WEBVTT - Ginni Rometty on the Technology Agenda for the US

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<v Speaker 1>These sees Bloomberg Business Week with Carol Messer and Tim

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<v Speaker 1>Stenebeck on Bloomberg Radio. Well, the next guest had, as

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<v Speaker 1>we said earlier at front row seat to five decades

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<v Speaker 1>of technological and social change. It's about eight years as

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<v Speaker 1>CEO of one of the iconic tech firms of the

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<v Speaker 1>past century. We're talking about IBM, and yet, as she

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<v Speaker 1>says in her new book, she's not writing about technology

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<v Speaker 1>or I am, but rather about how we can all

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<v Speaker 1>drive meaningful change in positive ways for all. She calls

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<v Speaker 1>this good power. We are so delighted to have with us.

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<v Speaker 1>The former chairman and CEO of IBM, Jinny Rometti, her

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<v Speaker 1>new book is good Power, leading positive change in our lives,

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<v Speaker 1>work and world. She's here in our Bloomberg Interactive Broker studio,

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<v Speaker 1>Pens and Needles. So delighted to have you here. Congratulations,

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<v Speaker 1>Thank you very much. As big milestone two years in

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<v Speaker 1>the making, right, it's always oh yeah, we never expected

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<v Speaker 1>how hard it would be. That's what everybody says. I

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<v Speaker 1>have to say, and I think Mike and I would

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<v Speaker 1>both agree that when we started reading this, it start.

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<v Speaker 1>It didn't start like I expected it too, And I'm

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<v Speaker 1>sure everybody who talks to you starts there. But it

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<v Speaker 1>is a very personal story, a very real and revealing story.

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<v Speaker 1>Talk to us about your family and your dad leaving. Yes,

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<v Speaker 1>it's one of the many moments I speak of, but

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<v Speaker 1>because I think we're all shaped like, how we lead

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<v Speaker 1>today has a lot to do with what we experienced

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<v Speaker 1>in the past. And I was sixteen when my father

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<v Speaker 1>decided one day that he abandoned my mom and our

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<v Speaker 1>whole family. He didn't realize. I walked into the garage

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<v Speaker 1>and heard him, and I heard him say to her,

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<v Speaker 1>I don't care about you. I don't care about any

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<v Speaker 1>of you. You can go work on the street for

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<v Speaker 1>all I care. And how do you process that as

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<v Speaker 1>a sixteen year old? Well, and you had younger siblings.

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<v Speaker 1>I had younger siblings. Yes, I stood there, and I

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<v Speaker 1>think I reacted because I watched my mom and she

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<v Speaker 1>didn't cry, She turned around, she walked out. Effect I

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<v Speaker 1>never saw a cry. And here she was the as

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<v Speaker 1>I think now, thirty four years old, four kids, never

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<v Speaker 1>worked a day in her life, hadn't gone to college,

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<v Speaker 1>just barely through high school. But she was so determined.

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<v Speaker 1>So what I the reason I start there and the

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<v Speaker 1>only reason I wrote a boo. Do you know you

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<v Speaker 1>were going to start there? No, absolutely did not know that.

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<v Speaker 1>In fact, my collaborator helped me to start there, because

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<v Speaker 1>it's a very vulnerable moment to start. But the reason

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<v Speaker 1>is to celebrate what she did and how she reacted,

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<v Speaker 1>because it's like I saw my grandmother and great grandmother

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<v Speaker 1>both had big tragedies in their life, and I saw

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<v Speaker 1>that she had power to change something when she had

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<v Speaker 1>nothing else. And that's kind of the premise of the book,

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<v Speaker 1>that we all have more than we think. And she

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<v Speaker 1>was like, I'm not going to be a divorce, I'm

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<v Speaker 1>not going to be someone on food stamps. I'm not

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<v Speaker 1>going to let it end this way. And she got

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<v Speaker 1>a little bit of education, a little bit of education,

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<v Speaker 1>a better job, a little bit better and she never

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<v Speaker 1>did get a degree. But it's the other thing, Well,

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<v Speaker 1>two things I learned she taught us never let anyone

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<v Speaker 1>define who you are, only you are. He was never

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<v Speaker 1>going to define her as those things. And it's so

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<v Speaker 1>easy to go in the other direction. It is very

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<v Speaker 1>easy to be defined as a victim and feel a victim.

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<v Speaker 1>And the second thing was that you know someone's access

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<v Speaker 1>to education in their aptitude are not equal. Meaning my

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<v Speaker 1>mom really wasn't dumb. She's never had access to anything,

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<v Speaker 1>and that would be a silver thread through my whole

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<v Speaker 1>life that I would find to be true about you know,

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<v Speaker 1>how people can get skills and into me. Why I

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<v Speaker 1>work today on this when I think is so unfair

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<v Speaker 1>in this country and it's very solvable. How many jobs

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<v Speaker 1>have been over credential to require a college degree when

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<v Speaker 1>they don't need one, and so many people in this

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<v Speaker 1>country don't have one, especially when you think in a

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<v Speaker 1>tight labor market, maybe things could be done. I'm hoping

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<v Speaker 1>yet absolutely well, Jenny, one of the more touching things

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<v Speaker 1>in the book to me was and you mentioned, you know,

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<v Speaker 1>your mom was embarrassed that on occasions she would have

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<v Speaker 1>to use food stamps and would actually drive to the

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<v Speaker 1>next town over, so no one saw her. Really kind

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<v Speaker 1>of heartwrenching moment in the book. But I wonder, you know,

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<v Speaker 1>having seen the economy from both sides, now, what do

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<v Speaker 1>you think about the social safety net in the US

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<v Speaker 1>right now? Could it be done better? Is there a

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<v Speaker 1>different way, better way to it? I am a believer

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<v Speaker 1>in it right that it's needed and it's needed for

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<v Speaker 1>what I saw with my mom, it's to transition people.

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<v Speaker 1>It's not a permanent thing. And that's to me, what

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<v Speaker 1>can be done better is the transition part, to transition

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<v Speaker 1>you to a better place. That's what it did for us.

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<v Speaker 1>It transitioned us to a better place. She had to

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<v Speaker 1>do it till she didn't have to do it, and

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<v Speaker 1>I really feel accompanying it has to be all these

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<v Speaker 1>things about getting people the skill so they can get

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<v Speaker 1>a decent job. And that was really, you know, what

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<v Speaker 1>my mom fell into. But it's such a I think,

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<v Speaker 1>a very practical I find it. I've had a decade

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<v Speaker 1>of working on this topic that with some skill doesn't

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<v Speaker 1>have to be a degree. We can give people lots

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<v Speaker 1>of new jobs right now. So safety net until you

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<v Speaker 1>get there, all right, So talk to us about getting

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<v Speaker 1>to IBM in nineteen eighty one. My dad was an

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<v Speaker 1>engineer too. You were an engineer, an engineer, open arms

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<v Speaker 1>easy for a woman, Yeah, you know. Okay, So this

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<v Speaker 1>is I'm sorry to have to say that's critical. I

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<v Speaker 1>just meant yes, I'm going to answer that two ways.

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<v Speaker 1>Because tech is not known for obviously for its diversity,

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<v Speaker 1>so I would often be the only woman but my

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<v Speaker 1>first three managers at IBM were women, and so I

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<v Speaker 1>have to just credit it is a company of meritocracy

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<v Speaker 1>and inclusion that goes way back before me. So I

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<v Speaker 1>was really lucky to grow up in a place like

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<v Speaker 1>that that for the most part, although for the times, right,

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<v Speaker 1>I mean, it's all relative. But the only thing I

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<v Speaker 1>remember when I went, I mean, I never won a

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<v Speaker 1>suit before I came home from my interview, as I

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<v Speaker 1>wrote it, took my jacket off, and my husband's like,

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<v Speaker 1>what's on your arm. I'm like, well, it's my first

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<v Speaker 1>suit and that is the price taggion. Still I'm like,

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<v Speaker 1>how gracious they never mentioned it, you know, yeah, absolutely,

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<v Speaker 1>well go ahead, Mike. Oh no, I was gonna say,

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<v Speaker 1>you know, so much has changed in the tech world

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<v Speaker 1>in the last few years, with the trade war and everything.

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<v Speaker 1>And I'm thinking back to a boy it must be

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<v Speaker 1>twenty years ago when Lenovo bought the PC business for IBM.

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<v Speaker 1>I can't help but think that that deal would ever

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<v Speaker 1>go down today. It was in this climate. So how

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<v Speaker 1>do you see all of that going, This whole tension

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<v Speaker 1>over tech between the US and China. Yeah, And if

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<v Speaker 1>I've been to China once, I've been there fifty times

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<v Speaker 1>and over my life, and to me this boils down.

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<v Speaker 1>I've always said in the past, when people talk about

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<v Speaker 1>it is coopetition and competition. I mean, I've really believed

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<v Speaker 1>that the safest world is an interdependent world. That is

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<v Speaker 1>the safest world, and that right now, I've also felt

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<v Speaker 1>the only reason I was ever in China was if

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<v Speaker 1>I could do something better than than the Chinese could

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<v Speaker 1>do it. So, in other words, your only route is

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<v Speaker 1>to out innovate. And so when we think about what

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<v Speaker 1>to do now, I am really happy to see the

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<v Speaker 1>US finally really take under a serious you know, you

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<v Speaker 1>would call it a technology agenda for the country. Right,

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<v Speaker 1>It's been a long time since we've really had one,

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<v Speaker 1>And I go back in time you said, yeah, Unfortunately,

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<v Speaker 1>I've been around it five decades when some of our

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<v Speaker 1>greatest technology innovations all started in the government and then

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<v Speaker 1>we're commercialized by private sector. That was the way it

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<v Speaker 1>was done. So now we finally have a national technology

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<v Speaker 1>agenda and yep, okay, fine, let them go off. Now

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<v Speaker 1>we got to of course protect our intellectual property and

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<v Speaker 1>do it better. And I mean that is to me

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<v Speaker 1>what the focus has to be and of course some

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<v Speaker 1>of the most sophisticated of course, you know, those not

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<v Speaker 1>aligned you don't want to have fall into the wrong hands.

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<v Speaker 1>And so that's how it'll be. But I'd love to

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<v Speaker 1>see it more around both competition and cooperation. But do

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<v Speaker 1>you see, Jenny, that there's a clear division between the

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<v Speaker 1>US and its technology powers in China doing it like

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<v Speaker 1>it's not the globalization that we've been living for so

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<v Speaker 1>long it is. What do I see a difference between

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<v Speaker 1>the two types? Well, just meaning that there's going to

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<v Speaker 1>be not the cooperation yet not as much cooperation, but

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<v Speaker 1>there are things we can cooperate on the environment, okay,

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<v Speaker 1>and technologies around the environment. I think about that. And

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<v Speaker 1>then on the other side, No, we've got to have

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<v Speaker 1>our own race and really be the best in the world.

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<v Speaker 1>So much of the US prosperity has been driven by

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<v Speaker 1>America being the leader in technology right by far across

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<v Speaker 1>any other country, and that's what we have to continue.

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<v Speaker 1>And so, like I said, that's why I'm glad to

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<v Speaker 1>see it. And then so we will continue our out

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<v Speaker 1>innovating part of that. Immigration needs to be part of that. Yes,

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<v Speaker 1>I agree with that. I've always said that you know,

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<v Speaker 1>skills have no passport, and this idea that ideas flow

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<v Speaker 1>without a passport too. And I really believe in an

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<v Speaker 1>essentral part of America actually is that ability to bring

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<v Speaker 1>in skills and be a destination for people who want

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<v Speaker 1>to innovate in a country that has rule of law

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<v Speaker 1>protects ip. I mean, that is what brought people here.

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<v Speaker 1>There are other countries in the world that you see

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<v Speaker 1>when they have focused on that they've blossomed. When they close,

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<v Speaker 1>they don't. So that is a that is a concern.

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<v Speaker 1>Carol Master, Mike Reagan and our Bloomberg Interactor Brokers Studio

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<v Speaker 1>still with us as Jenny Rometti, of course, former chairman

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<v Speaker 1>and CEO of IBM, her new book out, Good Power

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<v Speaker 1>Leading positive change in our lives, work and world. Excuse me,

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<v Speaker 1>good power versus bad power? Yeah, great question. What's the difference?

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<v Speaker 1>To me? The difference is good power does three different

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<v Speaker 1>things versus about how to do hard things in a

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<v Speaker 1>good way, in a good way right now, that would

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<v Speaker 1>mean go toward attension, don't polarize yourself. So in other words,

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<v Speaker 1>I really believe like, embrace tension. That's a good thing,

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<v Speaker 1>do it respectfully and then just celebrate progress not perfection,

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<v Speaker 1>and so much of what it's like my way or

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<v Speaker 1>your way. Okay, I'm like, okay, we're never gonna get

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<v Speaker 1>anywhere if that's the two views we're going to take.

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<v Speaker 1>And so if you do those three things, really practice

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<v Speaker 1>them in like especially tension. I learned to love conflict

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<v Speaker 1>intention because I always knew something better was going to

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<v Speaker 1>come out the other end if I would really go

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<v Speaker 1>into it and listen. And it was. But intention is today,

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<v Speaker 1>I know. But you know what I mean, Like the

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<v Speaker 1>divides and I a conflicting view. It's gotten so ugly,

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<v Speaker 1>so polar. I so I feel like it's its moment

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<v Speaker 1>that that no, with all this division, there is another

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<v Speaker 1>way to go about this, that that brings people together

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<v Speaker 1>and it doesn't divide them. And so that's kind of

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<v Speaker 1>what the book is meant to be. All these little

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<v Speaker 1>tips about that I learned from watching lots of great

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<v Speaker 1>people over the years on how they did that, and

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<v Speaker 1>that you know, you ask young people today, hey, do

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<v Speaker 1>you want to be powerful? They're like, no, no, no,

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<v Speaker 1>I want to solve important problems. And I'm like, irony

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<v Speaker 1>is you're going to need power to do that. And

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<v Speaker 1>so it's how you exercise it. So I actually end

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<v Speaker 1>the book with a handwritten note that it says your

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<v Speaker 1>greatest legacy maybe how you do your work, not what

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<v Speaker 1>you did. You don't, Jinny. When I think back on

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<v Speaker 1>your tenure at IBM, what an amazing transition that company

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<v Speaker 1>made during your time, you know, really moving from a

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<v Speaker 1>hardware primarily business US to services, cloud, everything else. And

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<v Speaker 1>you retired in twenty twenty. But I look at the

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<v Speaker 1>stock price of IBM, and after an awful stock market

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<v Speaker 1>last year, IBM pretty much reached a record high towards

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<v Speaker 1>at the end of twenty twenty. So I feel like

0:10:13.920 --> 0:10:15.880
<v Speaker 1>there's got to be some things you'd want to brag

0:10:15.920 --> 0:10:18.679
<v Speaker 1>about from that from that era, you know, because it

0:10:18.720 --> 0:10:21.840
<v Speaker 1>wasn't easy that. I'm sure you had some fights there

0:10:21.880 --> 0:10:23.880
<v Speaker 1>to make these changes. What do you think the most

0:10:23.880 --> 0:10:27.360
<v Speaker 1>important changes are. What's the sort of top line on

0:10:27.440 --> 0:10:30.040
<v Speaker 1>your resume from from your tenure there that allowed IBM

0:10:30.080 --> 0:10:32.400
<v Speaker 1>to become the company it is. Yeah, I mean what

0:10:32.480 --> 0:10:34.240
<v Speaker 1>I did was give it a foundation for growth. I

0:10:34.280 --> 0:10:36.840
<v Speaker 1>believe in me. The lots of IBM ers worked hard,

0:10:36.840 --> 0:10:38.800
<v Speaker 1>and I think this striking point is it's not just

0:10:39.200 --> 0:10:41.520
<v Speaker 1>what I did. We had to change how we worked,

0:10:41.760 --> 0:10:43.160
<v Speaker 1>and so yes, we had to move into all these

0:10:43.160 --> 0:10:45.560
<v Speaker 1>new areas. That's what everyone talks about hybrid cloud. We

0:10:45.559 --> 0:10:48.480
<v Speaker 1>had to move you know, faster into AI, etc. But

0:10:48.640 --> 0:10:51.960
<v Speaker 1>changing how so that you could work faster, that you

0:10:52.000 --> 0:10:55.720
<v Speaker 1>could consumerize stuff because it's so unfair to say to

0:10:55.720 --> 0:10:58.360
<v Speaker 1>a workforce, you know, hey, run a marathon, but do

0:10:58.400 --> 0:11:01.080
<v Speaker 1>it in hiking boots. I mean, so, I think the

0:11:01.080 --> 0:11:04.560
<v Speaker 1>biggest thing would be around changing how work was done

0:11:04.800 --> 0:11:07.480
<v Speaker 1>and all of our work around diversity and inclusion. We

0:11:07.559 --> 0:11:09.800
<v Speaker 1>had records on all of those. You said the magic

0:11:09.800 --> 0:11:13.000
<v Speaker 1>word there, jinny AI. That's all I was waiting for

0:11:13.080 --> 0:11:15.280
<v Speaker 1>you to talk about right now. So how do you

0:11:15.360 --> 0:11:19.400
<v Speaker 1>see this all playing out? Chat GBT yah, Google's efforts, IBM,

0:11:19.600 --> 0:11:21.840
<v Speaker 1>where's it all going? Well, look, I am a big

0:11:21.840 --> 0:11:24.280
<v Speaker 1>believer in AI, but I have always believed it would

0:11:24.320 --> 0:11:27.679
<v Speaker 1>make men better man humanity. Yeah, and that you've got

0:11:27.679 --> 0:11:29.000
<v Speaker 1>to think of it that way. I've been at this

0:11:29.120 --> 0:11:33.240
<v Speaker 1>for way decades now, and I think finally it's reached

0:11:33.240 --> 0:11:35.640
<v Speaker 1>for us and everyone's conscious. Right, That's what chat GPT did.

0:11:35.679 --> 0:11:37.960
<v Speaker 1>It made it like come to the forefront. Because AI

0:11:38.080 --> 0:11:42.360
<v Speaker 1>has come in and out of interest over as winter.

0:11:42.440 --> 0:11:44.960
<v Speaker 1>They call it AI winters, many of them. So now

0:11:45.000 --> 0:11:47.400
<v Speaker 1>it's in front of everyone. To me, it is finally

0:11:47.440 --> 0:11:50.920
<v Speaker 1>teed up the most important issue with technology, which is

0:11:50.920 --> 0:11:54.400
<v Speaker 1>that if we don't build trust into this technology, it

0:11:54.559 --> 0:11:56.319
<v Speaker 1>is going to have a very bad ending. And it's

0:11:56.320 --> 0:11:59.720
<v Speaker 1>a sha we do that. We acquire regulators, like how

0:11:59.760 --> 0:12:02.640
<v Speaker 1>do we ab I have a very strong view. Trust

0:12:02.679 --> 0:12:05.320
<v Speaker 1>comes when you manage the up and the downsides of

0:12:05.400 --> 0:12:08.520
<v Speaker 1>something at the same time. So that means, all right,

0:12:08.559 --> 0:12:11.520
<v Speaker 1>I introduced yet all right, do people understand it? Is

0:12:11.520 --> 0:12:14.000
<v Speaker 1>it explainable? We got to get that done quickly? Do

0:12:14.040 --> 0:12:17.800
<v Speaker 1>they know how it's trained? Garbage in, garbage out? All right?

0:12:18.120 --> 0:12:21.160
<v Speaker 1>And it makes sense? And then depending on the kind

0:12:21.200 --> 0:12:23.440
<v Speaker 1>of problem I really tell people to use it for,

0:12:23.679 --> 0:12:27.040
<v Speaker 1>they have a very different tolerance level I learned on technology.

0:12:27.280 --> 0:12:29.400
<v Speaker 1>If it's searching, you get a wrong movie back, you

0:12:29.440 --> 0:12:31.760
<v Speaker 1>don't care. If it's about your health, you care. You

0:12:31.800 --> 0:12:33.960
<v Speaker 1>got a bad answer, even though your human doctor could

0:12:34.000 --> 0:12:37.520
<v Speaker 1>be wrong some percentage of depending on the doctor of time.

0:12:37.880 --> 0:12:40.400
<v Speaker 1>So this idea of trust means take responsibility for it.

0:12:40.520 --> 0:12:43.280
<v Speaker 1>So the onus is on companies. It's gonna be on companies,

0:12:43.360 --> 0:12:46.520
<v Speaker 1>the users and the builders have even greater responsibility. Out

0:12:46.600 --> 0:12:49.840
<v Speaker 1>always felt that, and so that you are telling people

0:12:49.840 --> 0:12:51.920
<v Speaker 1>a how to use it, be what it's trained with,

0:12:52.040 --> 0:12:54.240
<v Speaker 1>or see let's say I train it and it's my

0:12:54.280 --> 0:12:56.599
<v Speaker 1>proprietary data. I don't want that train thing going to

0:12:56.679 --> 0:12:58.760
<v Speaker 1>the next guy. So we got to work on all

0:12:58.760 --> 0:13:01.720
<v Speaker 1>this at once. You need regulation. Here's my big point

0:13:01.760 --> 0:13:05.880
<v Speaker 1>on regulation, precision regulation. Do you like that you can

0:13:05.920 --> 0:13:08.320
<v Speaker 1>open your phone with your face? That makes it pretty fast,

0:13:08.360 --> 0:13:10.320
<v Speaker 1>gloves on you don't want to do, okay, but you

0:13:10.320 --> 0:13:13.240
<v Speaker 1>don't like facial recognition for things like racial profiling. So

0:13:13.280 --> 0:13:16.880
<v Speaker 1>we should regulate the uses of it, not the technology itself.

0:13:17.080 --> 0:13:19.280
<v Speaker 1>Because we try doing that. People who make laws don't

0:13:19.280 --> 0:13:21.120
<v Speaker 1>really understand the details of it that this is going

0:13:21.160 --> 0:13:23.600
<v Speaker 1>to go nowhere, but they do understand the uses, and

0:13:23.640 --> 0:13:25.959
<v Speaker 1>so that would be how I would do the regulation,

0:13:26.320 --> 0:13:28.200
<v Speaker 1>because you want it to flourish. I have tried to

0:13:28.200 --> 0:13:31.640
<v Speaker 1>whole technology trends back in the past. You can't stop them.

0:13:31.640 --> 0:13:33.080
<v Speaker 1>Do you think this is like kind of the biggest

0:13:33.120 --> 0:13:35.120
<v Speaker 1>thing that's going to be just I think it's a

0:13:35.160 --> 0:13:37.560
<v Speaker 1>really big turning point, and I actually think it's got

0:13:37.559 --> 0:13:40.160
<v Speaker 1>the propensity to make you and me do our jobs better,

0:13:40.600 --> 0:13:42.120
<v Speaker 1>and so I think it's going to bring and can

0:13:42.200 --> 0:13:45.240
<v Speaker 1>uplift a lot of people into better jobs. At the

0:13:45.280 --> 0:13:47.440
<v Speaker 1>same time, we got to mitigate the downsides. And that's

0:13:47.440 --> 0:13:51.400
<v Speaker 1>like active just like social media. Right, yes, great, great, great,

0:13:51.440 --> 0:13:53.360
<v Speaker 1>until then there were some bad things. You'd like to

0:13:53.400 --> 0:13:55.079
<v Speaker 1>have pulled back the clock and said, let's work on

0:13:55.120 --> 0:13:57.360
<v Speaker 1>the bad at the same time. Does that making it

0:13:57.360 --> 0:13:59.880
<v Speaker 1>a little nervous? Though that social media has had its problems,

0:14:00.080 --> 0:14:02.480
<v Speaker 1>still get me from all of this we learned, yet

0:14:02.559 --> 0:14:04.960
<v Speaker 1>we're not well. I think that now when you talk

0:14:05.000 --> 0:14:07.240
<v Speaker 1>about all the companies involved, and you know, you talk

0:14:07.280 --> 0:14:10.280
<v Speaker 1>about banks using a telcos. These are mature companies. They

0:14:10.320 --> 0:14:13.240
<v Speaker 1>recognize that the one attribute they have the world cares

0:14:13.280 --> 0:14:15.600
<v Speaker 1>about his trust. And so I think when you think

0:14:15.679 --> 0:14:18.040
<v Speaker 1>that way, you're going to think twice about how you

0:14:18.080 --> 0:14:20.840
<v Speaker 1>introduce it to the world. So I'm hopeful about that. Well,

0:14:20.880 --> 0:14:23.160
<v Speaker 1>there's that risk of backlash too, you know, I'm thinking

0:14:23.200 --> 0:14:27.120
<v Speaker 1>back too. Yeah, if people don't understand something, fear and revolt. Right. Well,

0:14:27.280 --> 0:14:30.680
<v Speaker 1>remember when IBM's Big Blues started beating the chess mass.

0:14:31.280 --> 0:14:33.960
<v Speaker 1>This is I learned very much trying to introduce technology,

0:14:34.280 --> 0:14:37.520
<v Speaker 1>like introduce AI to doctors. I learned. The biggest thing

0:14:37.640 --> 0:14:40.320
<v Speaker 1>was this was not a technology issue. The doctors had

0:14:40.360 --> 0:14:42.240
<v Speaker 1>to make the time to change how they worked. They're

0:14:42.360 --> 0:14:44.840
<v Speaker 1>very busy day in and day out. They didn't necessarily

0:14:44.840 --> 0:14:46.720
<v Speaker 1>trust what data trained it. I mean, there was a

0:14:47.040 --> 0:14:50.280
<v Speaker 1>you're we're seeing this play out one more time. I

0:14:50.360 --> 0:14:51.840
<v Speaker 1>keep looking at my list because I have a million

0:14:51.840 --> 0:14:54.800
<v Speaker 1>more questions and we run out of time. Thirty forty seconds,

0:14:54.840 --> 0:14:57.080
<v Speaker 1>you do, I have to ask you because you're you

0:14:57.120 --> 0:15:00.480
<v Speaker 1>see so much. You're on corporate awards JP Morgan, Cargill

0:15:01.480 --> 0:15:09.040
<v Speaker 1>and others, Northwestern, I'm failing. You're no thirty seconds. How

0:15:09.040 --> 0:15:12.760
<v Speaker 1>would you describe kind of this environment right now? You know,

0:15:12.760 --> 0:15:15.520
<v Speaker 1>in many ways it's a perma crisis. I've heard used

0:15:15.560 --> 0:15:18.280
<v Speaker 1>as a word. Right there's so many at one time,

0:15:18.760 --> 0:15:20.480
<v Speaker 1>and so it's I think we'll be living with that

0:15:20.600 --> 0:15:23.520
<v Speaker 1>uncertainty for a very long time. And on an up note,

0:15:23.920 --> 0:15:26.280
<v Speaker 1>I think these are the moments when you can back

0:15:26.280 --> 0:15:29.040
<v Speaker 1>to how I started this. Companies and people can define

0:15:29.080 --> 0:15:31.480
<v Speaker 1>who they are in people's minds, and so I think

0:15:31.960 --> 0:15:34.320
<v Speaker 1>right now I put a premium on trust if I

0:15:34.400 --> 0:15:36.640
<v Speaker 1>was a company, on everything I did for my customers,

0:15:36.640 --> 0:15:39.160
<v Speaker 1>my partners, etc. Because this is going to be with

0:15:39.280 --> 0:15:41.960
<v Speaker 1>us for a long time, and when's the last time

0:15:41.960 --> 0:15:43.920
<v Speaker 1>he ate tripe? That's what I want to know. You know,

0:15:44.840 --> 0:15:48.240
<v Speaker 1>in spaghetti sauce, it tastes pretty good, very tender. I

0:15:48.280 --> 0:15:51.160
<v Speaker 1>have to say it was a couple of decades ago.

0:15:51.400 --> 0:15:53.400
<v Speaker 1>You have to read her book to find out why.

0:15:53.480 --> 0:15:56.080
<v Speaker 1>Jenny Rometti, thank you so much. Good Power is the book.

0:15:56.160 --> 0:15:58.720
<v Speaker 1>Check it out, everybody. This is Bloomberg Radio.