Hannah Elliott's with US autocolumnist for Bloomberg Pursuits. She was

1:05:21.240 --> 1:05:22.360
<v Speaker 2>at the Monterey Car Week.

1:05:22.880 --> 1:05:23.400
<v Speaker 5>She was there.

1:05:23.480 --> 1:05:26.320
<v Speaker 2>She writes not just about Rolls Royce's latest in it's

1:05:26.360 --> 1:05:29.720
<v Speaker 2>coach built series, but also the electric hypercars and hydrogen

1:05:29.840 --> 1:05:32.800
<v Speaker 2>SUVs that she saw. She's on zoom in La. Let's

1:05:32.800 --> 1:05:35.160
<v Speaker 2>get to it, Hannah. First of all, this is the

1:05:35.560 --> 1:05:38.240
<v Speaker 2>car show I feel like to go to tell us

1:05:38.240 --> 1:05:38.680
<v Speaker 2>about it.

1:05:39.520 --> 1:05:40.360
<v Speaker 12>Hi, guys.

1:05:40.920 --> 1:05:44.800
<v Speaker 6>Yeah, I have to say Monterey Car Week is definitely

1:05:45.360 --> 1:05:48.200
<v Speaker 6>the new car show. When I say new, I mean

1:05:48.400 --> 1:05:51.080
<v Speaker 6>it has taken the place of like the Detroit Auto

1:05:51.120 --> 1:05:53.320
<v Speaker 6>Show or the New York Auto Show in terms of

1:05:53.360 --> 1:05:57.600
<v Speaker 6>important sport new car debuts. Like that thirty million dollar

1:05:57.680 --> 1:06:01.040
<v Speaker 6>Rolls Royce that you described. It's the place to be

1:06:01.240 --> 1:06:05.320
<v Speaker 6>both for industry and for enthusiasts and collectors. I have

1:06:05.400 --> 1:06:09.200
<v Speaker 6>to say. And yet, that droptail is incredible. I think

1:06:09.320 --> 1:06:13.320
<v Speaker 6>you know, it's well over thirty million according to my

1:06:13.440 --> 1:06:15.840
<v Speaker 6>source at Rolls Royce, who didn't want to specify, but said,

1:06:15.840 --> 1:06:19.680
<v Speaker 6>you know, it's definitely more than thirty and kind of

1:06:20.200 --> 1:06:24.640
<v Speaker 6>a car designed from scratch. Basically that's what thirty million gets. Ye,

1:06:24.720 --> 1:06:25.560
<v Speaker 6>thirty million plus.

1:06:25.600 --> 1:06:26.520
<v Speaker 5>Can you talk about it?

1:06:26.520 --> 1:06:28.640
<v Speaker 2>It is gorgeous And of course you know we're on

1:06:28.720 --> 1:06:31.360
<v Speaker 2>YouTube and Bloomberg Originals, so we'll show some pictures for

1:06:31.400 --> 1:06:33.480
<v Speaker 2>those folks, but for those on radio, I mean, just

1:06:33.480 --> 1:06:34.280
<v Speaker 2>tell us about it.

1:06:35.280 --> 1:06:35.640
<v Speaker 4>Yeah.

1:06:35.680 --> 1:06:39.720
<v Speaker 6>So this is part of Rolls Royce's Coach Built series

1:06:39.800 --> 1:06:43.080
<v Speaker 6>This is the third vehicle in this series. It started

1:06:43.080 --> 1:06:46.240
<v Speaker 6>with the Sweptail in twenty seventeen and then the boat

1:06:46.240 --> 1:06:49.600
<v Speaker 6>Tail in twenty twenty one. You might remember those. This

1:06:49.760 --> 1:06:52.440
<v Speaker 6>Droptail is the third and what Coach Built means is

1:06:52.800 --> 1:06:57.120
<v Speaker 6>Rolls Royce selects some of their most enthusiastic buyers and

1:06:57.160 --> 1:07:00.920
<v Speaker 6>collectors and says to them, basically, we will design whatever

1:07:01.000 --> 1:07:04.320
<v Speaker 6>car you want. Now they're going to They use the

1:07:04.440 --> 1:07:06.640
<v Speaker 6>same V twelve engine that is found in the Rolls

1:07:06.720 --> 1:07:10.760
<v Speaker 6>Royce Ghost, but aside from that, it's kind of whatever

1:07:10.800 --> 1:07:14.160
<v Speaker 6>the client wants. The car is mostly shown as a roadster,

1:07:14.440 --> 1:07:16.040
<v Speaker 6>but it does come with the hard top made out

1:07:16.080 --> 1:07:18.920
<v Speaker 6>of carbon fiber. So it's a lot of car.

1:07:19.160 --> 1:07:21.200
<v Speaker 3>Tell us about one more car that you saw.

1:07:22.040 --> 1:07:24.120
<v Speaker 6>Okay, this is the other end of the spectrum and

1:07:24.160 --> 1:07:25.720
<v Speaker 6>you're going to be surprised. But I want to talk

1:07:25.720 --> 1:07:29.120
<v Speaker 6>about the Ford Mustang GTP. This was kind of a

1:07:29.200 --> 1:07:32.440
<v Speaker 6>choker because Ford isn't always at Monterey, but they brought

1:07:32.920 --> 1:07:36.479
<v Speaker 6>eight hundred power V eight Mustang that costs over three

1:07:36.560 --> 1:07:39.800
<v Speaker 6>hundred thousand dollars, which is a lot for Mustang. It's

1:07:39.840 --> 1:07:42.720
<v Speaker 6>getting a lot of buzz. Of course, Mustang is you

1:07:42.760 --> 1:07:46.919
<v Speaker 6>know the original American pony car, so there's a lot

1:07:46.960 --> 1:07:49.959
<v Speaker 6>of enthusiasm behind it, and Musting is Ford has said,

1:07:50.120 --> 1:07:52.760
<v Speaker 6>we're going straight after Porsch with this car, so we'll

1:07:52.800 --> 1:07:53.880
<v Speaker 6>see if they can pull it off.

1:07:54.240 --> 1:07:56.880
<v Speaker 3>That was Bloomberg Pursuit's Auto column. This Hannah Elliott and

1:07:56.920 --> 1:07:59.440
<v Speaker 3>for the classic car lovers, do not worry. There were

1:07:59.480 --> 1:08:02.120
<v Speaker 3>some old school cars driving around in Monterey last weekend,

1:08:02.400 --> 1:08:05.480
<v Speaker 3>Hannah telling us about a nineteen sixty four Ferrari. It's

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<v Speaker 3>sold at auction for a cool thirty million bucks. So

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<v Speaker 3>Carol a little something for everyone, as long as everyone

1:08:11.760 --> 1:08:12.960
<v Speaker 3>brings big bags of money.

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<v Speaker 5>Buckets, buckets and buckets.

1:08:14.680 --> 1:08:14.880
<v Speaker 9>Hey.

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<v Speaker 2>Check out her story online to some great pictures and

1:08:17.840 --> 1:08:20.120
<v Speaker 2>the full rundown of some of the highlights that she

1:08:20.240 --> 1:08:22.600
<v Speaker 2>saw while there. That wraps up the weekend edition of

1:08:22.640 --> 1:08:25.040
<v Speaker 2>Bloomberg Business Week from Bloomberg Radio. Thank you so much

1:08:25.080 --> 1:08:25.760
<v Speaker 2>for joining us.

1:08:25.960 --> 1:08:28.439
<v Speaker 3>Be sure to tune into Bloomberg Business Week Monday through Friday.

1:08:28.439 --> 1:08:30.720
<v Speaker 3>It starts at three pm Wall Street Time on Bloomberg

1:08:30.800 --> 1:08:33.160
<v Speaker 3>Radio and on SiriusXM channel one nineteen.

1:08:33.240 --> 1:08:35.479
<v Speaker 2>You can also watch our daily broadcast on YouTube. Just

1:08:35.520 --> 1:08:39.519
<v Speaker 2>search Bloomberg Global News orsemplecast on Bloomberg Originals, available at

1:08:39.560 --> 1:08:44.320
<v Speaker 2>Bloomberg dot com, Slash Originals, and streaming platforms such as Roku, Amazon, fireTV,

1:08:44.720 --> 1:08:46.360
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1:08:46.840 --> 1:08:50.000
<v Speaker 3>Find our Bloomberg BusinessWeek podcast at Bloomberg dot com, Apple,

1:08:50.080 --> 1:08:52.680
<v Speaker 3>or wherever you get your podcasts. The latest edition of

1:08:52.680 --> 1:08:55.519
<v Speaker 3>the magazine is available on newsstands now, at Bloomberg dot

1:08:55.560 --> 1:08:58.639
<v Speaker 3>com and always on the Bloomberg terminal. I'm Tim Stenebeck.

1:08:58.760 --> 1:09:00.000
<v Speaker 5>Did you buy the thirty million dollars?

1:09:00.320 --> 1:09:01.720
<v Speaker 3>I did not, just check it.

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<v Speaker 5>I'm Carol Massler. Have a good and safe weekend. Everyone.

1:09:04.439 --> 1:09:05.040
<v Speaker 5>Stay with us.

1:09:05.040 --> 1:09:07.880
<v Speaker 2>Today's top stories and global business headlines are coming up

1:09:08.120 --> 1:09:08.519
<v Speaker 2>right now