WEBVTT - Bloomberg Businessweek Weekend: November 24th, 2023

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<v Speaker 1>This is Bloomberg Business Week 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 this holiday weekend edition of Bloomberg

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<v Speaker 2>Business Week. It was supposed to be a quiet, abbreviated

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<v Speaker 2>week for markets. What we got was anything but.

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<v Speaker 3>The investor is actually shrugged as Nvidia reported quarterly revenue

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<v Speaker 3>that tripled from a year earlier. Then the Justice Department

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<v Speaker 3>brought the hammer down on crypto Exchange Finance and its founder.

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<v Speaker 3>And then, of course, Carol, there was Open Ai.

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<v Speaker 2>As we said, anything but quiet. Well, less than five

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<v Speaker 2>days after Sam Altman's abrupt ouster from the artificial intelligence startup,

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<v Speaker 2>Altman was back at OpenAI, one of the world's most

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<v Speaker 2>valuable startups, putting an end, at least for now, to

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<v Speaker 2>the back and forth drama that transfixed Silicon Valley and

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<v Speaker 2>the global AI industry.

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<v Speaker 3>We'll be talking tech throughout our first hour of the program,

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<v Speaker 3>and we begin with someone who knows quite a bit

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<v Speaker 3>about this space and the broader implications of AI in

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<v Speaker 3>our society. Andrew McAfee is principal research scientist at MIT,

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<v Speaker 3>and he joins us with his take on the open

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<v Speaker 3>AI saga.

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<v Speaker 4>I think this is just a crystal clear case study

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<v Speaker 4>of the importance of good old fashion, boring corporate governance

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<v Speaker 4>and running a good board. This feels like a huge

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<v Speaker 4>enforced error on the part of the Open AI board,

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<v Speaker 4>and I still don't quite understand it.

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<v Speaker 3>Yeah, I think you're not the only one who doesn't

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<v Speaker 3>quite understand it. Doesn't sound like even Satinadella at Microsoft

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<v Speaker 3>Carol knows why he was fired.

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<v Speaker 5>Yeah.

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<v Speaker 2>I mean that's what's interesting. I mean, is it important

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<v Speaker 2>in your view, Andrew, that we know every detail in

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<v Speaker 2>terms of how this ends, or what is ultimately the

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<v Speaker 2>important thing that we get out of this, or how

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<v Speaker 2>it ends in your view.

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<v Speaker 4>I don't think we're ever going to know all the details,

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<v Speaker 4>but we do know that if you have an extraordinarily popular,

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<v Speaker 4>very effective CEO at growing a tech company, the board

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<v Speaker 4>might not want to fire that person with almost with

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<v Speaker 4>no notice, really without apparently engaging on a lot of

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<v Speaker 4>back and forth with him, not for any fraud or

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<v Speaker 4>misconduct or malfeasance, but because of some other kind of

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<v Speaker 4>vague problem. If the board is going to take that

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<v Speaker 4>fairly rash step, they probably want to alert their major investors,

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<v Speaker 4>their biggest business partners, their employee base, and give them

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<v Speaker 4>time to get ready. For all that, they didn't appear

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<v Speaker 4>to do any of that, And when they were frantically

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<v Speaker 4>negotiating over the weekend to try to bring him back,

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<v Speaker 4>that all fell apart, And it fell apart to the

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<v Speaker 4>extent that the huge majority of the employees of the

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<v Speaker 4>company have signaled that they will walk away. Whatever you

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<v Speaker 4>think the board's duty is, I can't see how it

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<v Speaker 4>is includes destroying that much value, hollowing out the employee

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<v Speaker 4>base of the company. And if the mission of the

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<v Speaker 4>Open AI Foundation is to advance safe agi for humanity,

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<v Speaker 4>I do not see how these actions support that mission

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<v Speaker 4>at all.

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<v Speaker 2>Hey, Business School, this is a case study of how

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<v Speaker 2>not to do things. Basically.

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<v Speaker 3>There are plenty of examples of that. By the way,

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<v Speaker 3>there is plenty.

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<v Speaker 6>They're all that right. Often usually.

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<v Speaker 2>You know, I'm wondering. You know, Tim was really smart

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<v Speaker 2>in terms of our discussions that we've been having around

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<v Speaker 2>this about what seems to be maybe at odds, and

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<v Speaker 2>that is this debate about a need for balance of

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<v Speaker 2>pushing generative AI, this technology, expanding, exploring it to reach

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<v Speaker 2>its potential, but with also having an ethical line because

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<v Speaker 2>of the potential of it to do wrong. Although I

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<v Speaker 2>would go back to you know, the Cold War and

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<v Speaker 2>missiles and the battle to have the greatest and best

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<v Speaker 2>in terms of military and how that could bring the

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<v Speaker 2>end to civilization. So trying to kind of figure out

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<v Speaker 2>what is at risk if we get this wrong?

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<v Speaker 4>Help me hear, yeah, whatever is at risk? If your

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<v Speaker 4>organization organization's mission is safe AI, and you believe apparently

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<v Speaker 4>that a for profit company is not the right way

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<v Speaker 4>to accomplish that mission, then doing things that let your

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<v Speaker 4>CEO and again almost all of the employees wind up

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<v Speaker 4>at an AI building for profit company that is not

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<v Speaker 4>accomplishing the goals of your mission. I personally am not

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<v Speaker 4>worried about the existential the alignment risk of AI. All

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<v Speaker 4>very powerful tools bring risks and harms with them, and

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<v Speaker 4>they demand vigilance, and we got to be careful about it.

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<v Speaker 4>I don't think AI is any big exception to that

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<v Speaker 4>trend or requires us to do radically different things. We

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<v Speaker 4>just have to be vigilant. Stop the bad uses.

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<v Speaker 3>That is really really surprising for me to hear from you, Andrew,

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<v Speaker 3>because I hear from you know, the worst case scenario

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<v Speaker 3>when it comes to this stuff is, okay, what if

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<v Speaker 3>AI developed some sort of super bug or biological weapon,

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<v Speaker 3>or in fact, you know in the Elon Musk school,

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<v Speaker 3>become sentient and more powerful than human beings. Why does

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<v Speaker 3>that not worry you?

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<v Speaker 4>I mean, I read a lot of science fiction as

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<v Speaker 4>a kid, too. I think terminator sci fi scenarios are

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<v Speaker 4>not great guides to policy, are not great guides to

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<v Speaker 4>I'm using this very powerful, very beneficial toolkit. I do

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<v Speaker 4>think that there is a risk that AI, for example,

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<v Speaker 4>could be used to as part of an effort to

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<v Speaker 4>engineer bad bugs or bioweapons. Great, why are we focusing

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<v Speaker 4>on a AI and not gene editing and not gene

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<v Speaker 4>sequencing technologies? And why are we letting anybody apply to

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<v Speaker 4>molecular biology and genetics doctoral programs and distributing that knowledge

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<v Speaker 4>very freely. There are, again, there are risks in the

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<v Speaker 4>modern world, let's not be naive about that. But singling

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<v Speaker 4>out AI as the lynchpin that's going to make everything

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<v Speaker 4>bad happen, I just think that's wrong. I think that's

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<v Speaker 4>a misallocation of our effort. Okay, demonizing technologies that will

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<v Speaker 4>be super beneficial to us, I think as allows the idea.

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<v Speaker 3>Well, let's move away from the superbug concern and more

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<v Speaker 3>to the concern that it will become a sentient being

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<v Speaker 3>that is more powerful and smarter than us. Why does

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<v Speaker 3>that not concern you?

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<v Speaker 4>You know, we have so many more important things to

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<v Speaker 4>worry about. We have to accomplish an energy transition in

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<v Speaker 4>the twenty first century. We have too high a disease burden.

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<v Speaker 4>There are too many people in dire poverty around the world.

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<v Speaker 4>I believe that AI might be the most powerful tool

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<v Speaker 4>that we've ever come up with to help us solve

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<v Speaker 4>these global planetary challenges facing humanity. And we're sitting around

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<v Speaker 4>worried about the terminator when there's not a shred of

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<v Speaker 4>evidence that AI has become sentient or taken control of

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<v Speaker 4>anything that we don't want it to. Bad sci fi

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<v Speaker 4>mixed bad policy.

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<v Speaker 2>And to full transparency. You're working with Google on research

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<v Speaker 2>related to the societal impacts of generative AI. I am

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<v Speaker 2>curious that what is the balance you all at Google

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<v Speaker 2>are pursuing when it comes to generative AI reaching its potential,

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<v Speaker 2>but also being smart about it and careful with it.

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<v Speaker 4>Yeah, thanks for that, because I really want to make

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<v Speaker 4>clear here I am just talking about my own personal views.

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<v Speaker 4>I am not representing Google's views on this. I actually

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<v Speaker 4>am not on top of everything that Google believes. What

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<v Speaker 4>I do know because I read the statement like the

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<v Speaker 4>rest of the public did, that Google stance is that

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<v Speaker 4>we need to be bold and responsible. I think we

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<v Speaker 4>are in danger of walking away from the bold part

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<v Speaker 4>in an overabundance of not just caution, but fear about

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<v Speaker 4>things that we just don't have any evidence for. I

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<v Speaker 4>want to say this again, this is my view, not

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<v Speaker 4>necessarily Google's view.

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<v Speaker 3>The thing that most concerns me about generitive AI is

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<v Speaker 3>misinformation and the ability for bad actors to use that

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<v Speaker 3>misinformation at scale to control outcomes like happens in social media.

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<v Speaker 3>Exactly not that different than a lot of accusations that

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<v Speaker 3>we saw fly in the wake of twenty sixteen and

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<v Speaker 3>twenty twenty elections here in the US. But if you

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<v Speaker 3>thought a bot army of people, you know in Eastern

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<v Speaker 3>Europe with social media, we're scary, then what about an

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<v Speaker 3>actual bought army of generative AI that's able to you know,

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<v Speaker 3>do this stuff at scale.

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<v Speaker 4>Andrew, Now that's a harm that we should be worrying about,

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<v Speaker 4>because these are actual challenges, and like you say, bad

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<v Speaker 4>actors are going to weaponize generative AI to do all

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<v Speaker 4>kinds of harm or try to do all kinds of harm.

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<v Speaker 4>This is a real risk. It's a real harm. I

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<v Speaker 4>have faith in our ability to deal with the harms

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<v Speaker 4>that technology brings us. I think we can find ways

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<v Speaker 4>to have trusted sources that will verify whether a thing

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<v Speaker 4>is a deep fake or not. All of us have

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<v Speaker 4>the new sources that we run to when we see

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<v Speaker 4>something that might be true or might not be true.

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<v Speaker 4>We can strengthen those kinds of institutions and those kinds

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<v Speaker 4>of responses. We can also educate people to be more

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<v Speaker 4>discerning consumers of the news.

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<v Speaker 2>You know you talk about You know, you have faith

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<v Speaker 2>to deal with the harms of this technology maybe will

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<v Speaker 2>ultimately bring us, should there there be some guardrails in place,

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<v Speaker 2>you know, Amy once you know you know, shame or

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<v Speaker 2>full me one. Shame on you for me twice, Shame

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<v Speaker 2>on you know you.

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<v Speaker 5>Know what I mean? You know what I mean.

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<v Speaker 6>George W.

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<v Speaker 3>Bush Sutching.

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<v Speaker 2>But I guess my point is, whether it's social media,

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<v Speaker 2>whether it's crypto, there's a lot of things out there

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<v Speaker 2>that it's like, Oh, I guess we should have been

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<v Speaker 2>doing this. Is there something we should have in place

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<v Speaker 2>at this point when it comes to generative AI.

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<v Speaker 4>I think what we should have in place is a

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<v Speaker 4>very agile system for becoming aware of the harms and

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<v Speaker 4>dealing with the harms as they crop up. For example,

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<v Speaker 4>after smartphones were out for a while, we learned that

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<v Speaker 4>a bunch of losers were using them to take pictures

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<v Speaker 4>of the skirts of women, you know, as they commuted

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<v Speaker 4>to work on the subway. We didn't not love a smartphone.

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<v Speaker 4>We didn't make smartphone makers apply for a license to

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<v Speaker 4>use a camera. We didn't make all of us apply

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<v Speaker 4>for a license to have a camera equipped smartphone around

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<v Speaker 4>the states. Anyway, lots of legislatures acted really quickly to

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<v Speaker 4>make that particular use of the phone illegal. The beast

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<v Speaker 4>response to the harms that come up is my preferred

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<v Speaker 4>approach for dealing with these. I don't trust me or

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<v Speaker 4>you or anybody else to sit around right here and

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<v Speaker 4>correctly anticipate all of the things that will happen, and

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<v Speaker 4>all of the effective ways to head that off. I

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<v Speaker 4>just don't our.

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<v Speaker 3>Thanks to Andrew McAfee, principal research scientist at MIT. Check

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<v Speaker 3>out his new book, It's called The Geek Way, The

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<v Speaker 3>Radical Mindset that drives Extraordinary results. And stick with Bloomberg

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<v Speaker 3>News for any future twists and turns from Open AI

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<v Speaker 3>and the global AI race, Carol, I know that there

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<v Speaker 3>will be more.

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<v Speaker 2>That's one thing we can kind of say for certainty.

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<v Speaker 2>All right, coming up, everybody, We're going to shift our

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<v Speaker 2>focus from corporate governance to governmental regulation when it comes

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<v Speaker 2>to cutting edge technology. It's an area in which the

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<v Speaker 2>European Union has led the way.

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<v Speaker 3>Former EU official and current head of France's independent public

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<v Speaker 3>auditing body, Pierre Moscovici joins us. Next, you're listening to

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<v Speaker 3>Bloomberg BusinessWeek. This is Bloomberg.

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<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

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<v Speaker 1>live weekday afternoons from three to six Eastern Listen on

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<v Speaker 2>Earlier this month, France, Germany, and Italy reached an agreement

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<v Speaker 2>on how artificial intelligence should be regulated. That's according to

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<v Speaker 2>a joint paper seen by Reuters, which reports that negotiations

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<v Speaker 2>are set to ramp up within the European Commission, the

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<v Speaker 2>European Parliament and the EU Council.

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<v Speaker 3>The three governments support the concept of quote mandatory self

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<v Speaker 3>regulation through codes of conduct for so called foundation models

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<v Speaker 3>of AI. The paper goes on to say that the

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<v Speaker 3>countries see risks in the applications of AI rather than

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<v Speaker 3>in the technology itself.

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<v Speaker 2>Europe has been at the forefront of big tech oversight

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<v Speaker 2>with policies such as the General Data Protection Regulation, which

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<v Speaker 2>aims to protect data and information privacy for citizens of

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<v Speaker 2>the block.

0:11:53.840 --> 0:11:56.000
<v Speaker 3>Our next guest was a member of the European Commission

0:11:56.000 --> 0:11:59.920
<v Speaker 3>when GDPR was implemented. Pierre Moscovic now serves as first

0:12:00.040 --> 0:12:03.120
<v Speaker 3>President of France's Court of Accounts. It's the country's supreme

0:12:03.160 --> 0:12:05.880
<v Speaker 3>body for auditing the use of public funds in France.

0:12:06.280 --> 0:12:08.760
<v Speaker 3>He joined Carol and Me and Studio to discuss their

0:12:08.840 --> 0:12:11.680
<v Speaker 3>regulatory questions that AI now poses.

0:12:12.160 --> 0:12:16.280
<v Speaker 2>The whole world is enamored with artificial intelligence. All business.

0:12:16.280 --> 0:12:20.440
<v Speaker 2>Global business feels like they are enamored about it, racing

0:12:20.520 --> 0:12:23.160
<v Speaker 2>toward it. What are your thoughts when you think about

0:12:23.240 --> 0:12:29.120
<v Speaker 2>artificial intelligence, the importance when it comes to a country's economy, businesses, economies.

0:12:30.480 --> 0:12:33.440
<v Speaker 7>Well, that's of course becoming huge and is going to

0:12:33.480 --> 0:12:37.040
<v Speaker 7>be fantastic and gigantic in the future. Everybody knows that,

0:12:37.080 --> 0:12:42.040
<v Speaker 7>and we all need to first invest on AI, use AI,

0:12:42.440 --> 0:12:47.800
<v Speaker 7>and control AI. I chair an institution which troll is

0:12:47.840 --> 0:12:51.559
<v Speaker 7>to control public finances. We are working on the strategy

0:12:51.840 --> 0:12:54.679
<v Speaker 7>of the government for AI, and we are users of AI.

0:12:54.760 --> 0:12:58.319
<v Speaker 7>But I think that illustrates the conflict we are facing

0:12:58.400 --> 0:13:02.040
<v Speaker 7>and we will be facing between the necessary to develop AI,

0:13:02.320 --> 0:13:05.240
<v Speaker 7>to invest on the I, but also to regulate AI

0:13:05.600 --> 0:13:10.640
<v Speaker 7>because there are matters there of ethics about how we

0:13:10.640 --> 0:13:14.280
<v Speaker 7>can control the evolution of AI, the way it will

0:13:14.360 --> 0:13:19.320
<v Speaker 7>change our lives, our freedoms also, and so that's a

0:13:19.440 --> 0:13:23.000
<v Speaker 7>major issue on which we must work I would say intensively,

0:13:23.080 --> 0:13:24.160
<v Speaker 7>but without fantasies.

0:13:24.760 --> 0:13:26.880
<v Speaker 3>So tell us about what concerns you like, what the

0:13:26.880 --> 0:13:29.640
<v Speaker 3>guardrails in your opinion you think need to be in

0:13:29.720 --> 0:13:32.520
<v Speaker 3>place when it comes to ethical use of AI and

0:13:32.559 --> 0:13:34.320
<v Speaker 3>making sure that AI doesn't get out of control.

0:13:34.760 --> 0:13:37.760
<v Speaker 7>Well, again, I'm not especially still that, but I was

0:13:37.800 --> 0:13:40.200
<v Speaker 7>a U commissioner for five years and before a finance

0:13:40.240 --> 0:13:44.080
<v Speaker 7>minister that means Secretary of Treasury in my country. And

0:13:44.800 --> 0:13:50.280
<v Speaker 7>I see that going on and raising rapidly, and we

0:13:50.320 --> 0:13:53.200
<v Speaker 7>need absolutely to have rules about that. You know, the

0:13:53.280 --> 0:13:57.120
<v Speaker 7>EU is a rules based system. The US is also

0:13:57.200 --> 0:13:59.839
<v Speaker 7>a rules based country, and we need to have fun

0:14:00.240 --> 0:14:02.720
<v Speaker 7>rule of law, absolutely, and we need to establish a

0:14:02.800 --> 0:14:08.319
<v Speaker 7>law so that the ethics limits are fixed and they

0:14:08.320 --> 0:14:12.360
<v Speaker 7>are respected. And again without fantasis, let's not imagine that

0:14:12.520 --> 0:14:16.080
<v Speaker 7>it's a big brother. That's not it. But we know

0:14:16.200 --> 0:14:21.840
<v Speaker 7>that some uses of AI can be dangerous or threatening

0:14:22.000 --> 0:14:26.040
<v Speaker 7>for our freedoms, for our lives too, and this needs

0:14:26.080 --> 0:14:29.360
<v Speaker 7>to be addressed. As I said, we're a rule based system,

0:14:30.320 --> 0:14:32.880
<v Speaker 7>and we are also involved in the global world, global

0:14:32.880 --> 0:14:37.280
<v Speaker 7>economy and global institutions such as G twenty seven, IMF, etc.

0:14:39.520 --> 0:14:42.840
<v Speaker 7>The good place where regulations should intervene is at the

0:14:42.840 --> 0:14:47.160
<v Speaker 7>European level, where United in Europe. And I don't think

0:14:47.160 --> 0:14:50.800
<v Speaker 7>that national regulations are the proper answer you could have.

0:14:51.560 --> 0:14:56.440
<v Speaker 7>I would say a EU regulation plus national applications of

0:14:56.600 --> 0:15:00.320
<v Speaker 7>the regulations, and this is something that we should also

0:15:00.720 --> 0:15:02.040
<v Speaker 7>proposed to the rest of the world.

0:15:02.200 --> 0:15:05.400
<v Speaker 2>Well, that's what I'm going to say. Global cooperation here

0:15:05.400 --> 0:15:06.000
<v Speaker 2>in US.

0:15:07.480 --> 0:15:09.400
<v Speaker 7>Because I'm a member of the Board of Editors of

0:15:09.400 --> 0:15:13.720
<v Speaker 7>the United Nations. I was with the Secretary Journal Antono Guteres,

0:15:14.160 --> 0:15:17.440
<v Speaker 7>and he established a high level working group on AI

0:15:17.960 --> 0:15:20.960
<v Speaker 7>with precisely that purpose to have a global answer to that.

0:15:21.080 --> 0:15:22.880
<v Speaker 2>Are there real fears though, like is it not a

0:15:23.000 --> 0:15:26.400
<v Speaker 2>kin pre if? I may ask akin to the concern

0:15:26.480 --> 0:15:29.920
<v Speaker 2>about just the data collection that has been done by

0:15:30.000 --> 0:15:32.520
<v Speaker 2>so many of the global social media companies, whether it's

0:15:32.520 --> 0:15:35.800
<v Speaker 2>a Google, whether it's a meta privacy concerns. Safe to

0:15:35.800 --> 0:15:38.360
<v Speaker 2>say Europe has really led the way on this in

0:15:38.440 --> 0:15:41.840
<v Speaker 2>terms of oversight. But is this a much bigger threat

0:15:42.040 --> 0:15:44.560
<v Speaker 2>artificial or generative artificial intelligence?

0:15:45.040 --> 0:15:48.680
<v Speaker 7>Probably because it's the next step in technology, but it

0:15:48.760 --> 0:15:51.400
<v Speaker 7>might be as well. New companies and also these ones

0:15:51.920 --> 0:15:56.240
<v Speaker 7>we must watch that. You know, we we again were

0:15:56.280 --> 0:16:01.080
<v Speaker 7>pioneers in regulating that in Europe in order to protect

0:16:01.120 --> 0:16:03.840
<v Speaker 7>personal freedoms. I was a member of the Commission when

0:16:03.880 --> 0:16:08.160
<v Speaker 7>we launched that, and I think that it's I wouldn't

0:16:08.160 --> 0:16:10.280
<v Speaker 7>say an example, but something that the rest of the

0:16:10.320 --> 0:16:14.120
<v Speaker 7>world can look after. And that's why we must think

0:16:14.120 --> 0:16:17.040
<v Speaker 7>about the future of AI with I would say the

0:16:17.080 --> 0:16:17.880
<v Speaker 7>same optic.

0:16:18.480 --> 0:16:23.000
<v Speaker 3>I wonder if there is this concern among entrepreneurs that

0:16:23.520 --> 0:16:27.880
<v Speaker 3>the regulations could prevent companies from growing to their full

0:16:27.880 --> 0:16:30.800
<v Speaker 3>extent in France or the EU versus other countries that

0:16:30.800 --> 0:16:32.200
<v Speaker 3>don't have the same regulations and players.

0:16:32.280 --> 0:16:34.760
<v Speaker 7>Yeah, that's always the debate that we have. But I

0:16:34.800 --> 0:16:37.840
<v Speaker 7>think that we can strike a right balance between competitiveness,

0:16:37.840 --> 0:16:41.680
<v Speaker 7>which is absolutely decisive having growing businesses and AI is

0:16:41.680 --> 0:16:46.560
<v Speaker 7>a fantastic source of revenues and as well job creation

0:16:46.680 --> 0:16:50.480
<v Speaker 7>of ruanan, but also job destruction under changing.

0:16:50.200 --> 0:16:52.440
<v Speaker 2>Of jobs many innovative technology.

0:16:52.680 --> 0:16:56.000
<v Speaker 7>But this is something that is growing rapidly and we

0:16:56.040 --> 0:16:58.520
<v Speaker 7>can see that it will I wouldn't say destroy, but

0:16:58.680 --> 0:17:02.800
<v Speaker 7>change the course. Again an example, I was in the

0:17:02.920 --> 0:17:07.520
<v Speaker 7>un There are translators there the future. They need to

0:17:07.600 --> 0:17:10.400
<v Speaker 7>keep their jobs, but probably it will move with AI,

0:17:10.440 --> 0:17:13.680
<v Speaker 7>it will transform. So the proper world probably is job

0:17:13.800 --> 0:17:17.480
<v Speaker 7>transformation with the I. But again we must trike the

0:17:17.560 --> 0:17:20.960
<v Speaker 7>right balance between competitiveness and the protection of our freedoms,

0:17:21.320 --> 0:17:24.399
<v Speaker 7>because if we don't take care of that, well, we

0:17:24.440 --> 0:17:27.520
<v Speaker 7>could be in a mess a few times. And as

0:17:27.600 --> 0:17:33.400
<v Speaker 7>this technology is fantastically growing and rapidly, well it could

0:17:33.440 --> 0:17:36.480
<v Speaker 7>be faster than one may think. That's why I think

0:17:36.520 --> 0:17:39.120
<v Speaker 7>regulation must be addressed as well. At the global level.

0:17:39.400 --> 0:17:43.640
<v Speaker 7>This is UN or OCD or that kind of institutions.

0:17:43.760 --> 0:17:48.879
<v Speaker 7>At the continental level, the global players in the world,

0:17:49.800 --> 0:17:53.639
<v Speaker 7>the US, Europe, don't they're talking about China, India, et cetera,

0:17:54.119 --> 0:17:59.520
<v Speaker 7>must certainly have their own protection. And then we must

0:17:59.560 --> 0:18:04.560
<v Speaker 7>also declined that at the national level we talked about trance.

0:18:05.000 --> 0:18:06.200
<v Speaker 7>This is something also that we.

0:18:06.200 --> 0:18:08.960
<v Speaker 2>Can address, but not happening yet, not yet.

0:18:08.800 --> 0:18:12.520
<v Speaker 7>But I can see and maybe what happened to mister

0:18:12.560 --> 0:18:17.879
<v Speaker 7>Outmann is an example of that that this research of

0:18:17.920 --> 0:18:25.679
<v Speaker 7>the balance between competitiveness, profitability, raising business and ethics is

0:18:25.680 --> 0:18:30.800
<v Speaker 7>a matter that is important as well for public regulators,

0:18:30.840 --> 0:18:34.120
<v Speaker 7>for governments, but also in companies in business.

0:18:34.280 --> 0:18:36.960
<v Speaker 2>No, well said, right, because we've seen, we've seen what

0:18:37.119 --> 0:18:41.480
<v Speaker 2>happens when really the business side kind of just runs.

0:18:41.560 --> 0:18:44.080
<v Speaker 2>That's kind of the one mission. And I think about

0:18:44.119 --> 0:18:47.760
<v Speaker 2>the data privacy issues which have come so much later, right,

0:18:47.840 --> 0:18:50.880
<v Speaker 2>the oversight as these companies were building out, But maybe

0:18:50.920 --> 0:18:51.880
<v Speaker 2>we just didn't realize.

0:18:51.880 --> 0:18:55.360
<v Speaker 7>But that's something that again Europe was in the lead

0:18:55.520 --> 0:19:00.679
<v Speaker 7>absolutely to develop. But you know this tech giants they

0:19:00.760 --> 0:19:03.720
<v Speaker 7>must also, I mean, of course they must develop, but

0:19:03.840 --> 0:19:08.080
<v Speaker 7>also behave I would say good citizens one another on

0:19:08.119 --> 0:19:11.120
<v Speaker 7>which I concentrated or dedicated a lot of efforts when

0:19:11.119 --> 0:19:15.320
<v Speaker 7>as the EU commissioned, was taxation, global taxation, And you know,

0:19:15.359 --> 0:19:18.840
<v Speaker 7>there is an agreement at the OECD level signed by

0:19:18.880 --> 0:19:24.920
<v Speaker 7>some one hundred and thirty countries which plans to tax properly,

0:19:25.119 --> 0:19:29.560
<v Speaker 7>properly the digital sector, and it's not yet implemented, and

0:19:29.560 --> 0:19:32.240
<v Speaker 7>we must do that, and probably with AI, it's a

0:19:32.359 --> 0:19:34.960
<v Speaker 7>kind of parallel altitude that we must think about.

0:19:35.320 --> 0:19:38.920
<v Speaker 3>That was Pierre Mascovec, first President of Francis Court of Accounts.

0:19:39.080 --> 0:19:40.919
<v Speaker 3>Head on over to our podcast feed for more of

0:19:40.920 --> 0:19:43.760
<v Speaker 3>our conversation with per and for his unique take on

0:19:43.800 --> 0:19:46.160
<v Speaker 3>the health of the EU's second largest economy.

0:19:46.320 --> 0:19:48.639
<v Speaker 2>Still ahead on Bloomberg Business Week, as we continue to

0:19:48.680 --> 0:19:52.080
<v Speaker 2>moll over ethical concerns around AI, let's not forget the

0:19:52.160 --> 0:19:56.080
<v Speaker 2>clear and present danger posed to businesses by cybersecurity, in

0:19:56.119 --> 0:19:59.680
<v Speaker 2>part due to the rapid advancements in artificial intelligence.

0:20:00.040 --> 0:20:03.480
<v Speaker 3>Wendy Thomas, the CEO of publicly traded Secure Works, stops

0:20:03.480 --> 0:20:06.159
<v Speaker 3>by on the other side. This is Bloomberg.

0:20:07.200 --> 0:20:10.760
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:20:10.800 --> 0:20:14.920
<v Speaker 1>live weekday afternoons from three to six Easter on Bloomberg Radio,

0:20:15.000 --> 0:20:18.320
<v Speaker 1>the Bloomberg Business App, and YouTube. You can also listen

0:20:18.400 --> 0:20:21.520
<v Speaker 1>live on Amazon Alexa from our flagship New York station

0:20:21.960 --> 0:20:24.720
<v Speaker 1>Just say Alexa Play Bloomberg eleven thirty.

0:20:26.520 --> 0:20:29.160
<v Speaker 2>We spoke earlier about the Open Ay drama as well

0:20:29.160 --> 0:20:32.600
<v Speaker 2>as how global governments are approaching artificial intelligence from a

0:20:32.720 --> 0:20:37.320
<v Speaker 2>regulatory perspective. Well, another factor to examine is AI's role

0:20:37.400 --> 0:20:41.640
<v Speaker 2>in cybersecurity. Consider this prediction from tech consulting firm Gartner.

0:20:42.040 --> 0:20:45.640
<v Speaker 2>By twenty twenty five, lack of talent or human failure

0:20:45.720 --> 0:20:50.280
<v Speaker 2>will be responsible for over half of significant cyber incidents. Well,

0:20:50.359 --> 0:20:52.399
<v Speaker 2>we've got a great voice on this issue.

0:20:52.480 --> 0:20:54.600
<v Speaker 3>Our next guest participated with you, Carol in the recent

0:20:54.640 --> 0:20:57.840
<v Speaker 3>nine to eleven Memorial and Museum Summit on Security. A

0:20:57.880 --> 0:21:01.080
<v Speaker 3>conversation with you on cyber threats and understanding the impact

0:21:01.119 --> 0:21:02.600
<v Speaker 3>that they can have on organizations.

0:21:02.640 --> 0:21:04.240
<v Speaker 2>And we do want to point out the museum supported

0:21:04.240 --> 0:21:06.360
<v Speaker 2>by Michael our Bloomberg of course, founder of Bloomberg Outp

0:21:06.440 --> 0:21:09.480
<v Speaker 2>and Bloomberg Philanthropy. Is great to be talking once again

0:21:09.520 --> 0:21:11.960
<v Speaker 2>with Wendy Thomas. She's CEO at Secure Work, She's on

0:21:12.080 --> 0:21:15.320
<v Speaker 2>zoom Set the landscape. It's become kind of part of

0:21:15.359 --> 0:21:18.080
<v Speaker 2>the norm of our world. But talk to us about

0:21:18.280 --> 0:21:21.080
<v Speaker 2>cyber threats, the kind of trends we are seeing, where

0:21:21.119 --> 0:21:23.680
<v Speaker 2>they're coming from, the typical kinds of incidents, if you will,

0:21:23.680 --> 0:21:24.640
<v Speaker 2>and welcome back by the way.

0:21:25.760 --> 0:21:27.960
<v Speaker 8>Look, I mean, the average cost of a breach for

0:21:28.119 --> 0:21:29.960
<v Speaker 8>a business in the US here to date this year

0:21:30.000 --> 0:21:33.879
<v Speaker 8>is nearly ten million dollars apiece, and the global cost

0:21:33.920 --> 0:21:36.800
<v Speaker 8>of cybercrime's expected to be three x what it was

0:21:36.920 --> 0:21:39.760
<v Speaker 8>just a decade ago. We're talking about a transfer of

0:21:39.800 --> 0:21:42.080
<v Speaker 8>wealth in the wrong direction that's probably the greatest in

0:21:42.080 --> 0:21:44.960
<v Speaker 8>our history. So when we look across the landscape, to

0:21:44.960 --> 0:21:48.440
<v Speaker 8>your point, it is happening every single day. We're tracking

0:21:48.440 --> 0:21:51.359
<v Speaker 8>about one hundred and thirty five active threat groups, and

0:21:51.440 --> 0:21:56.399
<v Speaker 8>their activities are bucketed primarily into traditional cybercrime right just

0:21:56.440 --> 0:22:00.600
<v Speaker 8>looking to extract profits, Nation state activity, which is clearly

0:22:00.960 --> 0:22:05.240
<v Speaker 8>up in the wake of geopolitical events, and then activists

0:22:05.440 --> 0:22:09.320
<v Speaker 8>who are concerned about those events and making their voice

0:22:09.359 --> 0:22:13.240
<v Speaker 8>heard through a variety of cyber attacks. So we see

0:22:13.480 --> 0:22:17.320
<v Speaker 8>those activities continuing, and as those three sets of actors

0:22:17.359 --> 0:22:22.399
<v Speaker 8>continue to leverage tried and true techniques scanning for software

0:22:22.480 --> 0:22:26.359
<v Speaker 8>vulnerabilities and exploiting those, stealing credentials to log in and

0:22:26.920 --> 0:22:31.080
<v Speaker 8>parade as someone else, and then sending those fishing emails

0:22:31.080 --> 0:22:34.919
<v Speaker 8>which we've all received around certain topics. You click on

0:22:35.000 --> 0:22:37.800
<v Speaker 8>those and then you've given them access to the castle.

0:22:38.240 --> 0:22:41.680
<v Speaker 8>So we just see the same actors using the same

0:22:41.720 --> 0:22:45.280
<v Speaker 8>attack vectors and continuing to be successful.

0:22:45.480 --> 0:22:51.159
<v Speaker 3>Wendy, is there some sort of geographical profile of these

0:22:51.600 --> 0:22:54.159
<v Speaker 3>different state and non state actors, I mean, is there

0:22:54.160 --> 0:22:55.560
<v Speaker 3>a part of the world that they tend to come

0:22:55.560 --> 0:22:56.840
<v Speaker 3>from or is it truly global?

0:22:58.000 --> 0:23:01.680
<v Speaker 8>Well, we certainly see them seeing talent around the globe,

0:23:01.880 --> 0:23:06.280
<v Speaker 8>but in terms of nations. State actors and cyber crime groups,

0:23:06.800 --> 0:23:10.280
<v Speaker 8>we see those coming out of China and Russia primarily respectively,

0:23:10.680 --> 0:23:14.520
<v Speaker 8>but certainly Aroan, North Korea and others are active on

0:23:14.560 --> 0:23:18.359
<v Speaker 8>the cyber stage. But cyber criminal groups, which are purely

0:23:18.440 --> 0:23:22.400
<v Speaker 8>profit motivated, they do source talent, and unfortunately they use

0:23:22.440 --> 0:23:25.440
<v Speaker 8>some of the same business models that our businesses do.

0:23:25.640 --> 0:23:30.920
<v Speaker 8>Ransomware as a service, where different groups specialize in either

0:23:31.400 --> 0:23:35.399
<v Speaker 8>stealing those credentials, writing the malware, or other pieces of

0:23:35.440 --> 0:23:40.920
<v Speaker 8>the supplied attack chain, they are able to specialize and

0:23:41.400 --> 0:23:45.520
<v Speaker 8>then create business models for easy access for less sophisticated

0:23:45.920 --> 0:23:50.920
<v Speaker 8>criminals to smash and grab and extract those rents, and.

0:23:50.840 --> 0:23:53.520
<v Speaker 2>They're moving more quickly right the time that they breach

0:23:53.560 --> 0:23:56.400
<v Speaker 2>into your network and then the time they do some

0:23:56.520 --> 0:23:59.200
<v Speaker 2>kind of attack. I remember a statistic when we talked.

0:23:59.200 --> 0:24:01.359
<v Speaker 2>It's now I think, I like less than a day,

0:24:01.440 --> 0:24:02.879
<v Speaker 2>less than twenty four hours.

0:24:03.560 --> 0:24:06.520
<v Speaker 8>It is on average this past year. It's from the

0:24:06.560 --> 0:24:09.760
<v Speaker 8>time of intrusion to the time of breach, it's less

0:24:09.760 --> 0:24:12.800
<v Speaker 8>than twenty four hours. It was about five days a

0:24:12.880 --> 0:24:16.280
<v Speaker 8>year ago. And what we see, unfortunately, is that in

0:24:16.359 --> 0:24:20.280
<v Speaker 8>about ten percent of those cases it's less than five hours.

0:24:20.640 --> 0:24:24.919
<v Speaker 8>And so when we talk to CEOs and CIOs about

0:24:24.960 --> 0:24:29.920
<v Speaker 8>protecting their organization, it really is all about time, time

0:24:29.960 --> 0:24:33.760
<v Speaker 8>to detect, time to respond, and that's where the power

0:24:33.920 --> 0:24:38.439
<v Speaker 8>of artificial intelligence really comes into play to turn that

0:24:38.520 --> 0:24:39.800
<v Speaker 8>back against the adversary.

0:24:40.320 --> 0:24:42.040
<v Speaker 3>How does that work when it comes to AI, I

0:24:42.040 --> 0:24:44.640
<v Speaker 3>mean take us through the process here.

0:24:46.440 --> 0:24:48.600
<v Speaker 8>Sure, So when you think about how technology like secure

0:24:48.640 --> 0:24:54.520
<v Speaker 8>works has where we're using artificial intelligence to really model

0:24:54.560 --> 0:24:57.360
<v Speaker 8>and amplify what we see in terms of adversary of

0:24:57.440 --> 0:25:00.560
<v Speaker 8>behavior inside of a network. So it's one to use

0:25:00.600 --> 0:25:04.159
<v Speaker 8>software to detect when they're deploying malware in an organization,

0:25:04.640 --> 0:25:07.720
<v Speaker 8>but it's another thing to know that the CEO's behavior

0:25:07.760 --> 0:25:12.639
<v Speaker 8>online or accessing certain information is unusual or anomalists. AI

0:25:12.720 --> 0:25:16.800
<v Speaker 8>can help you not only understand what's anomalists, but put

0:25:16.840 --> 0:25:19.199
<v Speaker 8>together much more data more quickly to say that it

0:25:19.240 --> 0:25:22.600
<v Speaker 8>is both anomalists and malicious. And the ability to detect

0:25:22.640 --> 0:25:25.960
<v Speaker 8>that quickly, to prioritize that, to raise it up to attention,

0:25:26.600 --> 0:25:29.320
<v Speaker 8>and then for the system to orchestrate the response to

0:25:29.359 --> 0:25:34.159
<v Speaker 8>protect the network is incredibly important. Speed security has to

0:25:34.200 --> 0:25:36.000
<v Speaker 8>move the speed of business, Wendy.

0:25:36.080 --> 0:25:39.199
<v Speaker 2>When you guys have either a new client or existing client,

0:25:39.320 --> 0:25:42.800
<v Speaker 2>I mean tell us are most are a lot of organizations.

0:25:42.800 --> 0:25:45.920
<v Speaker 2>It could be nonprofits as well as publicly held companies

0:25:46.080 --> 0:25:51.760
<v Speaker 2>or small companies, midsized companies are most institutions unprepared, under prepared.

0:25:53.440 --> 0:25:58.439
<v Speaker 8>Unfortunately, most organizations are more vulnerable than they realize, and

0:25:58.520 --> 0:26:00.480
<v Speaker 8>it may be that they've done a great job of

0:26:00.600 --> 0:26:05.160
<v Speaker 8>protecting their own assets, but they are inextricably linked with

0:26:05.440 --> 0:26:10.680
<v Speaker 8>other vendors, other suppliers, and thinking about your security as

0:26:10.840 --> 0:26:14.879
<v Speaker 8>having to secure those who are interoperating with your organization

0:26:15.000 --> 0:26:17.560
<v Speaker 8>and your systems as much as you secure your own

0:26:17.600 --> 0:26:21.879
<v Speaker 8>castle is probably the most important. But the good news

0:26:22.040 --> 0:26:26.640
<v Speaker 8>is that most cyber attacks, especially from cyber criminals, are

0:26:26.760 --> 0:26:31.720
<v Speaker 8>absolutely opportunistic and so just creating some degree of friction

0:26:31.920 --> 0:26:34.360
<v Speaker 8>that makes it more difficult for them to find that

0:26:34.760 --> 0:26:38.360
<v Speaker 8>unlocked back door goes a long way in terms of,

0:26:38.640 --> 0:26:43.359
<v Speaker 8>if not preventing breaches, absolutely mitigating the impact to the business. No.

0:26:43.480 --> 0:26:45.600
<v Speaker 2>I remember when we talked and I came in kind

0:26:45.640 --> 0:26:49.800
<v Speaker 2>of hot and heavy into our studio on the Monday,

0:26:49.920 --> 0:26:52.720
<v Speaker 2>was after sixty Minutes had aired a report. It was

0:26:52.760 --> 0:26:54.800
<v Speaker 2>about the Five Eyes and this was the five security

0:26:54.840 --> 0:27:00.000
<v Speaker 2>service heads or spy chiefs from the US, UK, Canada, Australia,

0:27:00.119 --> 0:27:02.680
<v Speaker 2>New Zealand and they had taken a trip to Silicon

0:27:02.800 --> 0:27:04.960
<v Speaker 2>Valley and they were talking about the greatest threat to

0:27:05.000 --> 0:27:08.040
<v Speaker 2>innovation in the countries of the Five Eyes, and that

0:27:08.240 --> 0:27:12.280
<v Speaker 2>was the threat and specifically Chinese industrial espionage, which I

0:27:12.320 --> 0:27:15.960
<v Speaker 2>think is kind of timely. But this idea of digital attacks,

0:27:16.000 --> 0:27:21.920
<v Speaker 2>cyber attacks about getting into an organization industrial espionage, whether

0:27:21.920 --> 0:27:25.719
<v Speaker 2>it's IP strategy at a company, I mean, is this

0:27:25.800 --> 0:27:27.280
<v Speaker 2>happening more and more.

0:27:28.920 --> 0:27:29.040
<v Speaker 9>So?

0:27:29.240 --> 0:27:32.639
<v Speaker 8>China is absolutely the most active nation state that we

0:27:32.720 --> 0:27:36.560
<v Speaker 8>see from a cyber perspective, and we watched them evolve

0:27:36.600 --> 0:27:39.399
<v Speaker 8>over time. So in the past, those threat groups have

0:27:39.520 --> 0:27:43.000
<v Speaker 8>had a reputation for sort of smash and grab, so

0:27:43.080 --> 0:27:47.080
<v Speaker 8>steal that intellectual property around something that's important of electric

0:27:47.200 --> 0:27:52.000
<v Speaker 8>battery developments or even agricultural innovation and scale, and so

0:27:52.080 --> 0:27:55.239
<v Speaker 8>that emphasis was really about just achieving the objective as

0:27:55.320 --> 0:27:58.679
<v Speaker 8>quickly as possible. But what we've seen more recently is

0:27:58.720 --> 0:28:01.800
<v Speaker 8>that a growing number of Chinese threat groups have demonstrated

0:28:01.800 --> 0:28:06.440
<v Speaker 8>an increasing focus on stealth and operational security and their intrusions,

0:28:06.920 --> 0:28:10.080
<v Speaker 8>and so it is often difficult for organizations to know

0:28:10.200 --> 0:28:12.920
<v Speaker 8>that the Chinese are in fact inside of their networks

0:28:13.280 --> 0:28:17.240
<v Speaker 8>and able to over a sustained period of time, not

0:28:17.280 --> 0:28:21.840
<v Speaker 8>only collect information, but determine what information is most valuable

0:28:21.880 --> 0:28:24.760
<v Speaker 8>and important to them, and do so leaving a minimal

0:28:24.800 --> 0:28:30.280
<v Speaker 8>intrusion footprint by leveraging a setup defense evasion techniques that

0:28:30.880 --> 0:28:34.240
<v Speaker 8>we've seen increasingly in place.

0:28:35.040 --> 0:28:36.800
<v Speaker 3>Hey, one thing, Wendy, I always like to ask people

0:28:36.840 --> 0:28:40.520
<v Speaker 3>in your positions are just how you conduct yourself as

0:28:40.520 --> 0:28:45.200
<v Speaker 3>a normal consumer online. You know what is possible, you

0:28:45.240 --> 0:28:47.840
<v Speaker 3>know what to watch out for, of course, but you

0:28:47.920 --> 0:28:51.760
<v Speaker 3>also probably do online banking and you probably have many,

0:28:51.760 --> 0:28:54.120
<v Speaker 3>many passwords for consumer facing websites.

0:28:54.560 --> 0:28:55.920
<v Speaker 7>How do you do it?

0:28:57.240 --> 0:29:01.720
<v Speaker 8>I do have a little extra vigilize around my online

0:29:01.720 --> 0:29:05.480
<v Speaker 8>activities and persona as you might imagine. First and foremost,

0:29:05.560 --> 0:29:09.960
<v Speaker 8>I do use separate devices for doing things like online banking.

0:29:10.520 --> 0:29:12.800
<v Speaker 8>One of the most important things you can do is

0:29:12.920 --> 0:29:17.880
<v Speaker 8>absolutely difficult and unique passwords for your online activity. I'm

0:29:17.920 --> 0:29:22.000
<v Speaker 8>sure all of you have received emails where your password

0:29:22.040 --> 0:29:26.200
<v Speaker 8>has been stolen, and therefore if it is able to

0:29:26.240 --> 0:29:29.600
<v Speaker 8>access any other application online that you're using, it's really

0:29:29.680 --> 0:29:33.400
<v Speaker 8>important that you have a diversity of passwords and that

0:29:33.440 --> 0:29:37.160
<v Speaker 8>you have secured the location of those passwords. No putting

0:29:37.160 --> 0:29:39.600
<v Speaker 8>those in your phone notes or that type of thing

0:29:39.600 --> 0:29:40.600
<v Speaker 8>when they're accessible.

0:29:40.760 --> 0:29:43.560
<v Speaker 2>That was Wendy Thomas, CEO it Secure Works. Here more

0:29:43.560 --> 0:29:46.600
<v Speaker 2>tips from Wendy and keeping your personal and business data safe.

0:29:46.680 --> 0:29:49.719
<v Speaker 3>On our podcast feed, you're listening to Bloomberg business Week.

0:29:49.880 --> 0:29:52.280
<v Speaker 3>We just heard how companies need to be vigilant about

0:29:52.520 --> 0:29:55.760
<v Speaker 3>having cybersecurity systems in place as part of their IT spend.

0:29:56.080 --> 0:29:58.479
<v Speaker 3>Our next guest weighs in on where those all important

0:29:58.520 --> 0:30:00.760
<v Speaker 3>IT dollars are flowing at the corporate level.

0:30:00.960 --> 0:30:03.520
<v Speaker 2>We speak with Ignite CEO of Venite Jane. When we

0:30:03.560 --> 0:30:05.080
<v Speaker 2>come back, this is Bloomberg.

0:30:05.440 --> 0:30:09.000
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:30:09.040 --> 0:30:12.400
<v Speaker 1>live weekday afternoons from three to six Eastern Listen on

0:30:12.440 --> 0:30:16.480
<v Speaker 1>Bloomberg dot com, the iHeartRadio app and the Bloomberg Business app,

0:30:16.760 --> 0:30:19.040
<v Speaker 1>or watch us live on YouTube.

0:30:19.320 --> 0:30:21.040
<v Speaker 3>Well, let's get to our next guest. He's the co

0:30:21.120 --> 0:30:23.880
<v Speaker 3>founder and CEO of Ignite. It's a software company that

0:30:23.920 --> 0:30:27.760
<v Speaker 3>focuses on data security, data governance, collaboration software. The startup

0:30:27.760 --> 0:30:29.600
<v Speaker 3>is rates about one hundred and forty million dollars from

0:30:29.600 --> 0:30:33.520
<v Speaker 3>backers including Golden Sachs, Kleiner Perkins, Google Ventures, and it's

0:30:33.520 --> 0:30:36.000
<v Speaker 3>got an annual runwrate of more than two hundred million dollars,

0:30:36.200 --> 0:30:38.680
<v Speaker 3>growing between twenty five and thirty five percent.

0:30:38.840 --> 0:30:40.840
<v Speaker 2>With us is with us is Vanite Jane. He is

0:30:40.880 --> 0:30:43.560
<v Speaker 2>co founder and CEO of Ignite Vanit. It is so

0:30:43.680 --> 0:30:45.200
<v Speaker 2>good to have you here with us. We want to

0:30:45.240 --> 0:30:48.360
<v Speaker 2>talk about your business and kind of get your thoughts

0:30:48.400 --> 0:30:50.920
<v Speaker 2>on some different things. But what are you guys seeing

0:30:50.960 --> 0:30:52.360
<v Speaker 2>in terms of the business environment.

0:30:53.320 --> 0:30:55.600
<v Speaker 5>You know why you're hearing a lot about how the

0:30:55.640 --> 0:30:59.640
<v Speaker 5>spending climate is very tough for extra deal scrutiny. Every

0:30:59.680 --> 0:31:03.640
<v Speaker 5>dollar spend, especially on subscription services leave aside hardware is

0:31:03.640 --> 0:31:07.320
<v Speaker 5>being questioned. While all that is true, we're kind of

0:31:07.320 --> 0:31:10.120
<v Speaker 5>seeing a dichotomy. There's a class of companies which are

0:31:10.160 --> 0:31:14.480
<v Speaker 5>eking out respectable growth present company included, versus those which

0:31:14.520 --> 0:31:19.160
<v Speaker 5>are not making the earnings or whatever the expected earnings were.

0:31:19.680 --> 0:31:23.200
<v Speaker 5>So I think it is coming down to execution and

0:31:23.240 --> 0:31:26.480
<v Speaker 5>the focus in terms of refining your go to market

0:31:26.640 --> 0:31:31.640
<v Speaker 5>product market mix, and therefore the performance is kind of mixed.

0:31:31.720 --> 0:31:34.040
<v Speaker 5>Some companies are doing very well, a lot of companies

0:31:34.040 --> 0:31:34.640
<v Speaker 5>are struggling.

0:31:34.760 --> 0:31:37.880
<v Speaker 2>Sa viny from your perspective advantage point, how would you

0:31:37.920 --> 0:31:38.880
<v Speaker 2>describe the economy?

0:31:39.520 --> 0:31:42.720
<v Speaker 5>So when I look at our target market, because my

0:31:42.760 --> 0:31:44.320
<v Speaker 5>answer is going to be in the context of the

0:31:44.360 --> 0:31:46.960
<v Speaker 5>market were going after both in terms of geographies and

0:31:47.000 --> 0:31:51.680
<v Speaker 5>certain industries. So we are predominantly North America. Eighty eight

0:31:51.720 --> 0:31:53.920
<v Speaker 5>percent of our revenue comes from North America, twelve percent

0:31:53.960 --> 0:31:57.680
<v Speaker 5>from Europe. And within the US, there are three industries

0:31:57.720 --> 0:32:00.280
<v Speaker 5>we're focused on specifically. One is AEC, which is an

0:32:00.320 --> 0:32:04.480
<v Speaker 5>acronym for architecture entering construction. The second one is biotech

0:32:04.480 --> 0:32:08.320
<v Speaker 5>life sciences. Third one is financial services AC in particular

0:32:08.720 --> 0:32:13.800
<v Speaker 5>is booming. Construction companies, architecture entering firms that we speak with,

0:32:14.320 --> 0:32:16.080
<v Speaker 5>they're saying they have a book of business which is

0:32:16.120 --> 0:32:19.600
<v Speaker 5>filled out till end of next year. But even there,

0:32:19.800 --> 0:32:23.280
<v Speaker 5>you're seeing companies focused in Florida, companies focused in Texas

0:32:23.800 --> 0:32:26.280
<v Speaker 5>they're doing very well. Companies focused in New York or

0:32:26.360 --> 0:32:29.240
<v Speaker 5>let's say my neck of the goods, San Francisco not

0:32:29.360 --> 0:32:33.160
<v Speaker 5>so much. Biotech life sciences is taken up in terms

0:32:33.160 --> 0:32:36.360
<v Speaker 5>of lack of follow funding funding being hard to come by,

0:32:36.880 --> 0:32:39.719
<v Speaker 5>but financial services, on the other hand, is rocketing. So

0:32:40.200 --> 0:32:42.560
<v Speaker 5>it's kind of a mixed back. So from my perspective,

0:32:42.760 --> 0:32:45.520
<v Speaker 5>if something ebbs, something else flows, and we just have

0:32:45.600 --> 0:32:47.200
<v Speaker 5>to figure out how to make our numbers to be

0:32:47.240 --> 0:32:49.280
<v Speaker 5>in that twenty five to thirty person growth range, which

0:32:49.280 --> 0:32:52.160
<v Speaker 5>has been core to our operations for the last eight years.

0:32:52.240 --> 0:32:55.040
<v Speaker 2>The geographical difference is is it just because that's where

0:32:55.480 --> 0:32:58.320
<v Speaker 2>certain markets are located in terms of your three different

0:32:58.360 --> 0:33:01.480
<v Speaker 2>businesses or what's doing well versus not? Or is it

0:33:01.520 --> 0:33:05.840
<v Speaker 2>because more expensive parts of the country to kind of

0:33:05.840 --> 0:33:09.640
<v Speaker 2>live and operate for businesses and that's problematic. I'm just

0:33:09.680 --> 0:33:11.520
<v Speaker 2>curious about those I thought it was interesting you said

0:33:11.560 --> 0:33:13.200
<v Speaker 2>Texas doing.

0:33:12.960 --> 0:33:14.600
<v Speaker 3>Well or is it secut or not?

0:33:14.720 --> 0:33:16.160
<v Speaker 2>Yeah, And that's what I'm trying to get to. Is

0:33:16.160 --> 0:33:17.280
<v Speaker 2>it or is it sector based?

0:33:18.320 --> 0:33:21.320
<v Speaker 5>You know, it's predominantly sector based. But then when you

0:33:21.320 --> 0:33:24.720
<v Speaker 5>look at biotech life sciences, it's concentrated in three areas, right,

0:33:24.760 --> 0:33:28.600
<v Speaker 5>It's San Diego, South, San Francisco, and Boston. But honestly,

0:33:28.600 --> 0:33:31.040
<v Speaker 5>as you said, it kind of boils down to very

0:33:31.040 --> 0:33:34.920
<v Speaker 5>specific industries and within that the size of the company.

0:33:35.320 --> 0:33:38.720
<v Speaker 5>Like when you look at construction engineering, the big gcs,

0:33:38.760 --> 0:33:42.800
<v Speaker 5>general contractors, mid size, small sized, subcons, electrical, mechanical, they're

0:33:42.800 --> 0:33:45.600
<v Speaker 5>all doing very well. But in life sciences the early

0:33:45.640 --> 0:33:48.840
<v Speaker 5>stage they emerging biotech they're struggling, whereas the big guy,

0:33:48.920 --> 0:33:50.920
<v Speaker 5>especially the ones if they are in the obcit drug

0:33:50.960 --> 0:33:53.840
<v Speaker 5>business like you've been hearing about the monor disk Ali

0:33:53.960 --> 0:33:55.560
<v Speaker 5>Lilly business is going.

0:33:56.160 --> 0:33:59.160
<v Speaker 3>That's Vinet Jane, the co founder and CEO of Ignite.

0:33:59.280 --> 0:34:01.959
<v Speaker 3>More from Venie on the Business Week podcast feed, including

0:34:02.000 --> 0:34:05.160
<v Speaker 3>his company's prospects for an IPO, and that wraps up

0:34:05.200 --> 0:34:07.400
<v Speaker 3>the first hour of the weekend edition of Bloomberg Business

0:34:07.440 --> 0:34:10.279
<v Speaker 3>Week from Bloomberg Radio. Ahead in our next hour, it's

0:34:10.320 --> 0:34:13.120
<v Speaker 3>a holiday weekend and we're talking food, or maybe a

0:34:13.239 --> 0:34:16.759
<v Speaker 3>lack thereof. Our Business Week team explores how ozempic may

0:34:16.760 --> 0:34:19.520
<v Speaker 3>have rocked Thanksgiving meals everywhere. Does that mean, Carol, I

0:34:19.560 --> 0:34:23.279
<v Speaker 3>only have to bring one cheesecake rather than two cheesecakes?

0:34:23.320 --> 0:34:25.919
<v Speaker 2>That just might be especially there are folks tapping into

0:34:25.920 --> 0:34:29.520
<v Speaker 2>ozempic at your Thanksgiving dinner table, all right? Plus what's

0:34:29.520 --> 0:34:32.200
<v Speaker 2>on the menu of fast casual dining. Pioneer ron Shake

0:34:32.640 --> 0:34:36.600
<v Speaker 2>chef Emeral Lagassi's son e J carves his own culinary path.

0:34:36.640 --> 0:34:38.920
<v Speaker 2>We'll hear from him as well. And a ninety year

0:34:38.960 --> 0:34:42.719
<v Speaker 2>old coffee maker prepares for the future. This is Bloomberg

0:34:42.719 --> 0:34:45.319
<v Speaker 2>Business Week. I'm Carol Masser and I'm hungry, and.

0:34:45.280 --> 0:34:47.680
<v Speaker 3>I'm Tim Steneveek. Stay with us. Today's top stories and

0:34:47.719 --> 0:34:50.080
<v Speaker 3>global business headlines are coming up right now.

0:34:51.800 --> 0:34:55.359
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:34:55.400 --> 0:34:59.400
<v Speaker 1>live weekday afternoons from three to six Easter on Bloomberg Radio,

0:34:59.560 --> 0:35:02.520
<v Speaker 1>the bloom Work Business app, and YouTube. You can also

0:35:02.600 --> 0:35:06.080
<v Speaker 1>listen live on Amazon Alexa from our flagship New York station,

0:35:06.520 --> 0:35:09.520
<v Speaker 1>Just Say Alexa, play Bloomberg eleven thirty.

0:35:11.000 --> 0:35:13.160
<v Speaker 2>Plenty ahead in our second hour of this holiday weekend

0:35:13.239 --> 0:35:16.520
<v Speaker 2>edition of Bloomberg Business Week, A very happy Thanksgiving to everybody.

0:35:16.920 --> 0:35:19.080
<v Speaker 2>We've got coming up a conversation with the son of

0:35:19.120 --> 0:35:22.800
<v Speaker 2>renowned chef em roal Lagasi. I'm continuing a family tradition

0:35:22.960 --> 0:35:26.040
<v Speaker 2>in the kitchen, and along those same lines, the patriarch

0:35:26.080 --> 0:35:29.720
<v Speaker 2>of coffee and espresso maker Elei Cafe tells us what's

0:35:29.840 --> 0:35:31.560
<v Speaker 2>next for the ninety year old company.

0:35:31.840 --> 0:35:34.319
<v Speaker 3>Plus o Zapick and other weight loss drugs appear to

0:35:34.320 --> 0:35:37.600
<v Speaker 3>have made a big dent in Thanksgiving food consumption, while

0:35:37.640 --> 0:35:39.920
<v Speaker 3>let's focus on the turkey and trimmings could be an

0:35:39.920 --> 0:35:42.520
<v Speaker 3>ominous sign of what's to come for food companies.

0:35:42.560 --> 0:35:45.399
<v Speaker 2>Man, it's a series of drugs that's just disrupting our

0:35:45.440 --> 0:35:48.080
<v Speaker 2>world in so many ways. All right, First up this hour,

0:35:48.160 --> 0:35:50.480
<v Speaker 2>we welcome back Ron Shake. He is the founder and

0:35:50.520 --> 0:35:53.480
<v Speaker 2>former chairman and CEO of Panera Bread and Albon Pan

0:35:53.920 --> 0:35:57.760
<v Speaker 2>and is today the chairman of Cava, Tate, Life Alive

0:35:57.960 --> 0:35:59.080
<v Speaker 2>and Level ninety nine.

0:35:59.280 --> 0:36:01.800
<v Speaker 3>He recently joined us to discuss his new book, Know

0:36:01.960 --> 0:36:05.319
<v Speaker 3>What Matters, lessons from a lifetime of transformations in his

0:36:05.400 --> 0:36:08.120
<v Speaker 3>path to becoming the father of fast casual dining.

0:36:08.800 --> 0:36:12.640
<v Speaker 10>You know, we sold can Era for seven billion dollars

0:36:12.680 --> 0:36:17.280
<v Speaker 10>and put it in good hands. And we're just applying

0:36:17.320 --> 0:36:21.320
<v Speaker 10>the very same disciplines. We're picking the categories of the future,

0:36:21.400 --> 0:36:24.880
<v Speaker 10>the categories with tailwinds, and then we're helping build the

0:36:24.920 --> 0:36:30.799
<v Speaker 10>dominant brands in those categories. Mediterranean, positive eating, immersive entertainment,

0:36:31.280 --> 0:36:35.879
<v Speaker 10>third wave, bakery, cafe. It's literally the same thing, transformation,

0:36:36.040 --> 0:36:38.440
<v Speaker 10>over and over and over. But but you know, you

0:36:38.719 --> 0:36:42.320
<v Speaker 10>asked me about fast casual. It's hard for me to imagine.

0:36:42.480 --> 0:36:48.680
<v Speaker 10>I can remember nineteen ninety three, ninety four, and ninety

0:36:48.680 --> 0:36:52.160
<v Speaker 10>five and we were beginning to think about what fast

0:36:52.200 --> 0:36:55.200
<v Speaker 10>casual could be. It was simply a reaction to what

0:36:55.320 --> 0:36:58.200
<v Speaker 10>existed at that time, fast food and fine dining, and

0:36:59.000 --> 0:37:03.839
<v Speaker 10>with empathy, we we're looking at We're talking to consumers

0:37:04.280 --> 0:37:07.440
<v Speaker 10>and they were saying I wanted something more, I want,

0:37:07.600 --> 0:37:09.600
<v Speaker 10>you know, And we began to imagine if we could

0:37:09.640 --> 0:37:14.160
<v Speaker 10>deliver real food environments that engage our customers, if we

0:37:14.200 --> 0:37:16.440
<v Speaker 10>could do it with people who cared, we had the

0:37:16.480 --> 0:37:21.040
<v Speaker 10>opportunity to change the currencies of that industry. The currencies

0:37:21.080 --> 0:37:22.880
<v Speaker 10>of fast food were a lot of food for not

0:37:22.960 --> 0:37:25.239
<v Speaker 10>a lot of money, and we began to say what

0:37:25.280 --> 0:37:29.359
<v Speaker 10>we could offer is actually something that elevated people's self

0:37:29.480 --> 0:37:32.480
<v Speaker 10>esteem for just a few dollars. More, what's amazing to

0:37:32.520 --> 0:37:36.600
<v Speaker 10>me is that understanding, this understanding that people wanted something

0:37:36.719 --> 0:37:40.120
<v Speaker 10>better has grown into, as you put it, one hundred

0:37:40.160 --> 0:37:43.560
<v Speaker 10>and ninety billion dollars. And the truth of the matter

0:37:43.680 --> 0:37:47.319
<v Speaker 10>is the number one thing in business is trying to

0:37:47.520 --> 0:37:52.880
<v Speaker 10>understand with empathy what drives consumers, what matters to them,

0:37:53.000 --> 0:37:54.800
<v Speaker 10>What are they going to care about tomorrow.

0:37:55.480 --> 0:38:00.640
<v Speaker 2>Brands, you know, get caught up in politics. Your brands haven't.

0:38:00.719 --> 0:38:03.279
<v Speaker 2>But it's just interesting that it's it's tough running a

0:38:03.360 --> 0:38:06.000
<v Speaker 2>brand or creating a brand and making sure you're tapping

0:38:06.040 --> 0:38:11.960
<v Speaker 2>in to consumers in a way that doesn't alienate right

0:38:12.160 --> 0:38:14.800
<v Speaker 2>or even like whether through advertising or marketing, like, I

0:38:14.840 --> 0:38:16.120
<v Speaker 2>don't know, I don't know how you think about that.

0:38:16.160 --> 0:38:19.480
<v Speaker 2>You know, the companies there's been Disney targeted, Budweiser that

0:38:19.560 --> 0:38:22.360
<v Speaker 2>have been targeted. It's sometimes hard being a company in

0:38:22.360 --> 0:38:23.359
<v Speaker 2>today's space.

0:38:23.320 --> 0:38:26.000
<v Speaker 10>Totally, and I'm glad I'm not a CEO having to

0:38:26.000 --> 0:38:29.719
<v Speaker 10>make those determinations. But having said that, I'll speak to

0:38:29.760 --> 0:38:33.520
<v Speaker 10>it because I have and over years I've taken positions

0:38:34.160 --> 0:38:37.719
<v Speaker 10>and and and here's the point We don't want to

0:38:37.760 --> 0:38:41.160
<v Speaker 10>allow our brands to be the bully pulpit for whatever

0:38:41.200 --> 0:38:46.799
<v Speaker 10>political forces are playing out in society. We represent our shareholders.

0:38:46.840 --> 0:38:48.879
<v Speaker 10>We need to be careful. But what we do want

0:38:48.960 --> 0:38:54.080
<v Speaker 10>to do is take positions relative to issues of humanity,

0:38:54.800 --> 0:38:57.480
<v Speaker 10>and that's very different than political stands. So let me

0:38:57.560 --> 0:39:01.479
<v Speaker 10>let me be clear. You you need to call out

0:39:01.560 --> 0:39:06.600
<v Speaker 10>the atrocity of what Hamas did simultaneously during the George

0:39:06.600 --> 0:39:10.319
<v Speaker 10>Floyd instance, you need to call out the lack of

0:39:10.440 --> 0:39:14.440
<v Speaker 10>humanity in what happened to George Floyd. You have to

0:39:14.480 --> 0:39:20.200
<v Speaker 10>call out that the death of innocent children in Gaza.

0:39:21.040 --> 0:39:27.040
<v Speaker 10>They're all issues of humanity. And my point is at

0:39:27.480 --> 0:39:32.240
<v Speaker 10>the core, we have a responsibility to validate and speak

0:39:32.280 --> 0:39:36.560
<v Speaker 10>to the human needs of our team members and our consumers,

0:39:37.080 --> 0:39:39.960
<v Speaker 10>and in every one of those cases, they are all

0:39:40.200 --> 0:39:45.080
<v Speaker 10>about humanity and calling that out in a real way. Ron.

0:39:45.320 --> 0:39:48.520
<v Speaker 3>It's interesting you've used several times in our interview, which

0:39:48.520 --> 0:39:51.920
<v Speaker 3>has just been a few minutes, the word empathy, and

0:39:51.960 --> 0:39:55.040
<v Speaker 3>you've set humanity several times. And you know, at the

0:39:55.080 --> 0:39:58.680
<v Speaker 3>end of the day, we're talking about fast casual restaurants,

0:39:59.480 --> 0:40:03.200
<v Speaker 3>you know, And I'm just really interested to hear this approach,

0:40:04.080 --> 0:40:06.880
<v Speaker 3>whether it you know, and how it comes to your customers,

0:40:06.880 --> 0:40:09.279
<v Speaker 3>and how it comes to your employees, and how it

0:40:09.320 --> 0:40:12.560
<v Speaker 3>comes to you deciding Okay, what's the next thing that

0:40:12.600 --> 0:40:14.520
<v Speaker 3>a customer is going to want tomorrow? And how is

0:40:14.560 --> 0:40:15.680
<v Speaker 3>empathy tied into that?

0:40:16.160 --> 0:40:18.719
<v Speaker 10>You know, that's that's great, Tim, It's at the very

0:40:18.760 --> 0:40:20.280
<v Speaker 10>core of everything.

0:40:20.600 --> 0:40:20.799
<v Speaker 2>You know.

0:40:20.840 --> 0:40:25.000
<v Speaker 10>We're in a consumer business and the most powerful skill

0:40:25.360 --> 0:40:29.560
<v Speaker 10>in business, in leading these companies is to feel, is

0:40:29.600 --> 0:40:33.399
<v Speaker 10>to feel the needs of our guests. The reason, the

0:40:33.400 --> 0:40:36.480
<v Speaker 10>only reason to exist is to be a better competitive alternative.

0:40:36.840 --> 0:40:39.520
<v Speaker 10>A lot of the discussion we have on these kinds

0:40:39.560 --> 0:40:44.560
<v Speaker 10>of programs are about value creation. But value creation is

0:40:44.600 --> 0:40:47.560
<v Speaker 10>not something I can make. It's a byproduct. It's a

0:40:47.560 --> 0:40:50.480
<v Speaker 10>byproduct of what It's a byproduct of being a better

0:40:50.520 --> 0:40:54.880
<v Speaker 10>competitive alternative. For some consumers. What is a better competitive alternative?

0:40:55.200 --> 0:40:59.080
<v Speaker 10>It means I'm a place that my target customer are

0:40:59.120 --> 0:41:03.640
<v Speaker 10>going to walk past my competitors and choose us. That's

0:41:03.680 --> 0:41:07.360
<v Speaker 10>the essence of value. That's what creates value. So the

0:41:07.480 --> 0:41:12.120
<v Speaker 10>means to that is understanding what drives my consumer, listening

0:41:12.160 --> 0:41:14.719
<v Speaker 10>to them, and that's where empathy comes in, and then

0:41:14.840 --> 0:41:17.279
<v Speaker 10>being able to do it So the mantra in this

0:41:17.320 --> 0:41:22.560
<v Speaker 10>book is tell the truth, figure out or know what matters,

0:41:22.880 --> 0:41:25.600
<v Speaker 10>and then get it done and over and over and over.

0:41:25.760 --> 0:41:26.560
<v Speaker 10>That has worked.

0:41:27.840 --> 0:41:30.000
<v Speaker 2>Ron is it easier to do it in a private

0:41:30.120 --> 0:41:33.719
<v Speaker 2>company privately held company versus a publicly held company, And

0:41:33.760 --> 0:41:34.920
<v Speaker 2>you've seen both sides of.

0:41:34.880 --> 0:41:35.800
<v Speaker 7>That for sure.

0:41:36.239 --> 0:41:38.960
<v Speaker 10>I mean, the less the constituents, the easier.

0:41:38.680 --> 0:41:39.839
<v Speaker 7>It is for all of us.

0:41:40.320 --> 0:41:43.520
<v Speaker 10>Having said that, we just were involved in the IPO

0:41:43.640 --> 0:41:47.880
<v Speaker 10>of Cava. Cava is a superb public company. Deserves to

0:41:47.920 --> 0:41:51.880
<v Speaker 10>be public, but not every company does. Nine of the

0:41:51.920 --> 0:41:54.839
<v Speaker 10>CEOs I talk to who go public live to regret it.

0:41:54.920 --> 0:41:57.520
<v Speaker 10>I don't think that's going to happen in Cava. Cava

0:41:57.680 --> 0:42:02.000
<v Speaker 10>is a powerfully strong brand. It exists in a category

0:42:02.040 --> 0:42:07.800
<v Speaker 10>with powerful tailwinds Mediterranean and Mediterranean is powerful. It's the

0:42:07.880 --> 0:42:10.719
<v Speaker 10>number one diet in the country. It's got bold but

0:42:10.880 --> 0:42:16.399
<v Speaker 10>familiar flavors, flavors that feel safe, and Covet has been

0:42:16.400 --> 0:42:19.759
<v Speaker 10>built to be the dominant brand in that category. It's

0:42:19.800 --> 0:42:22.640
<v Speaker 10>because of that and because it's got so much growth

0:42:22.680 --> 0:42:25.400
<v Speaker 10>ahead of it, which really is what drives the multiple.

0:42:25.719 --> 0:42:29.239
<v Speaker 10>So much growth ahead of it that it deserves to

0:42:29.239 --> 0:42:32.480
<v Speaker 10>be a public company. It's got a management team that

0:42:32.560 --> 0:42:35.600
<v Speaker 10>knows how to run a public company. It's got an

0:42:35.680 --> 0:42:39.680
<v Speaker 10>organization that can run a larger organization. It's been prepared

0:42:39.719 --> 0:42:41.799
<v Speaker 10>to be a public company. But the truth of the

0:42:41.840 --> 0:42:46.000
<v Speaker 10>matter is many companies aren't ripe or right to be

0:42:46.040 --> 0:42:47.440
<v Speaker 10>a public company.

0:42:47.920 --> 0:42:52.160
<v Speaker 3>What's one fast casual chain or restaurant that you wish

0:42:52.160 --> 0:42:53.320
<v Speaker 3>you were a part of, but you're.

0:42:53.160 --> 0:42:58.840
<v Speaker 10>Not Freezing Cane, Chick fil A. They're all great. I honestly,

0:42:58.880 --> 0:43:01.720
<v Speaker 10>I love the concepts where invested in. You know, Tate

0:43:01.960 --> 0:43:07.520
<v Speaker 10>is killing it Life Alive, you know level ninety nine.

0:43:08.080 --> 0:43:09.960
<v Speaker 10>I mean, we wouldn't have put our own money on

0:43:10.000 --> 0:43:11.600
<v Speaker 10>the line. This is our money.

0:43:11.600 --> 0:43:12.640
<v Speaker 7>We don't have LPs.

0:43:13.000 --> 0:43:15.960
<v Speaker 10>We took about two hundred and fifty million and now

0:43:16.000 --> 0:43:18.680
<v Speaker 10>a portfolio worth an excess of a billion dollars.

0:43:19.280 --> 0:43:19.440
<v Speaker 9>Ron.

0:43:19.480 --> 0:43:23.440
<v Speaker 2>What I wonder about is know what matters? Tell us

0:43:23.440 --> 0:43:25.040
<v Speaker 2>about this book and why you wanted to do it,

0:43:25.120 --> 0:43:26.560
<v Speaker 2>and why you wanted to do it now.

0:43:26.960 --> 0:43:30.239
<v Speaker 10>You know, I wanted this book for my kids. I

0:43:30.280 --> 0:43:33.120
<v Speaker 10>wanted this book for all the companies we're investing in.

0:43:33.480 --> 0:43:35.680
<v Speaker 10>There's a way to do it, a better way to

0:43:35.760 --> 0:43:38.280
<v Speaker 10>do it, a way to build a company of quality,

0:43:38.680 --> 0:43:43.120
<v Speaker 10>and build a company that has values. And I also

0:43:43.440 --> 0:43:46.800
<v Speaker 10>very much wanted to write something that broke the genre.

0:43:47.320 --> 0:43:51.360
<v Speaker 10>Most of these books written by former CEOs are you

0:43:51.400 --> 0:43:54.759
<v Speaker 10>know stories. They're saying I did it. You know, I

0:43:54.800 --> 0:43:57.160
<v Speaker 10>did very well. You know, if you do like I do,

0:43:57.280 --> 0:44:00.600
<v Speaker 10>you can do well. That's not the reality. This is

0:44:00.640 --> 0:44:03.440
<v Speaker 10>tough stuff, and I wanted to speak about how do

0:44:03.520 --> 0:44:06.040
<v Speaker 10>you do it, how do you figure out today what's

0:44:06.040 --> 0:44:08.640
<v Speaker 10>going to matter tomorrow, how do you run a large

0:44:08.719 --> 0:44:12.680
<v Speaker 10>public company? Thank you, how do you figure out what

0:44:12.760 --> 0:44:15.799
<v Speaker 10>it means to be an entrepreneur? And then, most importantly,

0:44:15.800 --> 0:44:19.239
<v Speaker 10>what I wanted was to speak about the humanity of

0:44:19.280 --> 0:44:21.839
<v Speaker 10>the experience of running a public company. What it means

0:44:21.840 --> 0:44:24.400
<v Speaker 10>when you have people's lives on the line, when you

0:44:24.400 --> 0:44:27.040
<v Speaker 10>have thousands, hundreds of thousands of people that are counting

0:44:27.080 --> 0:44:30.040
<v Speaker 10>on you to make the right decision, six seven eight

0:44:30.080 --> 0:44:33.839
<v Speaker 10>billion dollars of investor capital on the line, and what

0:44:33.880 --> 0:44:36.760
<v Speaker 10>that feels like sitting on your shoulders when you're taking

0:44:36.800 --> 0:44:40.440
<v Speaker 10>these companies through massive transformation. So that, to me, is

0:44:40.480 --> 0:44:43.640
<v Speaker 10>the really powerful stuff in this book, the lessons and

0:44:43.680 --> 0:44:46.319
<v Speaker 10>the humanity of it, as opposed to simply.

0:44:46.000 --> 0:44:49.560
<v Speaker 3>The stories that's ron shake chairman and lead investor in

0:44:49.640 --> 0:44:53.239
<v Speaker 3>Kaba Tate, Life Alive and Level ninety nine. His new

0:44:53.280 --> 0:44:55.160
<v Speaker 3>book Know What Matters is out now.

0:44:55.360 --> 0:44:57.640
<v Speaker 2>You're listening to Bloomberg Business Week. Coming up, we go

0:44:57.719 --> 0:45:01.040
<v Speaker 2>inside the kitchen with EJ. Lagassi, one of celebrity chef

0:45:01.080 --> 0:45:05.799
<v Speaker 2>Emerald Agassi, who's continuing a decades long tradition of culinary greatness.

0:45:06.000 --> 0:45:08.880
<v Speaker 6>You know, there's a standard that I learned as coming

0:45:08.920 --> 0:45:10.719
<v Speaker 6>up and working in our family restaurants and stuff like

0:45:10.760 --> 0:45:13.040
<v Speaker 6>that and just being around there that I was taught

0:45:13.080 --> 0:45:15.560
<v Speaker 6>to upkeep, and I think the goal is just sort

0:45:15.640 --> 0:45:19.960
<v Speaker 6>of curating that, bringing the restaurants into the next stage

0:45:20.080 --> 0:45:22.319
<v Speaker 6>of their lives. You know, their restaurants that have been

0:45:22.320 --> 0:45:24.399
<v Speaker 6>around for thirty three years. You can't throw a stick

0:45:24.400 --> 0:45:25.840
<v Speaker 6>of dynamite in the room and cover the years and

0:45:25.880 --> 0:45:28.840
<v Speaker 6>just let the place, you know, change totally.

0:45:29.000 --> 0:45:30.160
<v Speaker 3>This is Bloomberg.

0:45:30.520 --> 0:45:34.080
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:45:34.120 --> 0:45:37.440
<v Speaker 1>live weekday afternoons from three to six Eastern Listen on

0:45:37.520 --> 0:45:41.560
<v Speaker 1>Bloomberg dot com, the iHeartRadio app, and the Bloomberg Business app,

0:45:41.840 --> 0:45:43.520
<v Speaker 1>or watch us live on YouTube.

0:45:44.600 --> 0:45:46.560
<v Speaker 2>Just about a year ago, Tim and I caught up

0:45:46.600 --> 0:45:49.080
<v Speaker 2>with one of the iconic chefs of our time. We're

0:45:49.080 --> 0:45:51.719
<v Speaker 2>talking about Emerald Lagasi. We spoke with him about his

0:45:51.840 --> 0:45:54.680
<v Speaker 2>cooking show on Roku that had just come out, and

0:45:54.719 --> 0:45:58.480
<v Speaker 2>also about sharing his passion with the next generation, specifically

0:45:58.520 --> 0:45:59.440
<v Speaker 2>his son e J.

0:46:00.120 --> 0:46:02.440
<v Speaker 3>And exactly one year to the day from when Emerald

0:46:02.440 --> 0:46:04.680
<v Speaker 3>paid a visit to our New York studios, we had

0:46:04.680 --> 0:46:07.240
<v Speaker 3>the pleasure of catching up with Ej too. He had

0:46:07.320 --> 0:46:10.120
<v Speaker 3>just received the prestigious New Talent of the Year award

0:46:10.160 --> 0:46:13.400
<v Speaker 3>from La List. It's a French ranking and restaurant's guide,

0:46:13.560 --> 0:46:16.279
<v Speaker 3>and yet his attention remains solely on his craft, not

0:46:16.560 --> 0:46:17.759
<v Speaker 3>when it comes to the accolades.

0:46:18.440 --> 0:46:21.239
<v Speaker 6>I have a love for food myself, right that I

0:46:21.280 --> 0:46:24.560
<v Speaker 6>think is independent from my father a bit, you know.

0:46:24.640 --> 0:46:28.200
<v Speaker 6>I think that there's a lot of passion that I

0:46:28.320 --> 0:46:31.760
<v Speaker 6>have for it. That is, that is a naturally occurring passion,

0:46:32.080 --> 0:46:36.160
<v Speaker 6>but it certainly you know, exaggerated the passion having my

0:46:36.239 --> 0:46:41.279
<v Speaker 6>dad be so involved and always willing to show, you know,

0:46:41.520 --> 0:46:46.080
<v Speaker 6>in a sort of educational sense, show a lot about cooking,

0:46:46.160 --> 0:46:48.080
<v Speaker 6>which was which was great. He did it on television

0:46:48.120 --> 0:46:50.839
<v Speaker 6>for many years, showing everybody, you know, how to cook

0:46:50.880 --> 0:46:51.440
<v Speaker 6>and things like that.

0:46:51.600 --> 0:46:53.120
<v Speaker 2>Kind of really one of the first individuals if you

0:46:53.160 --> 0:46:53.960
<v Speaker 2>think about it, I think so.

0:46:54.120 --> 0:46:56.399
<v Speaker 6>Yeah, I think so, And it carried over for shore

0:46:56.480 --> 0:46:57.040
<v Speaker 6>into the house.

0:46:57.080 --> 0:47:01.279
<v Speaker 3>So I want to know how you felt about the

0:47:01.360 --> 0:47:05.040
<v Speaker 3>desire to prove yourself in the kitchen. Yah, when you

0:47:05.160 --> 0:47:08.120
<v Speaker 3>come from a family that is so well known for cooking,

0:47:08.200 --> 0:47:11.200
<v Speaker 3>when somebody who might not know you might say to themselves, well,

0:47:11.200 --> 0:47:13.960
<v Speaker 3>look where he is. He's only there because of who

0:47:13.960 --> 0:47:16.840
<v Speaker 3>his dad is. How do you deal with that criticism?

0:47:16.840 --> 0:47:17.759
<v Speaker 3>How do you push past it?

0:47:17.800 --> 0:47:19.359
<v Speaker 6>Well, you know, it's something that probably comes up quite

0:47:19.360 --> 0:47:20.960
<v Speaker 6>a bit that some people would throw on.

0:47:21.320 --> 0:47:21.480
<v Speaker 1>Look.

0:47:21.520 --> 0:47:23.240
<v Speaker 6>I mean the thing is is, I know I'm comfortable

0:47:23.239 --> 0:47:24.600
<v Speaker 6>in my own skin. I know the fact that I've

0:47:24.600 --> 0:47:28.399
<v Speaker 6>spent hours in the kitchens right and not ours, which

0:47:28.440 --> 0:47:29.719
<v Speaker 6>is what I think the big thing was. I think

0:47:29.719 --> 0:47:32.719
<v Speaker 6>had I stayed in just our kitchens and just been

0:47:32.800 --> 0:47:35.279
<v Speaker 6>at Emeralds or something, that it would very easily be

0:47:36.320 --> 0:47:37.960
<v Speaker 6>who pushed you to work harder?

0:47:38.040 --> 0:47:38.239
<v Speaker 1>You know?

0:47:39.040 --> 0:47:41.960
<v Speaker 6>I remember very early conversation with my father. I mean,

0:47:41.960 --> 0:47:43.920
<v Speaker 6>you know, it's a conversation with me. I'm like thirteen,

0:47:44.000 --> 0:47:46.040
<v Speaker 6>fourteen years old. He's like, you're going to have to

0:47:46.080 --> 0:47:47.920
<v Speaker 6>work twice as hard as anybody in the room because

0:47:47.920 --> 0:47:51.799
<v Speaker 6>of that. And really so that was I think part

0:47:51.840 --> 0:47:53.719
<v Speaker 6>of the whole philosophy of me maybe leaving the nest

0:47:53.719 --> 0:47:56.080
<v Speaker 6>and going and working other places. And I work here

0:47:56.160 --> 0:47:58.280
<v Speaker 6>in New York for a bit, and then in London

0:47:58.280 --> 0:48:01.480
<v Speaker 6>and in Stockholm as well, and so was able to

0:48:01.680 --> 0:48:04.080
<v Speaker 6>see how other people did it, and and and I

0:48:04.080 --> 0:48:07.000
<v Speaker 6>think that that was a big key and being confident

0:48:07.120 --> 0:48:09.879
<v Speaker 6>myself to be able to push past that. And then

0:48:09.880 --> 0:48:12.520
<v Speaker 6>for the you know, for the the comment that comes

0:48:12.560 --> 0:48:15.960
<v Speaker 6>from that, you know, I just invite people to, you know,

0:48:16.000 --> 0:48:18.000
<v Speaker 6>eat at the restaurant. That's really all I can do

0:48:18.040 --> 0:48:18.879
<v Speaker 6>is cook at that point.

0:48:19.080 --> 0:48:20.799
<v Speaker 2>And we want to talk about the restaurant that just

0:48:20.960 --> 0:48:24.719
<v Speaker 2>is reopening after renovation in New Orleans. But you did

0:48:24.760 --> 0:48:25.600
<v Speaker 2>go to culinary school.

0:48:25.640 --> 0:48:26.879
<v Speaker 9>I graduated a.

0:48:26.880 --> 0:48:31.000
<v Speaker 6>Year No, I graduated, uh three years ago, three years ago,

0:48:31.160 --> 0:48:31.920
<v Speaker 6>twenty twenty.

0:48:31.719 --> 0:48:35.120
<v Speaker 2>One one, forgive me, forgive me. And then you were

0:48:35.400 --> 0:48:37.200
<v Speaker 2>what did you learn in that process of kind of

0:48:37.239 --> 0:48:39.000
<v Speaker 2>you said, you like you learned different ways of people

0:48:39.040 --> 0:48:41.319
<v Speaker 2>doing it. But what was that process like as you

0:48:41.360 --> 0:48:41.920
<v Speaker 2>go around the.

0:48:41.920 --> 0:48:43.839
<v Speaker 6>World, Well, you know the process, and did you.

0:48:43.800 --> 0:48:45.440
<v Speaker 2>Have an advantage when people are like, I know that

0:48:45.520 --> 0:48:46.120
<v Speaker 2>last name.

0:48:46.400 --> 0:48:49.640
<v Speaker 6>No, you know, I was an art in Europe. In Europe,

0:48:49.920 --> 0:48:51.440
<v Speaker 6>not really many people knew. I mean here in New

0:48:51.520 --> 0:48:53.440
<v Speaker 6>York they knew and and and some of the restaurants

0:48:53.440 --> 0:48:56.040
<v Speaker 6>that I worked in here it was it was really

0:48:56.120 --> 0:48:58.759
<v Speaker 6>nice because some of them actually kept people from knowing that.

0:48:59.000 --> 0:49:01.480
<v Speaker 6>It ended up coming out eventually anyway. But it was

0:49:01.640 --> 0:49:04.440
<v Speaker 6>like sith, yeah, yeah, yeah, no, I wasn't, you know,

0:49:04.480 --> 0:49:06.799
<v Speaker 6>John smithing my way through the restaurants. But it was

0:49:06.880 --> 0:49:11.040
<v Speaker 6>it was. It was a process of working and learning.

0:49:11.040 --> 0:49:13.520
<v Speaker 6>And it's not just actually like technique or you know,

0:49:14.040 --> 0:49:16.600
<v Speaker 6>recipes or ingredients and things like that. It was how

0:49:16.640 --> 0:49:18.840
<v Speaker 6>people conduct themselves in kitchens. I think that was a

0:49:18.880 --> 0:49:20.480
<v Speaker 6>lot of it too, and how to conduct themselves as

0:49:20.520 --> 0:49:23.840
<v Speaker 6>restaurant tours and as chefs that I think I picked up.

0:49:23.880 --> 0:49:25.879
<v Speaker 6>And you know, it's like learning a language. When you're young.

0:49:26.000 --> 0:49:28.040
<v Speaker 6>You're like a sponge at that point. So yeah, but

0:49:28.080 --> 0:49:30.399
<v Speaker 6>you're learning. I mean, my my, my dad's an older

0:49:30.400 --> 0:49:33.919
<v Speaker 6>gentleman now, and I'm he's not a younger. No, no, no, no,

0:49:34.280 --> 0:49:37.120
<v Speaker 6>what is it like mid sixties. Yeah, he's like sixty four. Yeah,

0:49:37.400 --> 0:49:39.280
<v Speaker 6>you know, and so hey, no, no.

0:49:39.080 --> 0:49:43.280
<v Speaker 2>No, John Tucker's all upset.

0:49:44.000 --> 0:49:45.919
<v Speaker 6>And and and so you know, I mean I think

0:49:45.920 --> 0:49:50.120
<v Speaker 6>that there is there is that just you know, we

0:49:50.200 --> 0:49:52.600
<v Speaker 6>love cooking, and and it was always going to be

0:49:52.640 --> 0:49:54.279
<v Speaker 6>something that I wanted to be able to do. And

0:49:54.560 --> 0:49:56.360
<v Speaker 6>that and whether I did it in the restaurants or

0:49:56.360 --> 0:49:58.239
<v Speaker 6>did it for my family one day or whatever that

0:49:58.280 --> 0:50:00.319
<v Speaker 6>may be, I was always going to learn how to cook,

0:50:00.360 --> 0:50:02.080
<v Speaker 6>being you know, his son and that, and I think

0:50:02.080 --> 0:50:04.080
<v Speaker 6>that he made sure of that, but it ended up,

0:50:04.120 --> 0:50:05.320
<v Speaker 6>you know, working to my advantage.

0:50:05.480 --> 0:50:07.360
<v Speaker 3>How old were you when you went to culinary school?

0:50:07.719 --> 0:50:10.719
<v Speaker 6>I was seventeen, sixteen, seventeen, And how old are you

0:50:10.760 --> 0:50:11.360
<v Speaker 6>know at twenty?

0:50:11.680 --> 0:50:14.759
<v Speaker 3>So you're people listening might not realize how young you are.

0:50:14.840 --> 0:50:16.640
<v Speaker 3>You're sure, yeah, you're I mean, even though you grew

0:50:16.719 --> 0:50:17.680
<v Speaker 3>up in the in the business.

0:50:17.719 --> 0:50:20.160
<v Speaker 6>I mean, you're a baby baby.

0:50:23.960 --> 0:50:27.560
<v Speaker 3>It must also be difficult, though, like separating yourself. I mean,

0:50:27.560 --> 0:50:29.120
<v Speaker 3>you get the same name as your dad, right, the

0:50:29.160 --> 0:50:32.560
<v Speaker 3>exact sement, Yeah, separating yourself in terms of the way

0:50:32.600 --> 0:50:35.120
<v Speaker 3>you think about food, the way you think about cooking.

0:50:35.600 --> 0:50:38.520
<v Speaker 3>How would you say your cooking philosophy is different? Or

0:50:38.520 --> 0:50:41.200
<v Speaker 3>how do you want to distinguish yourself from from your dad?

0:50:41.280 --> 0:50:43.279
<v Speaker 6>You know, I I I was asked this the other

0:50:43.320 --> 0:50:45.200
<v Speaker 6>day by somebody, And I don't know if there's such

0:50:45.239 --> 0:50:48.320
<v Speaker 6>a need to distinguish and be different. You know, I

0:50:48.360 --> 0:50:51.279
<v Speaker 6>think that there's there's a desire to continue on a

0:50:51.360 --> 0:50:55.160
<v Speaker 6>legacy of stuff that's done not necessarily through food television,

0:50:55.160 --> 0:50:58.520
<v Speaker 6>but through the actual restaurants themselves. And you know, there's

0:50:58.520 --> 0:51:01.680
<v Speaker 6>a standard that I learned as coming up and working

0:51:01.680 --> 0:51:03.200
<v Speaker 6>in our family restaurants and stuff like that and just

0:51:03.239 --> 0:51:06.319
<v Speaker 6>being around there that I was taught to upkeep. And

0:51:06.400 --> 0:51:08.719
<v Speaker 6>I think the goal is just sort of curating that,

0:51:08.800 --> 0:51:12.880
<v Speaker 6>bringing the restaurants into the next stage of their lives.

0:51:12.880 --> 0:51:15.040
<v Speaker 6>You know, their restaurants that have been around for thirty

0:51:15.040 --> 0:51:17.040
<v Speaker 6>three years. You can't throw a stick of dynamite in

0:51:17.040 --> 0:51:19.160
<v Speaker 6>the room and cover the years and just let the place,

0:51:19.239 --> 0:51:22.799
<v Speaker 6>you know, change totally. But you know, I don't know

0:51:22.880 --> 0:51:27.160
<v Speaker 6>if I focus enough personally on differentiating myself. I think

0:51:27.280 --> 0:51:30.719
<v Speaker 6>it's a lot more of you know, paying homage well,

0:51:30.760 --> 0:51:34.040
<v Speaker 6>trying to sort of push push things in a new

0:51:34.200 --> 0:51:35.000
<v Speaker 6>contemporary direction.

0:51:35.280 --> 0:51:39.520
<v Speaker 2>Let's talk about the flagship in New Orleans. Emeralds all

0:51:39.520 --> 0:51:43.279
<v Speaker 2>started there what some three decades and counting three decades ago,

0:51:43.400 --> 0:51:46.360
<v Speaker 2>massive renovations, But you say, how you are sticking true

0:51:46.440 --> 0:51:50.000
<v Speaker 2>to your dad and his legacy in terms of food,

0:51:50.040 --> 0:51:52.280
<v Speaker 2>but there are new tasting menus and you are shaking

0:51:52.280 --> 0:51:54.760
<v Speaker 2>it up a bit. Talk to us about the reboot.

0:51:55.400 --> 0:51:57.520
<v Speaker 6>I mean, it's been it's been really great fun. I've

0:51:57.520 --> 0:52:00.160
<v Speaker 6>got a fantastic team at the restaurant. I'd say it's

0:52:00.160 --> 0:52:02.759
<v Speaker 6>probably split fifty to fifty New Orleanians to people that

0:52:02.800 --> 0:52:05.080
<v Speaker 6>are from around the country as well some people that

0:52:05.120 --> 0:52:07.640
<v Speaker 6>I worked with beforehand that have now come and joined us,

0:52:07.640 --> 0:52:11.120
<v Speaker 6>which has been a real pleasure and an honor. But

0:52:11.280 --> 0:52:13.680
<v Speaker 6>you know, I think the fun thing is now Emeralds

0:52:13.680 --> 0:52:15.319
<v Speaker 6>always had a tasting menu. There was the Ala Kart

0:52:15.360 --> 0:52:17.120
<v Speaker 6>menu in the tasting menu. It was always I mean,

0:52:17.400 --> 0:52:20.040
<v Speaker 6>I've heard stories of you know, Chef Charlie Trotter and

0:52:20.040 --> 0:52:21.759
<v Speaker 6>my dad back in the day, like faxing each other

0:52:21.880 --> 0:52:23.920
<v Speaker 6>tasting menus back and forth and things like that. All

0:52:23.960 --> 0:52:27.560
<v Speaker 6>the great stories you hear, and you know, so we've

0:52:27.560 --> 0:52:29.279
<v Speaker 6>always had a tasting menu, and so I think that

0:52:29.320 --> 0:52:31.560
<v Speaker 6>when I decided to do two tasting menus, it's a

0:52:31.560 --> 0:52:33.920
<v Speaker 6>classic menu and a seasonal menu. It's my take on

0:52:34.040 --> 0:52:35.960
<v Speaker 6>sort of like the Greatest Hits album, if you will,

0:52:36.000 --> 0:52:39.600
<v Speaker 6>with the classics menu and then with the seasonal stuff,

0:52:39.600 --> 0:52:43.040
<v Speaker 6>we're really pushing something that my dad was super proud

0:52:43.080 --> 0:52:47.200
<v Speaker 6>of a long time ago, which was the seasonality of

0:52:47.200 --> 0:52:49.520
<v Speaker 6>the produce in Louisiana. You know, we're blessed being in

0:52:49.520 --> 0:52:51.880
<v Speaker 6>the Gulf of Mexico and the Gulf South region to

0:52:51.880 --> 0:52:53.600
<v Speaker 6>be able to have some of the most incredible seafood,

0:52:54.160 --> 0:52:57.200
<v Speaker 6>I think personally in the world. And so it's a

0:52:57.239 --> 0:52:59.719
<v Speaker 6>high utilization of that. It's a lot of local veg

0:53:00.040 --> 0:53:02.880
<v Speaker 6>local produce that's coming from independent farmers and things. And

0:53:04.000 --> 0:53:05.680
<v Speaker 6>you know, my dad did a lot of that, and

0:53:05.719 --> 0:53:07.640
<v Speaker 6>I hear a lot of the stories of him from

0:53:07.760 --> 0:53:10.120
<v Speaker 6>purveyors that are, you know, in their fifties and their

0:53:10.160 --> 0:53:12.520
<v Speaker 6>forties and their sixties that are telling me, hey, I

0:53:12.560 --> 0:53:14.920
<v Speaker 6>remember when your dad came to New Orleans and he

0:53:14.960 --> 0:53:17.080
<v Speaker 6>did this, this, this, and this and this that and

0:53:17.160 --> 0:53:19.840
<v Speaker 6>the other. And I think getting to hear those stories,

0:53:19.840 --> 0:53:23.160
<v Speaker 6>it's quite fun. And you know, I say to myself,

0:53:23.160 --> 0:53:24.279
<v Speaker 6>I said it to my dad the other day, this

0:53:24.480 --> 0:53:26.080
<v Speaker 6>when we opened the restaurant. I said, this must have

0:53:26.120 --> 0:53:28.239
<v Speaker 6>been what it felt like when you when you open

0:53:28.280 --> 0:53:30.480
<v Speaker 6>the restaurant, because it was just like, I mean, knew

0:53:30.560 --> 0:53:32.680
<v Speaker 6>it was just I think, you know, the opening day,

0:53:32.680 --> 0:53:35.080
<v Speaker 6>we didn't open until five pm for dinner service, and

0:53:35.120 --> 0:53:36.680
<v Speaker 6>I think I showed up at five am just because

0:53:36.680 --> 0:53:38.240
<v Speaker 6>I couldn't sleep. I was so excited.

0:53:38.719 --> 0:53:41.440
<v Speaker 2>You know, Well, why do you ask your dad about

0:53:41.480 --> 0:53:42.319
<v Speaker 2>the business?

0:53:43.080 --> 0:53:44.719
<v Speaker 6>I mean I call him from anything from you know,

0:53:44.840 --> 0:53:47.880
<v Speaker 6>shrimp stock tips to to you know, how we're going

0:53:47.920 --> 0:53:49.640
<v Speaker 6>to get labor down this month. It just depends on

0:53:50.080 --> 0:53:52.959
<v Speaker 6>sort of really you know, what's needed at the moment.

0:53:53.080 --> 0:53:55.480
<v Speaker 6>He's a wealth of knowledge. I've understood that since I

0:53:55.600 --> 0:53:58.799
<v Speaker 6>was little. His friends are wealth of knowledge and being

0:53:58.840 --> 0:54:01.319
<v Speaker 6>able to have the relationship. I mean, that is the

0:54:01.400 --> 0:54:03.160
<v Speaker 6>leg up that I have is that I'm able to

0:54:03.560 --> 0:54:06.200
<v Speaker 6>contact people and really ask their advice on things that

0:54:06.200 --> 0:54:08.560
<v Speaker 6>I couldn't even dream of knowing the answer to. So

0:54:09.480 --> 0:54:10.880
<v Speaker 6>that's a great benefit to me.

0:54:11.200 --> 0:54:13.759
<v Speaker 3>That's e J Legasi, chef in Restaurant Tour and of

0:54:13.800 --> 0:54:16.440
<v Speaker 3>course the son of Emerald Legasi. More of our conversation

0:54:16.480 --> 0:54:18.680
<v Speaker 3>with Ej is available on our podcast feed.

0:54:18.840 --> 0:54:20.400
<v Speaker 2>Just twenty years old, isn't that crazy?

0:54:20.520 --> 0:54:20.719
<v Speaker 1>Yeah?

0:54:20.800 --> 0:54:23.640
<v Speaker 3>I mean I don't. Yeah, he's like and he's done

0:54:23.680 --> 0:54:25.640
<v Speaker 3>with culinary school and already has a restaurant.

0:54:26.320 --> 0:54:29.000
<v Speaker 2>Oh my God, all right, still to come on Blueberg

0:54:29.000 --> 0:54:30.840
<v Speaker 2>Business Week. Whether it's a cup of coffee in the

0:54:30.880 --> 0:54:33.560
<v Speaker 2>morning or an espresso after a great meal, one name

0:54:33.600 --> 0:54:35.640
<v Speaker 2>has managed to become synonymous with both.

0:54:36.000 --> 0:54:38.960
<v Speaker 3>Eally, the chairman of the ninety year old family run business,

0:54:39.000 --> 0:54:42.680
<v Speaker 3>breaks down the massive global market. Next, this is Bloomberg.

0:54:43.719 --> 0:54:47.279
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:54:47.320 --> 0:54:51.360
<v Speaker 1>live weekday afternoons from three to six Easter on Bloomberg Radio,

0:54:51.560 --> 0:54:54.840
<v Speaker 1>the Bloomberg Business app and YouTube. You can also listen

0:54:54.920 --> 0:54:58.040
<v Speaker 1>live on Amazon Alexa from our flagship New York station.

0:54:58.480 --> 0:55:01.280
<v Speaker 1>Just say Alexa to play Bloomberg eleven thirty.

0:55:02.760 --> 0:55:04.680
<v Speaker 2>Well, we've been talking a lot about food on this

0:55:04.719 --> 0:55:07.240
<v Speaker 2>holiday week, and we also have to acknowledge a favorite

0:55:07.239 --> 0:55:10.080
<v Speaker 2>beverage for hundreds of millions of people around the world. No,

0:55:10.239 --> 0:55:13.800
<v Speaker 2>we're not talking about beer or wine. We're talking about coffee,

0:55:14.080 --> 0:55:15.760
<v Speaker 2>and I think it's safe to say. Our next guest

0:55:15.840 --> 0:55:18.840
<v Speaker 2>is an expert on the subject.

0:55:18.320 --> 0:55:21.800
<v Speaker 3>Elie Cafe chairman Andrea Eely, the grandson of Eli, founder

0:55:21.840 --> 0:55:25.359
<v Speaker 3>of Francesco Ely, who started the coffee company ninety years

0:55:25.360 --> 0:55:27.359
<v Speaker 3>ago in Italy. By the way, if you had any

0:55:27.360 --> 0:55:30.440
<v Speaker 3>sort of espresso drink today. You can thank Andrea's grandfather

0:55:30.480 --> 0:55:33.000
<v Speaker 3>because he invented the steam driven coffee maker that we

0:55:33.080 --> 0:55:35.480
<v Speaker 3>now know as espresso machines.

0:55:35.719 --> 0:55:37.640
<v Speaker 2>What was it like growing up with that history.

0:55:38.040 --> 0:55:41.040
<v Speaker 9>Oh, I felt it was coffee was at the center

0:55:41.120 --> 0:55:45.040
<v Speaker 9>of the universe because my father, as I am, was

0:55:45.080 --> 0:55:49.560
<v Speaker 9>a chemist, always thinking and talking about coffee, and he

0:55:49.680 --> 0:55:52.960
<v Speaker 9>started drinking coffee, sipping, let's say, coffee, when I was

0:55:53.000 --> 0:55:57.200
<v Speaker 9>two and a half years old, and since then always coffee, coffee, coffee.

0:55:56.920 --> 0:55:58.160
<v Speaker 2>Cofee, always coffee cofee.

0:55:58.719 --> 0:56:01.520
<v Speaker 3>So there's no it's not too two is not too

0:56:01.560 --> 0:56:02.600
<v Speaker 3>young to drink coffee.

0:56:02.760 --> 0:56:07.320
<v Speaker 9>No, it was just sipping, you know, admiring my mother,

0:56:08.120 --> 0:56:10.960
<v Speaker 9>you know, trying to prepare express with these little tiny

0:56:11.000 --> 0:56:14.920
<v Speaker 9>express machines at home at the time, no capsules that

0:56:14.960 --> 0:56:20.200
<v Speaker 9>were still existing, because we started the very first capsule

0:56:20.280 --> 0:56:24.279
<v Speaker 9>portion fifteen years later than that, in order to you know,

0:56:24.440 --> 0:56:29.719
<v Speaker 9>make it easier to produce coffee everywhere in the restaurants

0:56:29.840 --> 0:56:33.760
<v Speaker 9>or offices or home. But before that it was quite difficult.

0:56:33.800 --> 0:56:36.160
<v Speaker 9>You needed to be a trained barista. But in this

0:56:36.280 --> 0:56:38.200
<v Speaker 9>case you need to have a cumber zomee, a big

0:56:38.239 --> 0:56:41.400
<v Speaker 9>machine at home was very difficult, so and my father

0:56:41.760 --> 0:56:46.279
<v Speaker 9>I nicknamed her the Engineer of Coffee, you know, was

0:56:46.280 --> 0:56:53.279
<v Speaker 9>a precursor to this, you know, expertise in home express

0:56:53.320 --> 0:56:53.800
<v Speaker 9>of brewing.

0:56:54.600 --> 0:56:57.400
<v Speaker 2>So Andrea, how comes is there's so many bad cups

0:56:57.400 --> 0:57:00.000
<v Speaker 2>of coffee out there? What makes a great cup of coffee?

0:57:00.840 --> 0:57:05.520
<v Speaker 9>Well, you need good beans, first of all, and it's

0:57:05.560 --> 0:57:09.799
<v Speaker 9>difficult to access them, just to tell you. In order

0:57:10.200 --> 0:57:14.560
<v Speaker 9>to access to good beans with this pioneer the direct

0:57:15.600 --> 0:57:19.080
<v Speaker 9>in nineteen ninety one, so we did organize ourselves to

0:57:19.120 --> 0:57:22.960
<v Speaker 9>go direct, working hand in hand with coffee growers. And

0:57:23.040 --> 0:57:27.320
<v Speaker 9>the second major step has been creating the University of

0:57:27.400 --> 0:57:30.960
<v Speaker 9>Coffee in order to transfer knowledge to them how to

0:57:31.000 --> 0:57:36.600
<v Speaker 9>elevate their agronomical practices for better sustainable quality. And this

0:57:36.800 --> 0:57:40.520
<v Speaker 9>is the reason why we had this award that we

0:57:40.520 --> 0:57:43.480
<v Speaker 9>are giving tomorrow to the best growers of the nine

0:57:44.040 --> 0:57:48.960
<v Speaker 9>let's say origins where we sous coffee from. But producing

0:57:49.840 --> 0:57:54.880
<v Speaker 9>high quality coffee is not an easy job. So direct Trading,

0:57:55.120 --> 0:57:59.000
<v Speaker 9>University of Coffee Electronics sorting out every single beam. This

0:57:59.160 --> 0:58:03.680
<v Speaker 9>has been one of our patents, sorting every single bean,

0:58:03.760 --> 0:58:07.440
<v Speaker 9>because one defective bean can spoil up to one keylo

0:58:07.440 --> 0:58:10.479
<v Speaker 9>of coffee. You know, this is an amazing. Let's say

0:58:11.240 --> 0:58:13.760
<v Speaker 9>science behind and this is the reason why I'm second

0:58:13.760 --> 0:58:17.400
<v Speaker 9>generation scientist, a chemist for coffee.

0:58:17.440 --> 0:58:18.320
<v Speaker 7>For coffee quality.

0:58:18.360 --> 0:58:19.960
<v Speaker 3>How often do you find a bad being that could

0:58:20.040 --> 0:58:21.800
<v Speaker 3>spoil an entire kilo of coffee?

0:58:21.840 --> 0:58:21.880
<v Speaker 6>Like?

0:58:21.960 --> 0:58:25.160
<v Speaker 3>How how what is the rate of a bad being

0:58:25.200 --> 0:58:25.880
<v Speaker 3>within a badge?

0:58:25.920 --> 0:58:29.720
<v Speaker 9>So at the time we started sorting, it was maybe

0:58:29.800 --> 0:58:34.920
<v Speaker 9>two three percent. Now is less than half a percent. Also,

0:58:34.960 --> 0:58:39.640
<v Speaker 9>because in the meantime we did improve substantially agronomical practices,

0:58:40.880 --> 0:58:44.680
<v Speaker 9>some of these defective beans could be invisible because maybe

0:58:44.720 --> 0:58:48.000
<v Speaker 9>they have some off flavors that you cannot that you

0:58:48.040 --> 0:58:51.520
<v Speaker 9>cannot find, So it can still happen. But if everything

0:58:51.600 --> 0:58:55.240
<v Speaker 9>is well processed, then you can prevent that. But this

0:58:55.400 --> 0:58:57.680
<v Speaker 9>is not the standard in the industry because the coffee

0:58:57.760 --> 0:59:03.080
<v Speaker 9>coffee growers produce for us are specifically produced for us.

0:59:03.280 --> 0:59:08.520
<v Speaker 9>We buy coffee upon our own standards. Coffee rollers like

0:59:08.680 --> 0:59:12.400
<v Speaker 9>to joke about it. Eli coffee doesn't exist because it

0:59:12.440 --> 0:59:15.880
<v Speaker 9>doesn't correspond to any official market standard. And this is

0:59:15.920 --> 0:59:18.800
<v Speaker 9>the reason why we also pay a substantial premium for that,

0:59:19.320 --> 0:59:23.200
<v Speaker 9>because on average we pay thirty percent premium on top

0:59:23.240 --> 0:59:28.200
<v Speaker 9>of the best highest coffee prices in order to motivate

0:59:28.280 --> 0:59:32.040
<v Speaker 9>them and reward them for the extra effort for producing

0:59:32.760 --> 0:59:33.760
<v Speaker 9>superior quality.

0:59:34.480 --> 0:59:37.960
<v Speaker 2>Is it harder to grow better coffee beans?

0:59:38.600 --> 0:59:42.120
<v Speaker 9>It is harder. You need the right people. This is

0:59:42.160 --> 0:59:46.240
<v Speaker 9>why direct sourcing because we need to really get access

0:59:46.320 --> 0:59:51.880
<v Speaker 9>to the people who are, let's say, philosophically seeking the

0:59:51.920 --> 0:59:56.040
<v Speaker 9>best in life. No matter how rich or how educated

0:59:56.080 --> 0:59:58.400
<v Speaker 9>they are, there are some people like that. You need

0:59:58.480 --> 1:00:01.880
<v Speaker 9>to find the perfect ecosystem. Yeah, you know, weather, soil,

1:00:02.200 --> 1:00:04.360
<v Speaker 9>like the turire, they.

1:00:04.400 --> 1:00:06.920
<v Speaker 2>Tie the I feel like I'm talking about wine.

1:00:06.880 --> 1:00:12.000
<v Speaker 9>Exactly exactly the same. You need to find the right cultivar,

1:00:12.120 --> 1:00:15.240
<v Speaker 9>so the right plant, and finally you need those people

1:00:15.280 --> 1:00:19.919
<v Speaker 9>to process coffee in a way which is perfect. So yes,

1:00:20.000 --> 1:00:20.760
<v Speaker 9>it takes quite an.

1:00:20.720 --> 1:00:24.000
<v Speaker 2>Effort and increasingly sustainable, which when you talk about standards.

1:00:24.000 --> 1:00:25.760
<v Speaker 2>I want to talk a little bit about this award

1:00:25.840 --> 1:00:28.600
<v Speaker 2>that is being given at the United Nations, the unesto

1:00:28.760 --> 1:00:33.760
<v Speaker 2>ELI International Coffee Award. It is to the individual, the

1:00:33.840 --> 1:00:38.360
<v Speaker 2>farmer that produce the most sustainable coffee. And what's interesting

1:00:38.400 --> 1:00:40.560
<v Speaker 2>is that we're having this conversation. I've talked with the

1:00:40.560 --> 1:00:43.040
<v Speaker 2>folks over at ab and BEV like they understand the

1:00:43.080 --> 1:00:46.760
<v Speaker 2>importance of water, like their business will not continue unless

1:00:46.800 --> 1:00:50.280
<v Speaker 2>they have great access to water and other things. Obviously

1:00:50.320 --> 1:00:53.440
<v Speaker 2>crops that go into beverages. Same thing for you guys,

1:00:53.520 --> 1:00:56.480
<v Speaker 2>right in terms of the impact on the environment, Yes,

1:00:56.560 --> 1:00:59.440
<v Speaker 2>your businesses, you need to make sure it's done in

1:00:59.440 --> 1:01:00.520
<v Speaker 2>a sustainable so.

1:01:00.840 --> 1:01:04.600
<v Speaker 9>Yes, the award is for the lest sustainable quality. So

1:01:04.840 --> 1:01:09.280
<v Speaker 9>in the company was born ninety years ago upon my

1:01:09.360 --> 1:01:13.680
<v Speaker 9>grandfather dreamed to offer the greatest coffee, and so as

1:01:13.720 --> 1:01:17.000
<v Speaker 9>a strategy we decided to have only one because the

1:01:17.040 --> 1:01:19.560
<v Speaker 9>greatest can be only one, right, and of course the

1:01:19.560 --> 1:01:23.800
<v Speaker 9>greatest need only need must only not only be the

1:01:23.840 --> 1:01:26.840
<v Speaker 9>best in taste, but also the best in how it

1:01:26.920 --> 1:01:30.920
<v Speaker 9>is produced. Actually, as a matter of fact, sustainability and

1:01:31.080 --> 1:01:33.919
<v Speaker 9>quality are two phases of the same coin. You don't

1:01:33.960 --> 1:01:34.720
<v Speaker 9>have the one.

1:01:34.520 --> 1:01:35.360
<v Speaker 7>Without the others.

1:01:35.600 --> 1:01:39.800
<v Speaker 9>So it's not difficult for us to kind of, let's say,

1:01:39.920 --> 1:01:46.760
<v Speaker 9>find find a way. And this award, this blend that

1:01:46.400 --> 1:01:51.600
<v Speaker 9>we produce is made of nine origins because each origin

1:01:51.680 --> 1:01:55.080
<v Speaker 9>has a different aroma profile. It's like having a nice orchestra,

1:01:55.400 --> 1:01:58.760
<v Speaker 9>and the more instruments you have, the richest the orchestra. Okay,

1:01:59.000 --> 1:02:03.200
<v Speaker 9>so nine and the three best growers of each of

1:02:03.240 --> 1:02:07.240
<v Speaker 9>the nine origins are awarded tomorrow at the United Nations,

1:02:07.280 --> 1:02:09.640
<v Speaker 9>so they would know who's the first, second, and third

1:02:10.560 --> 1:02:15.720
<v Speaker 9>and go back home with extreme satisfaction and being completely

1:02:15.720 --> 1:02:21.000
<v Speaker 9>boosted motivation wise, etc. Which is also helping them to

1:02:21.080 --> 1:02:23.000
<v Speaker 9>sell the rest of the coffee. They don't sell too

1:02:23.040 --> 1:02:26.400
<v Speaker 9>early to the rest of the market at premiums. So

1:02:27.640 --> 1:02:30.720
<v Speaker 9>the company ily Cafe has been a knowledge in many

1:02:30.760 --> 1:02:36.120
<v Speaker 9>countries for having contributed to transform the coffee industry in

1:02:36.160 --> 1:02:41.480
<v Speaker 9>a let's say, more sustainable way, and this is we

1:02:41.560 --> 1:02:42.360
<v Speaker 9>are very proud of.

1:02:42.840 --> 1:02:45.960
<v Speaker 2>I want to get to climate change and the impact

1:02:46.040 --> 1:02:49.960
<v Speaker 2>it has had on farmers who grow coffee beings.

1:02:50.960 --> 1:02:55.440
<v Speaker 9>Yeah, coffee growing, coffee agriculture is very very sensitive to

1:02:55.480 --> 1:03:00.000
<v Speaker 9>climate conditions. Do you have narrow conditions to grow coffee

1:03:00.000 --> 1:03:05.080
<v Speaker 9>in terms of temperature and rain? And as a consequence

1:03:05.120 --> 1:03:08.440
<v Speaker 9>of climate change, up to fifty percent of the currently

1:03:08.520 --> 1:03:12.760
<v Speaker 9>suitable land will be gone by twenty fifty. Already there

1:03:12.760 --> 1:03:15.560
<v Speaker 9>are some countries which are gradually exiting the market. There's

1:03:15.560 --> 1:03:19.240
<v Speaker 9>a consequence of climate change, so we have to adapt

1:03:19.560 --> 1:03:23.160
<v Speaker 9>as quickly as possible. And in order to adapt, there

1:03:23.200 --> 1:03:28.520
<v Speaker 9>are three sequential actions to be done. First, improving the

1:03:28.520 --> 1:03:35.200
<v Speaker 9>agronomical practices transitioning regenerative agriculture seems to be the most promising.

1:03:35.200 --> 1:03:41.880
<v Speaker 9>One second most important move is rejuvenating the plantation themselves

1:03:41.920 --> 1:03:47.720
<v Speaker 9>with younger plants, but also plants made of new varieties

1:03:47.760 --> 1:03:52.120
<v Speaker 9>which are more resistant to the adverse conditions caused by

1:03:52.120 --> 1:03:56.480
<v Speaker 9>climate change. And only if these to first initiatives are

1:03:56.560 --> 1:04:00.680
<v Speaker 9>not enough, then you can consider moving by grating the

1:04:00.760 --> 1:04:06.439
<v Speaker 9>plantation too higher latitudes or higher altitudes where you can

1:04:06.520 --> 1:04:08.840
<v Speaker 9>meet at milder climates.

1:04:09.200 --> 1:04:12.840
<v Speaker 3>That's Elie Cafe chairman Andrea Eely. He also told us

1:04:12.880 --> 1:04:15.439
<v Speaker 3>the company is still eyeing an IPO in twenty twenty six,

1:04:15.520 --> 1:04:17.400
<v Speaker 3>so we'll certainly be on the lookout for that.

1:04:17.760 --> 1:04:20.040
<v Speaker 2>You're listening to Bloomberg Business Week. Coming up, we wrap

1:04:20.120 --> 1:04:23.800
<v Speaker 2>up with the sobering reality facing food manufacturers and retailers.

1:04:24.080 --> 1:04:27.800
<v Speaker 3>Millions of Americans are now taking appetite suppressing drugs, and

1:04:27.880 --> 1:04:31.240
<v Speaker 3>that's whang on the bottom line. This is Bloomberg.

1:04:31.400 --> 1:04:34.960
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

1:04:35.000 --> 1:04:38.360
<v Speaker 1>live weekday afternoons from three to six Eastern Listen on

1:04:38.400 --> 1:04:42.440
<v Speaker 1>Bloomberg dot com, the iHeartRadio app, and the Bloomberg Business app,

1:04:42.720 --> 1:04:44.520
<v Speaker 1>or watch us live on YouTube.

1:04:45.680 --> 1:04:48.720
<v Speaker 2>Winding down on this post Thanksgiving edition of Bloomberg Business Week,

1:04:48.920 --> 1:04:51.520
<v Speaker 2>our magazine team has a store that adds some irony

1:04:51.600 --> 1:04:54.200
<v Speaker 2>to a holiday known for high levels of food consumption.

1:04:54.760 --> 1:04:58.800
<v Speaker 2>Americans are eating less these days, actually a lot less.

1:04:59.040 --> 1:05:02.320
<v Speaker 3>Prescriptions for US of drugs known as GLP one agonists

1:05:02.400 --> 1:05:06.120
<v Speaker 3>such as ozempic and wegovy quadrupled from twenty twenty to

1:05:06.160 --> 1:05:08.760
<v Speaker 3>twenty twenty two, and it looks like there's plenty more

1:05:08.760 --> 1:05:11.640
<v Speaker 3>growth ahead for these pharmaceuticals in the US as drug

1:05:11.720 --> 1:05:15.600
<v Speaker 3>maker search for even more clinical uses. Blueberg News consumer

1:05:15.640 --> 1:05:17.640
<v Speaker 3>reporter Dina Shanker has more.

1:05:17.760 --> 1:05:21.760
<v Speaker 11>Millions of Americans now are taking these drugs. They are

1:05:21.880 --> 1:05:26.240
<v Speaker 11>up three hundred percent. They are just getting really really

1:05:26.280 --> 1:05:27.960
<v Speaker 11>popular for a lot of people.

1:05:28.200 --> 1:05:31.000
<v Speaker 2>It's like off the charts. It's pretty wild. I've seen

1:05:31.040 --> 1:05:33.360
<v Speaker 2>it firsthand with people who are using it or taking it,

1:05:33.400 --> 1:05:36.320
<v Speaker 2>and it really does reduce their appetite in a big,

1:05:36.360 --> 1:05:39.000
<v Speaker 2>big way. They're just not hungry. So I think about

1:05:39.200 --> 1:05:41.520
<v Speaker 2>the impact of that. Talked about some of the specific

1:05:41.560 --> 1:05:42.320
<v Speaker 2>people you talk to.

1:05:42.720 --> 1:05:46.640
<v Speaker 11>So I spoke to four different people that are currently

1:05:47.000 --> 1:05:51.360
<v Speaker 11>taking the drugs, and everyone was really happy with the

1:05:51.840 --> 1:05:55.160
<v Speaker 11>changes in their life and especially what it meant for Thanksgiving.

1:05:55.560 --> 1:05:58.440
<v Speaker 11>One woman I spoke to talked about not just for herself,

1:05:58.480 --> 1:06:01.200
<v Speaker 11>but also her children'een and twenty one years.

1:06:01.080 --> 1:06:04.200
<v Speaker 2>Old, who have been taking these drugs.

1:06:03.760 --> 1:06:07.520
<v Speaker 11>And they have just seen not just great weight loss results,

1:06:07.520 --> 1:06:10.720
<v Speaker 11>which I know everybody wants when they're taking them, but.

1:06:10.920 --> 1:06:13.080
<v Speaker 2>They're also just looking at their food differently.

1:06:13.200 --> 1:06:16.120
<v Speaker 11>They're open to her kids are open to eating things

1:06:16.120 --> 1:06:17.400
<v Speaker 11>that they weren't eating before.

1:06:18.040 --> 1:06:18.600
<v Speaker 8>She was so.

1:06:18.520 --> 1:06:20.680
<v Speaker 11>Excited about how now she gets to add more fruits

1:06:20.680 --> 1:06:24.360
<v Speaker 11>and vegetables to the table. And everyone I spoke to

1:06:24.520 --> 1:06:28.600
<v Speaker 11>is thinking about the holiday differently. Another woman I spoke

1:06:28.640 --> 1:06:31.560
<v Speaker 11>with for Thanksgiving, she said she used to spend weeks

1:06:31.600 --> 1:06:34.280
<v Speaker 11>in advance, you know, looking for the best recipes as

1:06:34.280 --> 1:06:36.600
<v Speaker 11>she got her menu ready. But one of the things

1:06:36.600 --> 1:06:38.960
<v Speaker 11>that these drugs do is they turn off the food noise,

1:06:39.000 --> 1:06:40.880
<v Speaker 11>as it's called, so you're just not thinking about the

1:06:40.920 --> 1:06:43.440
<v Speaker 11>food all the time. So she's like, I'll do She's

1:06:43.480 --> 1:06:45.520
<v Speaker 11>still going to make everything, and she's actually even skipping

1:06:45.520 --> 1:06:48.680
<v Speaker 11>her shot so that she can enjoy yourself a bit more.

1:06:49.040 --> 1:06:51.480
<v Speaker 11>But she's just not thinking about food all the time.

1:06:51.600 --> 1:06:54.520
<v Speaker 3>That's so interesting. I just want to cut you off here.

1:06:54.640 --> 1:06:56.480
<v Speaker 3>Dina what you skipping her shot? What do you mean

1:06:56.520 --> 1:06:58.760
<v Speaker 3>by that? Because these are monthly injections, right.

1:06:58.640 --> 1:07:00.000
<v Speaker 5>Weekly, I believe weekly?

1:07:00.080 --> 1:07:01.520
<v Speaker 11>Okay, skipping this week?

1:07:01.680 --> 1:07:05.280
<v Speaker 3>So she's skipping this week, So that means she's sounds great?

1:07:05.360 --> 1:07:05.600
<v Speaker 1>Is that?

1:07:05.640 --> 1:07:08.160
<v Speaker 3>But is that? I mean, I know you're not a doctor,

1:07:08.320 --> 1:07:10.800
<v Speaker 3>we're not doctors here, but is that? Is that how

1:07:10.880 --> 1:07:11.600
<v Speaker 3>the shot works?

1:07:11.880 --> 1:07:14.120
<v Speaker 11>She thinks it's going to work for her that way?

1:07:14.320 --> 1:07:18.240
<v Speaker 11>I don't know that doctors would advise people to do this.

1:07:18.560 --> 1:07:22.440
<v Speaker 11>But one of the interesting things about these shots and

1:07:22.480 --> 1:07:26.000
<v Speaker 11>about these drugs is that they were initially actually, you know,

1:07:26.080 --> 1:07:28.440
<v Speaker 11>not for weight loss. They were for diabetes, and so

1:07:29.000 --> 1:07:31.880
<v Speaker 11>a lot of the uses of them are off label,

1:07:32.000 --> 1:07:34.480
<v Speaker 11>so because they're being used as a weight loss drug

1:07:34.720 --> 1:07:38.800
<v Speaker 11>instead of as a as a diabetes drug. So I

1:07:38.840 --> 1:07:42.160
<v Speaker 11>think what we're seeing both with the people using them

1:07:42.360 --> 1:07:45.600
<v Speaker 11>and at the clinical level is a lot of they're

1:07:45.640 --> 1:07:48.080
<v Speaker 11>still studying it. They're still trying to find out all

1:07:48.120 --> 1:07:51.480
<v Speaker 11>the different things that these drugs can do. So for

1:07:51.560 --> 1:07:56.640
<v Speaker 11>some people they have just been incredible weight loss miracle drugs,

1:07:56.680 --> 1:07:59.680
<v Speaker 11>as they describe them. But I should add that one

1:07:59.680 --> 1:08:03.480
<v Speaker 11>of the health professionals I spoke with, a pharmacist was

1:08:03.720 --> 1:08:06.400
<v Speaker 11>really quick to make sure that we didn't discount the

1:08:06.440 --> 1:08:08.440
<v Speaker 11>work that the patients are doing. That it's not just

1:08:08.480 --> 1:08:11.480
<v Speaker 11>like you take your injection and you're done and you

1:08:11.480 --> 1:08:13.640
<v Speaker 11>never think about food again and the pounds start melting off.

1:08:13.880 --> 1:08:16.000
<v Speaker 11>She was saying how it's really important that people are

1:08:16.080 --> 1:08:20.080
<v Speaker 11>learning how to manage their serving sizes. They're going for

1:08:21.000 --> 1:08:25.040
<v Speaker 11>that walk after dinner, they're sticking it out through. Sometimes

1:08:25.040 --> 1:08:29.719
<v Speaker 11>people experience really bad side effects like nausea, and they

1:08:29.880 --> 1:08:33.280
<v Speaker 11>are really taking advantage of the benefits of the drug,

1:08:33.360 --> 1:08:35.280
<v Speaker 11>but they're not completely relying on the drug.

1:08:35.439 --> 1:08:38.400
<v Speaker 3>That was Bloomberg News consumer reporter Dina Shanker. Check out

1:08:38.439 --> 1:08:40.640
<v Speaker 3>her story online at Bloomberg dot com or on the

1:08:40.680 --> 1:08:41.599
<v Speaker 3>Bloomberg terminal.

1:08:41.640 --> 1:08:44.519
<v Speaker 2>And that wraps up this weekend holiday edition a Bloomberg

1:08:44.520 --> 1:08:46.840
<v Speaker 2>Business Week from Bloomberg Radio. Thank you so much for

1:08:46.920 --> 1:08:47.439
<v Speaker 2>joining us.

1:08:47.600 --> 1:08:49.920
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<v Speaker 3>of the magazine is available on newsstands now at Bloomberg

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<v Speaker 3>dot com and always on the Bloomberg Terminal. I'm Tim

1:09:20.520 --> 1:09:21.360
<v Speaker 3>Steneveek Back to.

1:09:21.360 --> 1:09:23.960
<v Speaker 2>The Pie we Go. I'm Carol Masser. Have a good

1:09:23.960 --> 1:09:26.720
<v Speaker 2>and safe rest of your holiday weekend. Stay with us.

1:09:26.720 --> 1:09:29.639
<v Speaker 2>Today's top stories and global business headlines are coming up

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1:09:31.200 --> 1:09:35.880
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