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Ginni Rometty: IBM CEO on Leadership, Power, and Adversity

Episode 3622023-03-02English

Guests: Ginni Rometty

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§01Transcript · 00:00–17:54

00:00I've had to do plenty of unpopular things. I think anytime you have to run a company that endures

00:04a century and has to endure another century, you will do unpopular things. You have no choice.

00:10And I often felt I had to sacrifice things for the long term. And whether that would have been

00:16really difficult things like job changes or reductions, or whether it would be things like,

00:22"Hey, we're going to change the way we do our semiconductors," and a whole different philosophy,

00:29you have no choice. And in times of crisis as well, you got to be...

00:33I would say it's not a popularity contest.

00:35The following is a conversation with Jeannie Vermetti, who was a longtime CEO,

00:41president, and chairman of IBM. And for many years, she was widely considered to be one of

00:46the most powerful women in the world. She's the author of a new book on power, leadership,

00:52and her life story called "Good Power," coming out on March 7th. She is an incredible leader

01:00and human being, both fearless and compassionate. It was a huge honor and pleasure for me to sit

01:07down and have this chat with her. This is the Lex Friedman Podcast. To support it,

01:12please check out our sponsors in the description. And now, dear friends, here's Jeannie Vermetti.

01:19You worked at IBM for over 40 years, starting as a systems engineer, and you ran the company

01:24as chairman, president, and CEO from 2011 to 2020. IBM is one of the largest tech companies in the

01:31world with, maybe you can correct me on this, with about 280,000 employees. What are the biggest

01:39challenges running the company of that size? Let's start with a sort of big overview question.

01:45The biggest challenges I think are not in running them, it's in changing them.

01:48And that idea to know what you should change and what you should not change. Actually, people don't

01:54always ask that question. What should endure, even if it has to be modernized, but what should endure?

01:59And then I found the hardest part was changing how work got done at such a big company.

02:04What was the parts that you thought should endure? The core of the company that was beautiful and

02:10powerful and could persist through time, that should persist through time.

02:13I'd be interested, do you have a perception of what you think it would be?

02:16Do I have a perception? Well, I'm a romantic for a history of long running companies,

02:23so there's kind of a tradition as a AI person. To me, IBM has some epic sort of research

02:31accomplishments where you show off, you know, Deep Blue and Watson, just impressive big moonshot

02:39challenges and accomplishing those. But that's, I think, probably a small part of what IBM is.

02:44That's mostly like the sexy public facing part.

02:48Yeah. Well, certainly the research part itself is over 3,000, so it's not that small. That's

02:54a pretty big research group. But the part that should endure ends up being a company that does

03:01things that are essential to the world. Meaning, think back, you said you're a romantic. It was

03:09the '30s, the social security system. It was putting the man on the moon. It was, you know,

03:13to this day, banks don't run, railroads don't run. That is at its core, it's doing mission

03:21critical work. And so that part, I think, is at its core, it's a business to business company.

03:26And at its core, it's about doing things that are really important to the world becoming running and

03:32being better. Running the infrastructure of the world, so doing it at scale, doing it reliably.

03:37Yes, secure in this world, that's like everything. And in fact, when I started,

03:41I almost felt people were looking for what that was. And together, we sort of, in a word,

03:45it was to be essential. And the reason I love that word was I can't call myself essential.

03:51You have to determine I am, right? So it was to be essential, even though some of what we did is

03:56exactly what you said, it's below the surface. So many people, because people say to me, well,

03:59what does IBM do now? Right? And over the years, it's changed so much. And today, it's really a

04:06software and consulting company. Consulting is a third of it. And the software is all hybrid cloud

04:12and AI. That would not have been true, as you well know, back even two decades ago, right? So

04:17it changes. But I think at its core, it's that be essential. You said moonshot, can't all be

04:22moonshots because moonshots don't always work, but mission critical work.

04:26So given the size, though, when you started running it, did you feel the sort of thing that

04:35people usually associate with size, which is bureaucracy, and maybe the aspect of size that

04:41hinder progress or hinder pivoting, did you feel that? - You would, for lots of reasons. I think

04:47when you're a big company, sometimes people think of process as the client themselves.

04:53I always say to people, your process is not your customer. There is a real customer here that you

04:59exist for. And that's really easy to fall into because people are a master to this process. And

05:07that's not right. And when you're big, the other thing, and boy, there's a premium on it, is speed,

05:13right? That in our industry, you got to be fast. And go back, like when I took over and it was 2012,

05:20we had a lot of catching up to do and a lot of things to do, and it was moving so fast. And as

05:26you well know, all those trends were happening at once, which made them go even faster. And so

05:31pretty unprecedented, actually, for that many trends to be at one time. And I used to say to

05:36people, "Go faster, go faster, go faster." And honestly, I've tired them out. I mean,

05:43it kind of dawned on me that when you're that big, that's a really valuable lesson. And it taught me

05:49the how's perhaps more important than the what. Because if I didn't do something to change how

05:54work was done, like change those processes or give them new tools, help them with skills,

05:59they couldn't. They'll just do the same thing faster. If someone tells you, "You've got hiking

06:05boots," and they're like, "No, go run a marathon." You're like, "I can't do it in those boots."

06:09But so you've got to do something. And at first, I think the ways for big companies,

06:14I would call them like blunt clubs. You do what everyone does. You reduce layers. Because if you

06:19reduce layers, decisions go faster. It's math. If there's less decision points, things go faster.

06:25You do the blunt club thing. And then after that, though, it did lead me down a long journey of,

06:33they sound like buzzwords, but if you really do them at scale, they're hard, around things like

06:37agile. Because you've really got to change the way work gets done. And we ended up training,

06:44God, hundreds of thousands of people on that stuff to really change it.

06:48- Correctly. - On how to do it correctly.

06:50That's right. Because everybody talks about it. But the idea that you would really have small,

06:55multidisciplinary teams work from the outside in, set those sort of interim steps, take the

07:01feedback pivot, and then do it on not just products, do it on lots of things. It's hard to

07:07do at scale. People always say, "Oh, I got this agile group over here of 40 people." But not when

07:12you're a couple hundred thousand people. You got to get a lot of people to work that way.

07:15- The blunt club thing you're talking about. So flatten the organization as much as possible.

07:19- Yeah, yeah. I probably reduced the layers of management by half.

07:22And so that has lots of benefits, right? Time to a decision, more autonomy to people. And then

07:31the idea of faster clarity of where you're going. Because you're not just filtered through so many

07:37different layers. And I think it's the kind of thing a lot of companies, if you're big,

07:42have to just keep going through. It's kind of like grass grows. It just comes back,

07:46and you got to go back town and work on it. So it's a natural thing. But I hear so many people

07:52talk about it, Lex, this idea of like, "Okay, well, who makes a decision?" You've often heard,

07:56"Nobody can say yes, and everybody can say no." And that's actually what you're trying to get out

08:01of a system like that. - So, I mean, your book in general,

08:06the way you lead is very much about we and us, the power of we. But is there times when a

08:12leader has to step in and be almost autocratic, take control and make hard, unpopular decisions?

08:17- Oh, I am sure you know the answer to that. And it is, of course, yes.

08:21- It's just fun to hear you say it. - It's fun to say it. Yeah. You know,

08:24'cause I actually, A, there's a leader for a time, but then there's a leader for a situation,

08:29right? And so I've had to do plenty of unpopular things. I think anytime you have to run a company

08:35that endures a century and has to endure another century, you will do unpopular things. You have

08:40no choice. And I often felt I had to sacrifice things for the long-term. And whether that would

08:46have been really difficult things like job changes or reductions, or whether it would be things like,

08:53"Hey, we're gonna change the way we do our semiconductors," and a whole different philosophy,

08:59you have no choice. I mean, and in times of crisis as well, you gotta be... I always said it's not a

09:05popularity contest. So that's... None of these jobs are popularity contests. I don't care if

09:10your company's got one person or half a million. They're not popularity contests.

09:14- But psychologically, is it difficult to just sort of step in as a new CEO and...

09:19'Cause you're fighting against tradition, against all these people that act like experts of their

09:25thing, and they are experts of their thing, to step in and say, "We have to do it differently."

09:29- Yeah. When you gotta change a company, it's really tempting to say, "Throw everything else

09:34out." Back to that, what must endure, right? But I know when I took over to start, I knew how much

09:39had to change. The more I got into it, I could see, wow, a lot more had to change, right? 'Cause

09:44we needed a platform. We'd always done our best when we had a platform, a technology platform.

09:49You will go back in time and you'll think of the mainframe systems. You'll think of the PC. You'll

09:53think of perhaps middleware. You could even call services a platform. We needed a platform,

10:00the next platform here to be there. Skills. When I took over, we inventoried who had modern skills

10:07for the future. It was two out of 10 people for the future. Not that they didn't have relevant

10:10skills today, but for the future, two out of 10. Yikes, that's a big problem, right? The speed at

10:16which things were getting done. So you got so much to do, and you say, "Is that a scary thing?" Yes.

10:23Do you have to sometimes dictate? Yes. But I did find, and it is worth it. I know every big company

10:29I know. My good friend that runs General Motors, she's had to change. Go back to what is them,

10:36them. When you do that, that back to be essential, we started with, "Hey, it's be essential." Then

10:42the next thing I did with the team was say, "Okay, now this means new era of computing,

10:46new buyers are out there, and we better have new skills. Okay, now the next thing,

10:50how do you operationalize it?" It just takes some time, but you can engineer that and get people to

10:58build belief. For the skills, that means hiring and it means training? Yes. Oh boy, that's a long,

11:06skills is a really long topic in and of itself. I try to put my view in it. I learned a lot,

11:11and I changed my view on this a lot. I'll go back at my very beginning, say 40 years ago,

11:17I would have said at that point, "Okay." I was always in a hurry. I was interviewing to hire

11:23people. I don't know how you hire people. 40 years ago, I'd be like, "Okay, I got to fit in these

11:27interviews. I got to hire someone to get this done." Then time would go on. I'm like, "Oh,

11:31that's not very good." In fact, someone once said to me, "Hey, hire the best people to work for you,

11:35and your job gets a lot easier. Okay, I should spend more time on this topic, spend more time

11:39on it." Then it was like, "Okay, hire experts." Okay, hired a lot of experts over my life.

11:45Then I was really like an epiphany, and it really happened over my tenure running the

11:51company and having to change skills. If someone's an expert at something and has just done that for

11:5630 years, the odds of them really wanting to change a lot are pretty low. When you're in a

12:02really dynamic industry, that's a problem. Okay, that was my first revelation on this.

12:08Then when I looked to hiring, I can remember when I started my job, we needed cyber people.

12:14I go out there and I look. Unemployment in the US was almost 10%. Can't find them. Okay, it's 10%,

12:20and I can't find the people. Okay, what's the issue? Okay, they're not teaching the right

12:24things. That led me down a path, and it was serendipity that I happened to do a review of

12:31corporate social responsibility. We had this one little fledgling school in a low-income area,

12:36and high school with a community college, we gave them internships, direction on curriculum.

12:41Lo and behold, we could hire these kids. I said, "Hmm, this is not CSR. I just found a new talent

12:48pool," which takes me to now what I'm doing in my post-retirement. I'm like, "This idea that don't

12:55hire just for a college degree," we had 99% of our hires were college and PhDs, and I'm all for it.

13:02So you're very, "Don't, don't."

13:04I'm deeply offended.

13:05No, you should not be. I'm vice chair at Northwestern, one of the vice chairs.

13:09But I said, "I just really like aptitude does not equal access." These people didn't have access,

13:15but they had aptitude. It changed my whole view to skills first. And so now for hiring,

13:22that's kind of a long story to tell you, the number one thing I would hire for now

13:25is somebody's willingness to learn. And you can test, you can try different ways,

13:29but their curiosity and willingness to learn, hands down, I will take that trait over anything

13:34else they have.

13:35So the interview process, the questions you ask-

13:37Changed. Everything changed.

13:38The kind of things you talk to them about is try to get at how curious they are about the work.

13:43And testing. I mean, we triangulated around it lots of ways. And now look,

13:47at the heart of it, what it would do is change. You don't think of buying skills,

13:52you think of building skills. And when you think that way, with so many people, and I think

13:57this country, many developed countries being disenfranchised, you got to bring them back

14:02into the workforce somehow, and they got to get some kind of contemporary skills.

14:06And if you took that approach, you can bring them back into the workforce.

14:10Yeah, I think some interesting combination of humility and passion. Because like you said,

14:15experts sometimes lack humility if they call themselves an expert for a few too many years.

14:22So you have to have that beginner's mind and a passion to be able to aggressively, constantly

14:27be a beginner at everything and learn and learn and learn.

14:30You know, I saw it firsthand when we were beginning this path down the cloud in AI,

14:35and people would say, "Oh, IBM, you know, it's existential. They've got to change." And

14:41all these things. And I did hire a lot of people from outside, very willing to learn new things.

14:46"Come on in. Come on in." And I sometimes say, "Shiny objects. Trained in shiny objects. Come

14:51on in." But I saw something, it was another one of these, "You're not a shiny object. I'm not

14:56saying that." But I learned something. Okay, some of them did fantastic. And others, they're like,

15:04"Well, let me school you on everything." But they didn't realize we did really mission-critical

15:09work. And that'd break a bank. I mean, they would not understand the certain kind of security and

15:13the auditability and everything they had to go on. And then I watched IBM people say, "Oh,

15:19I actually could learn something." Some were like, "Yeah. Okay. I don't know how to do that. That's

15:22a really good thing I could learn." And in the end, there was not like one group was a winner

15:26and one was a loser. The winners were the people who were willing to learn from each other.

15:30I mean, to me, it was very stark example of that point. And I saw it firsthand. So,

15:36that's why I'm so committed to this idea about skills first. And that's how people should be

15:40hired, promoted, paid, you name it. - Yeah. The AI in general, it seems like

15:47nobody really understands now what the future will look like. We're all trying to figure it out. So,

15:52what IBM will look like in 50 years in relation to the software business to AI is unknown. What

15:59Google will look like, what all these companies, we're trying to figure it out. And that means

16:04constantly learning, taking risks, all of those things. And nobody's really skilled in AI.

16:11- You're absolutely right. That's right. I couldn't agree more with you on that.

16:16- You wrote in the book, speaking of hiring, "My drive for perfection often meant I only

16:25focused on what needed to change without acknowledging the positive. This could keep

16:29people from trusting themselves. It could take me a while to learn that just because I could point

16:34something out didn't mean I should. I still spotted errors, but I became more deliberate

16:39about what I mentioned and sent back to get fixed. I also tried to curtail my tendency to micromanage

16:45and let people execute. I had to stop assuming my way was the best or only way. I was learning

16:51that giving other people control builds their confidence and that constantly trying to control

16:56people destroys it." So, what's the right balance between showing the way and helping people find

17:04the way? - That is a good question. Because, like a really flip answer would be, as it gets bigger,

17:13you have no choice but to just, you know, you can't do it. You have to tell or show. I mean,

17:20you've got to let people find their way because it's so big you can't, right? That's an obvious

17:26answer. Scope of work. Bigger it gets, okay, I've got to let more stuff go. But, I have always

17:34believed that a leader's job is to do as well. And I think there's like a few areas that are

17:43really important that you always do. Now, it doesn't mean you're showing. So, like when it has

17:49to do with values and value-based decisions, like I think it's really important to constantly

17:54show people that you walk your talk on that kind of thing. It's super important. And I actually

§02Transcript · 18:02–34:37

18:02think it's a struggle young companies have because the values aren't deeply rooted. And when a storm

18:08comes, it's easy to uproot. And so, I always felt like when it was that time, I showed it. I got

18:15taught that so young at IBM and even General Motors. In fact, I do write about that in the book.

18:23First time I was a manager, I had a gentleman telling dirty jokes. And not to me, but to other

18:30people. And it really offended people and some of the women. And this is the very early '80s.

18:38And they came, said something. I talked to my boss. I'm a first-time manager. And he was

18:45unequivocal with what I should do. He said, and this was a top performer, "It stops immediately

18:50or you fire him." So, there are a few areas like that that I actually think you have to always

18:56continue to role model and show. That to me isn't the kind that like when do you let go of stuff.

19:02The values and relationships with clients.

19:06Yeah, whatever you're in service of. And the other thing was, I really felt it was really

19:10important to role model learning. So, I can remember when we started down the journey

19:17and we went on to this thing called the Think Academy. IBM's longtime motto had been Think.

19:22And we said, "Okay, I'm going to make the first Friday of every month compulsory education."

19:27And, okay, I mean everybody. Like everybody, I don't care what your job is. When the whole

19:33company has to transform, everybody's got to kind of have some skin in this game and understand it.

19:37I taught the first hour of every month for four years. Now, okay, I had to learn something.

19:43But it made me learn. But I was like, "Okay, if I can teach this, you can do it." Right? I mean,

19:49you know, that kind of thing.

19:50So, it was a compulsory Thursday night education for you.

19:53I'm a little bit better prepared than that. But yes, you're so right. Yes.

19:57So, you prepare.

19:58Yeah.

19:58So, like personality-wise, you like to prepare?

20:01Yeah. But there's roots in that go back deeply, deeply, deeply, deeply. And I think

20:06it's an interesting reason. So, why do? You're prepared, my friend. Yes, you are. You prepare

20:11for your interviews.

20:12Uh, sure.

20:15The rest you wing?

20:16Yeah, I wing most of it.

20:16But that's okay. I mean, you don't have to prepare everything. I don't prepare everything

20:19either.

20:20No, but I unfortunately wing stuff. I save it to last minute. I push everything. I'm always

20:25almost late. And I don't know why that is. I mean, there's some deep psychological thing we

20:30should probably investigate. But it's probably the anxiety brings out the performance.

20:34That can be. That's very true with some people.

20:36I mean, so, I'm a programmer and engineer at heart. And so, programmers famously overestimate

20:41or underestimate, sorry, how long something's going to take. And so, I just, everything,

20:47always underestimate. And it's almost as if I want to feel this chaos of anxiety of a

20:54deadline or something like this. Otherwise, I'll be lazy sitting on a beach with a pina

20:57colada and relaxing.

20:58Yeah.

20:59I don't know. So, we have to know ourselves. But for you, you like to prepare.

21:03For me. Yeah. It came from a few different places. I mean, one would have been as a kid,

21:08I think, I was not a memorizer. And my brother is brilliant. He can read it once, boom, done.

21:17And so, I always wanted to understand how something happened. It didn't matter what

21:21it was I was doing. Whether it was algebra, theorems, I always wanted, don't give me the

21:24answer. Don't give me the answer. I want to figure it out, figure it out. So, I could

21:27reproduce it again and didn't have to memorize. So, it started with that. And then over time,

21:32okay, so I was in university in the 70s. When I was in engineering school, I was the only woman.

21:39You know, I meet people still to this day and they're like, "Oh, I remember you." I'm like,

21:42"Yeah, sorry, I don't remember you. There were 30 of you, one of me." And I think you already

21:47get that feeling of, okay, I better really study hard because whatever I say is going to be

21:50remembered in this class, good or bad. And it started there. So, in some ways, I did it for

21:58two reasons. Early on, I think it was a shield for confidence. The more I studied, the more prepared

22:04I was, the more confident. That's probably still true to this day. The second reason I did it

22:10evolved over time and became different to prepare. If I was really prepared, then when we're in the

22:17moment, I can really listen to you. See, because I don't have to be doing all this stuff on the fly

22:21in my head. And I could actually take things I know and maybe help the situation. So, it really

22:27became a way that I could be present in the moment. And I think it's something a lot of people

22:34that in the moment, I learned it from my husband. He doesn't prepare by the way at all. So, that's

22:38not it. But I watched the in the moment part. The negative example.

22:43No, no, no. And I'm not going to change that. As he says, he's a type C, I'm an A.

22:46Yes, of course. That's how love works.

22:47And I have been married 43 years and that seems to work. But that idea that you could be in the

22:53moment with people is a really important thing. Yeah. So, the preparation gives you the freedom

22:58to really be present. So, just to linger on, you mentioned your brother. And it seems like in the

23:06book that you really had to work hard when you studied to sort of, given that you weren't good

23:13at memorization, you really truly deeply wanted to understand the stuff and you put in the hard

23:17work. And that seems to persist throughout your career. So, hard work is often associated with,

23:23sort of has negative associations. Well, maybe with burnout, with dissatisfaction.

23:29Is there some aspect of hard work at the core of who you are that led to happiness for you?

23:36Did you enjoy it?

23:38I enjoyed it. So, I'll be the first. And I'm really careful to say that to people because

23:43I don't think everyone should associate, "Gee, to do what you did, there's only one route there."

23:48Right? And that's just not true. And I do it because I like it. In fact, I'm careful. And

23:53as time goes on, you have to be careful as more and more people watch you. Whether you like it,

23:57you're a role model or not. You are a role model for people. Whether you know it, like it, want it,

24:01does not matter. I learned that the hard way. And I would have to say to people, "Hey, just because

24:05I do this does not mean I do it for these reasons." Right? So, be really explicit. And I'd come to

24:11believe, usually when people say the word power, I don't know, do you have a positive or negative

24:14notion when I say the word power? We'll just do a- - Probably negative one, yeah.

24:18- For some stereotype or some view that somebody's abused it in some way. You can read the newspaper,

24:23somebody's doing something. Personal people, like I'll ask people, "Do you want power?" And they're

24:29like, "Oh no, I'd rather do good." And I think the irony is you need power to do good.

24:35And so, that sort of led me down to, as I thought about my own life, right? Because it starts in a,

24:42like many of us, you don't have a lot, but you don't know that because you're like everybody

24:48else around you at that time. And on one end, tragedy, right? My father leaves my mother,

24:54homeless, no money, no food, nothing, four kids. She's never worked a day in her life outside of

25:00a home. And the irony that I hear I would end up as the ninth CEO of one of America's iconic

25:06companies. And now I co-chair this group 110. And that journey, I said, "The biggest thing I learned

25:11was you could do really hard, meaningful things in a positive way." So now you ask me about why

25:15do I work so hard? I ended up writing the book in three pieces for this reason. When you really

25:22think of your life and power, I thought it kind of fell like a pebble in water. Like there's a

25:28ring about you really care about yourself and like the power of yourself, power of me. There's a time

25:35it transcends to that you are working with and for others and another moment when it becomes like

25:39about society. So my hard work, I'd ask you, one day sit really hard and think about when you close

25:46your eyes, who do you see from your early life, right? And what did you learn? And maybe it's not

25:52that hard for you. I mean, it's funny the things then, if I really looked at it, it's no surprise

25:59what I do today. And that hard work part, my great-grandma, as you and I were comparing notes

26:05on Russia, right? And never spoke English, spoke Russian, came here to this country, was a cleaning

26:11person at the Wrigley Building in Chicago. Yet if she hadn't saved every dime she made,

26:17my mother wouldn't have a home and wouldn't have had a car, right? What did I learn from that?

26:22Hard work. In fact, actually, when I went to college, she's like, "You know, you really should

26:25be on a farm. You're so big and strong." That was her view. And then my grandmother,

26:31another tragic life. What did she do though? And think how long, that's in the 40s, the 50s,

26:37she made lampshades. And she taught me how to sew, right? So I could sew clothes when we couldn't

26:43afford them. But my memory of my grandma is working seven days a week, sewing lampshades.

26:51And then here comes my mom and her situation who climbs her way out of it. So I associate that

26:57with, well, strong women, by the way, all strong women. And I associate hard work with how you are

27:07sure you can always take care of yourself. And so I think that the roots go way back there.

27:11And they were always teaching something, right? My great-grandma was teaching me how to cook,

27:15how to work a farm, even though I didn't need to be on a farm. My grandma taught me, you know,

27:19here's how to sew, here's how to run a business. And then my mother would teach us that,

27:23"Look, with just a little bit of education, look at the difference it could make." Right?

27:27So anyways, that's a long answer too. I think that hard work thing is really

27:31deeply rooted from that background. - And it gives you a way out from hard times.

27:36- Yeah. You know, I think I've seen you on other podcasts say,

27:39"I thought I did. Do you want a plan B?" Didn't you say, "No, you would not like a plan B?"

27:46- Yeah, I don't want a plan B. - Because you're like,

27:47"I would prefer my backup against, am I remembering?" - You have a story like that.

27:50You seem to have, at least certain moments in your life, seem to do well in desperate times.

27:59- True enough. True enough, that's true. I learned that very well. But I also think that maybe this

28:07isn't the same kind of plan B. I think of it as, like I was taught, always be able to take care of

28:12yourself. Don't have to rely on someone else. And I think that to me, so that's my plan B,

28:18I can take care of myself. And it's even after what I lived through with my father, I thought,

28:24"Well, this is at a bar for bad. After this, nothing's bad." And that is a very freeing thought.

28:30- The being able to take care of yourself, is that, you mean practically, or do you mean just

28:35a self-belief that I'll figure it out? - I'll figure it out and practically both,

28:39right? - So you wrote,

28:40"I vividly remember the last two weeks of my freshman year when I only had 25 cents left.

28:48I put the quarter in a clear plastic box on my desk and just stared at it. This is it, I thought,

28:54no more money." So do you think there's some aspect of that financial stress, even desperation,

29:02just being hungry, does that play a role in that drive that led to your success to be the CEO

29:09of one of the great companies ever? - It's a really interesting question

29:12because I was just talking to another colleague who's CEO of another great American company this

29:17weekend. And he mentioned to me about all this adversity and he said, or I said to him, I said,

29:24"Do you think part of your success is 'cause you had bad stuff happen?"

29:30And he said, "Yes." And so I guess I'd be lying if I didn't say, I don't think you have to have

29:38tragedy, but it does teach you one really important thing is that there is always a way forward,

29:43always, and it's in your control. - And I think there's probably wisdom

29:47for mentorship there, or whether you're a parent or a mentor, that easy times don't result in growth.

29:55- Yeah, I've heard a lot of my friends and they worry, they say, "Gee, my kids have never had

29:59bad times." And so what happens here? So I don't know, is it required? And why you end up,

30:06not required, but it sure doesn't hurt. - You had this good line about advice you

30:11were given that growth and comfort never coexist, growth and comfort never coexist.

30:17And you have to get used to that thought. - If someone said that they think of me like

30:21one of the more profound sort of lessons I had, and the irony is, it's from my husband,

30:28which is even more funny, actually. - I'm glad you're able to, you could just steal it.

30:32I mean, you don't have to give him credit. - Oh, I have, I have, shamelessly, as he'll tell you.

30:35Okay, so the story behind growth and comfort never coexist, but honestly, I think it's been

30:42a really freeing thought for me, and it's helped me immensely since. Mid-career, and as I write

30:49about it in the book, I'm mid-career, and I'd been running a pretty big business, actually,

30:55and the fella I work for is gonna get a new job, he's gonna get promoted. He calls me and he says,

30:58"Hey, you're gonna get my job. I really want you to have it." And I said to him, "No way." I said,

31:04"I'm not ready for that job. I got a lot more things I gotta learn. That is like a huge job,

31:09round the world, every product line, development, you name it, every function, I can't do it."

31:14He looked at me, he says, "Well, I think you should go to the interview." I went to the interview the

31:20next day, blah, blah, blah. Guy says to me, looks at me and he says, "I wanna offer you that job."

31:25And I said, "I would like to think about it." I said, "I wanna go home and talk to my husband

31:31about it." He kinda looked at me, "Okay." I went home, my husband is sitting there and he says to

31:38me, I went on and on about the story, et cetera, and he says, "Do you think a man would've answered

31:44it that way?" And I said, "Hmm." He says, "I know you." He's like, "Six months, you're gonna be

31:51bored. And all you can think of is what you don't know." And he said, "And I know these other

31:56people. You have way more skill than them and they think they could do it." And he's like, "Why?"

32:01And for me, it internalized this feeling that, and I am gonna say something that's a bit stereotyped,

32:10that it resonates with many, many women, and I'll ask you if it does after, is that they're the most

32:15harsh critic of themselves. And so this idea that I won't grow unless I can feel uncomfortable,

32:21doesn't mean I always have to show it, by the way. So that's why I meant growth and comfort can never

32:26coexist. So I was like, "He's exactly right." Now, the end of that story is I went in and I took the

32:32job. When I went back to the man who was really my mentor looking out for me, and he looked at me and

32:37he said, "Don't ever do that again." And I said, "I understand." Because it was okay to be

32:43uncomfortable. I didn't have to use it. I mean, now I would take stock of the things I can do,

32:48right? And really think, or I look for times to be uncomfortable. Because I know if I am nervous,

32:55like, I don't know if you're nervous to meet me. We never met in real person.

32:58- 100%. I'm still terrified.

33:00- No, you're not. But then you're, it means you're learning something, right?

33:04- Holding it together.

33:04- So that to me matters.

33:07- I think it's interesting. Maybe you could speak to that, the sort of the self-critical

33:12thing inside your brain. Because I think sometimes it's talked about that women have that.

33:21But I have that, definitely. And I think that's not just solely a property of women in the workplace.

33:28- No, I don't think it is either.

33:28- But I also want to sort of push back on the idea that that's a bad thing that you should

33:33silence. Because I think that anxiety, that leads to growth also. That's like this discomfort. So

33:39there's this weird balance you have to have between that self-critical engine and confidence.

33:44- Yeah, I think that's a good point.

33:45- You have to kind of dance. Because if you're super confident, people will value you higher.

33:49That's important. But if you're way too confident, maybe in the short term you'll gain,

33:53but in the long term you won't grow.

33:54- Very good point. So I can't really disagree with that. And to me, even when I took on jobs,

34:00I always felt people say, "Well, what point are you confident enough?" And I came to sort of

34:05believe, again, a theme of my beliefs that if I was willing to ask lots of questions and understood

34:10enough, that's all I needed to know. - Let me ask you about your husband

34:15a little bit. - Oh.

34:16- So you write in the book. You write in the book. He's just jumping around. Like I said,

34:21I'm a bit of a romantic. So how did you meet your husband?

34:23- So I met my husband when I was 19 years old. So I was a young kid. And I met him when I had a

34:32General Motors scholarship. So I was at Northwestern University through my first two years,

34:37had a lot of loans, financial aid. And a professor said, "Hey, you should sign up for this

§03Transcript · 34:43–52:02

34:43interview. They're looking to bring forward diverse candidates through their management track.

34:47Now, these programs don't exist anymore like that. They will pay your tuition,

34:51your room and board, your expenses at Northwestern, other Ivy League schools,

34:55these very expensive schools. And I think you'd be a good fit." I am eternally thankful for that

35:01advice. I went and I interviewed. I actually got the scholarship. I mean, without it, I'd have

35:06graduated with hundreds of thousands of dollars of debt. So part of that was in the summer,

35:11I had to work in Detroit. I lived a little room by a cement plant. Not theirs, but I mean,

35:16that's all I could afford. - Very romantic.

35:18- Very, very romantic. And the person who owned the house said, "Hey, I'm having a party. You're

35:22not invited. I'm going to fix you up with someone tonight." And that turned out to be my husband.

35:28And so it was a blind date is how we very first met.

35:31- And then it was over. The story was written. - Yep.

35:35- If it's okay, just zoom out to, you mentioned power and good power a few times. So if we can

35:42just even talk about it. Your book is called "Good Power, Leading Positive Change in Our Lives,

35:46Work, and World." What is good power? What's the essence of good power?

35:50- Yeah. So the essence of it would be doing something hard or meaningful, but in a positive

35:57way. I would also tell you, I hope one day I'm remembered for how I did things, not just for

36:05what I did. I think that could almost be more important. And I think it's a choice we can all

36:09make. So the essence to me of good power, if I had a contrast, good to bad, let's say, would be that

36:15first off, you have to embrace and navigate tension. This is the world we live in. And

36:22by embracing tension, not running from it, you would bridge divides that unites people,

36:28not divides them. It's a hard thing to do, but you can do it. You do it with respect,

36:33which is the opposite of fear. A lot of people think the way to get things done is fear.

36:37And then the third thing would be, you got to celebrate some progress versus perfection.

36:44Because I also think that's what stops a lot of things from happening. Because if you go for

36:48whatever your definition of perfect is, it's either polarization or paralyzation. I mean,

36:54something happens in there versus no, no, no. Don't worry about getting to that actual exact

37:01endpoint. If I keep taking a step forward of progress, really tough stuff can get done.

37:06And so my view of that is like, honestly, I hope it can, I said it's like a memoir with purpose.

37:12I'm only doing it. It was a really hard thing for me to do because I don't actually talk about all

37:17these things. And I had to, nobody cares about your like scientific description of this. They

37:22want the stories in your life to bring it alive. So it's a memoir with purpose. And in the writing

37:27of it, it became the power of me, the power of we, and the power of us. The idea that you build a

37:33foundation when you're young, mostly from my work life, the power of we, which says, I kind of,

37:40in retrospect, could see five principles on how to really drive change that would be done in a

37:47good way. And then eventually you could scale that, the power really of us, which is what I'm

37:52doing about finding better jobs for more people now that I co-chair an organization called 110.

37:58So that essence of navigate tensions, do it respectfully, celebrate progress,

38:06and indulge me one more minute, these sort of, again, it's retrospect that I didn't know this

38:14in the moment. I had to learn it. I learned it. I am blessed by a lot of people I worked with and

38:18around. But some of the principles, like the first one says, if you're going to do something,

38:27change something, do something, you got to be in service of something. Being in service of

38:34is really different than serving, super different. And like, I just had my knee replaced

38:39and I interviewed all these doctors. You can tell the difference that the guy who's going to do a

38:44surgery, hey, my surgery is fine. I really don't care whether you can walk and do the stuff you

38:47wanted to do again, but because my surgery is fine. Your hardware is good. I actually had some

38:52trouble. And I had a doctor who was like, you know, this doesn't sound right. I'm coming to you.

38:56The surgery was fine. It was me that was reacting wrong to it. And he didn't care until I could

39:03walk again. Okay. There's a big difference in those two things. And it's true in any business

39:07you have. A waiter serves your food. Okay. He serves his food. He did his job. Or did he care

39:13he had a good time? So that thought to be in service of, it took me a while to get that,

39:18like to try to write it, to get that across. Cause I think it's like so fundamental.

39:21If people were really in service of something, you got to believe that if I fulfill your needs

39:28at the end of the day, mine will be fulfilled. And that is that essence that makes it so different.

39:35And then the second part, second principle is about building belief, which is I got to hope

39:40you'll voluntarily believe in a new future or some alternate reality. And you will use your

39:45discretionary energy versus me ordering you. You'll get so much more done. Then the third

39:50change and endure. We kind of talked about that earlier, focus more on the how and the skills.

39:56And then the part on good tech and being resilient. So anyways, I just felt that

40:03like good tech, everybody's a tech company. I don't care what you do today.

40:06And there's some fundamental things you got to do. In fact, pick up today's, any newspaper, right?

40:12Chat GPT. You're an AI guy. All right. I believe one of the tenants of good tech is,

40:18it's like responsibility for the longterm. It says, so if you're going to invent something,

40:23you better look at its upside and its downside. Like we did quantum computing.

40:27Great. A lot of great stuff, right? Materials development, risk management calculations,

40:33endless lists one day. On the other side, it can break encryption. That's a bad thing.

40:38So we work equally hard on all the algorithms that would sustain quantum. I think with chat,

40:44okay, great. There's equal in, there are people working on it, but like, okay,

40:50the things that say, hey, I can tell this was written with that, right? Because the implications

40:56on how people learn, right? If this is not a great thing, if all it does is do your homework,

41:00that is not the idea of homework as someone who liked to study so hard. But anyways, you get my

41:05point. It's just the upside and the downside. And that there could be a much larger implications

41:08that are much more difficult to predict. And it's our responsibility to really work hard to figure

41:14that out. I was talking to AI ethics a decade ago, and I'm like, why won't anybody listen to us?

41:20That's another one of those values things that you realize, hey, if I'm going to bring technology in

41:24the world, I better bring it safely. And that to me comes with when you're an older company that's

41:30been around, you realize that society gave you a license to operate and it can take it away.

41:34And we see that happen to companies. And therefore you're like, okay, like why I feel so strong about

41:41skills. Hey, if I'm going to bring in, it's going to create all these new jobs, job dislocation,

41:45then I should help on trying to help people get new skills. Anyways, that's a long answer to what

41:50good tech, but the idea that there's kind of in retrospect, a set of principles you could look at

41:57and maybe learn something from my sort of rocky road through there.

42:01But it started with the power of we, and there's that big leap, I think that propagates through

42:06the things you're saying, which is the leap from focusing on yourself to the focusing on others. So

42:11that having that empathy, you've said at some point in our lives and careers, our attention

42:16turns from ourselves to others. We still have our own goals, but we recognize that our actions

42:22affect many, that it is impossible to achieve anything truly meaningful alone. So it's to you,

42:28I think maybe you can correct me, but ultimate good power is about collaboration. And maybe

42:38in large companies, like delegation on great teams.

42:42The ultimate good power is actually doing something for society. That would be my

42:45ultimate definition of good power, by the way.

42:46So it's about the results of the thing.

42:48Yeah, but how it's done, right? The how it's done. And so, you know, when you said a leap,

42:56do you think people make a leap when they go from thinking about themselves to others?

43:00Do you think it's a leap or do you think it kind of just is a sort of slow point?

43:04I think the leap is in deciding that this is, it's like deciding that you will care about others.

43:13That this is, it's like a leap of going to the gym for the first time. Yes, it takes a long time

43:17to develop that and to actually care, but that decision that I'm going to actually care about

43:22other human beings. Yeah. I think, or at least, like, yeah, it just feels like a deliberate action

43:28you take of empathy.

43:29Yeah, because sometimes I think it happens a little, it's maybe not as deliberate. Yeah,

43:32it's a little bit more gradual because it might happen because you realize that, geez,

43:36I can't get this done alone. So I got to have other people with me. Well, how do I get them

43:40to help me do something? So I think it does help happen a little bit more gradually. And as you

43:45get more confident, you start to not think so much that it's about you. And you start to think

43:50about this other thing you're trying to accomplish. And so that's why I felt it was a little more

43:55gradual. I also felt like I can remember so well, you know, this idea that, again, now we're in the

44:0480s, 90s, I'm a woman, I'm in technology. And I was down in Australia at a conference.

44:11And I gave this great speech, again, me, power of me, you know, I'm thinking I give this great

44:17speech, financial services, this guy, man walks up to me after I think he's going to like ask me

44:21some great question. And he said to me, I wish my daughter could have been here. And in that moment,

44:27and I in at that point, up to then, I'd always been about, look, please don't notice I'm a

44:33woman, do not notice that I am, I just want to be recognized for my work. Crossing over from me to

44:39we, like it or not, I was a role model for some number of people. And maybe I didn't want to be,

44:46but that didn't really matter. So I could either accept that and embrace it or not. I think it's

44:51a good example of that transition. I did have a little epiphany with that happening. And then I'm

44:55like, okay, because I would always be like, no, I won't go on a women's conference. I won't talk

44:59here. I won't, you know, no, no, no. But then I sort of realized, wait a second, you know,

45:04that old saying, you cannot be what you cannot see. And I said to myself, well, oh, wait a second.

45:11Okay. I am in these positions I have a responsibility to, and it's to others. And

45:17that's what I meant. I felt like it can be somewhat gradual that you come and you may

45:20have these like pivotal moments that you see it, but then you feel it and you sort of move over

45:25that transom into the power of we. - You're one of the most powerful tech leaders ever.

45:31And as you mentioned the word power, you know, the old saying goes, power corrupts and absolute

45:37power corrupts. Absolutely. Was there an aspect of power that was, that you had to resist

45:48its ability to corrupt your mind to sort of delude you into thinking you're smarter than you are,

45:55that kind of, all the ways. - That's very dangerous. I agree with, I mean,

45:58I think you got to be careful who you surround yourself with. That's how I would answer that

46:02question. Right. And people who will hold the mirror up to you can be done in a very positive

46:06way, by the way, it doesn't mean, you know, but that we're sycophants, you cannot have that.

46:11Right. I mean, it's like, I always say to someone like, hey, listen to me, tell me,

46:15I mean, tell me what would make me better or do something. Or I have a husband that'll do that for

46:19me quite easily, by the way. He'll always tell me. - He's the one that kind of gives you some

46:23criticism sometimes. - I have been surrounded myself with a number of people that will do that.

46:26And I think you have to have that. I had a woman that worked with me for a very long time. And

46:32at one time we were competitors. And then at some point she started to work for me and stayed with

46:36me for quite a while. And she was one of the few people that would tell me the truth in, you know,

46:40sometimes I'm like, enough already. And she'd be like, do not roll your eyes at this. And you

46:46absolutely have got to have that. And I think it also comes, it'll go back to my complete

46:51commitment to inclusion and diversity, 'cause you gotta have that variety around you. You'll get a

46:56better product and a better answer at the end of the day. And so that, to resist that allure,

47:01I think it's around about who you surround yourself with. I, current politics would say that too.

47:06- So you, you write about, and in general you value diversity a lot. So

47:10can you speak to almost like philosophically, what does diversity mean to you?

47:14- Diversity to me means I'm gonna get a better product, a better answer. I value different views.

47:22And so it's inclusion. So I always say inclusion, diversity is a number, inclusion is a choice.

47:29And you can make that choice every single day. - That's a good line.

47:33- I really believe, and I've witnessed it, that I've had, when my teams are diverse,

47:39I get a better answer. My friends are diverse, I have a better life. I mean, all these kinds of

47:43things. And so I also believe it's like no silver thread, there's no easy way. You have to

47:49authentically believe it. I mean, do you authentically believe that diversity is a good thing?

47:54- Yeah, but I believe that diversity, like broadly-- - A thought, I very broadly define it.

47:59- Yeah, so like there's, sometimes the way diversity is looked at, the way diversity is

48:05used today is like surface level characteristics, which are also important, but they're usually

48:10reflective of something else, which is a diversity of background, a diversity of thought, a diversity

48:14of struggle. Some people that grew up middle-class versus poor, different countries, different

48:22motivations, all of that. Yeah, it's beautiful when different people from very different walks

48:26of life get together. Yeah, it's beautiful to see. But sometimes it's very difficult to get

48:31at that on a sheet of paper of the characteristics that defines the diversity.

48:37- I know, so it is. It's just like, oh, I can't hire exactly for, or if I'm trying to,

48:41but I do know one thing, that when people say, well, I can't find these kind of people I'm

48:46looking for, I'm like, you're just not looking in the right places.

48:48- Right, you have to open up-- - You gotta really open up new pools.

48:50- Yeah, you have to think, like everybody, you don't have to have a PhD, just like you said.

48:55- I'm sorry to say it. I know it's very valuable what you have, trust me, but--

48:59- Well, just like you said, it could even be a negative. So you mentioned,

49:04like for good power, you are a CEO, you were a CEO for a long time of a public company.

49:10Were there times when there was pressure to sacrifice what is good for the world

49:16for the bottom line in order to do what's good for the company?

49:20- There were a lot of times for that. I mean, I think every company faces that today in that

49:25I always felt like there's so much discussion about stakeholder capitalism, right? Do you just

49:31serve a shareholder or do you have multiple? I have always found, and I've been very vocal about

49:36that topic, that when I participated, the Business Roundtable wrote up a new purpose statement that

49:40had multiple stakeholders. I think it's common sense. Like if you're gonna be 100 years old,

49:45you only get there because you actually do at some time balance all these different stakeholders

49:50in what it is that you do, and short-term, long-term, all these trade-offs. And I always say

49:55people who write about it, they write about it black and white, but I have to live in a gray

49:59world. Nothing I've ever done has been in a black and white world, hardly. Maybe things of values

50:04that I had to answer, but most of it is gray. And so I think back lots of different decisions.

50:10I think back, as you would well remember, you're a student of history. IBM was one of the really the

50:17originators of the semiconductor industry, and certainly of commercializing the semiconductor

50:21industry. Great R&D and manufacturing, but it is a game of volume. And so when I came on,

50:28we were still manufacturing R&D and manufacturing our own chips. We were losing a lot of money,

50:35yet here we had to fight a war on cloud and AI. And so, okay, now shareholders would say,

50:41"Fine, shut it down." Okay, those chips also power some of the most important systems that power

50:46these, the banks of today. If I just shut it down, well, what would that do? And so, okay,

50:52the answer wasn't just stop it. The answer wasn't just keep putting money into it. The answer was,

50:58and we had to kind of sit in an uncomfortable spot till we found a way. I mean, it's going to sound

51:02so basic, but you as an engineer understand it. We had to separate. It was a very integrated process

51:09of research, development, and manufacturing. And you'd also, you'd be perfecting things in

51:13manufacturing. And these were very high performance chips. We had to be able to separate those. We

51:19eventually found a way to do that so that we could take the manufacturing elsewhere and we would

51:24maintain the R&D. I think it's a great example of the question you just asked, because people

51:31would have applauded, others would have been, "This is horrible." Or we had a financial roadmap

51:37that had been put in place that said, "I'll make this amount of EPS by this date." There came a

51:41time we couldn't honor it because we had to invest. And so, there's a million of these decisions. I

51:47think most people that run firms, any size firm, they're just one right after another like that.

51:53And you're always making that short and long tension of, "What am I giving up?"

51:58What is that partnership like with the clients? Because you work with gigantic businesses.

52:02And what's it like sort of really forming a great relationship with them, understanding

§04Transcript · 52:11–1:09:34

52:11what their needs are, being in service of their needs?

52:14Yeah. Very simple. Honor your promises. And that happens over time. I mean, in service of,

52:22which is often why you can work with competitors, because if you are really in service of you and

52:27you need something, it takes two of us to do it, that becomes easier to do. Because I really,

52:32we both care, you get what you needed. And so, I can remember during one of the times I was on a

52:38European trip and at the time, a lot of, and this is still true, about views about technology and

52:46national technology giants and global ones and the pros and the cons. And countries want their

52:51own national champions, quite obvious. I mean, if I'm France or Germany. And there was a lot

52:56of discussion about security and data and who was getting access to what. And I can remember being

53:01in one of the, I was with Chancellor Merkel, I had met her many times. She's very well prepared,

53:06very well prepared every time, as you would know. And I started to explain all these things about

53:12why, how, you know, how we don't share data, how, who it belongs to. Our systems never had back

53:18doors. And she sort of stopped me. Like, you're one of the good guys. Like, stop. Now, that wasn't

53:24about me personally. She's talking about a company that's acted consistent with values for decades,

53:30right? So to me, how you work with those big kind of clients is you honor your promises. You say

53:37what you do and you do what you say. And you act with values over a long period of time. And that,

53:42to me, people say we're valued. It is not a fluffy thing. It is not a fluffy thing. It is a,

53:46I mean, if I was starting a company now, I'd spend a lot of time on that. On,

53:53you know, why we do what we do and why some things are tolerable and something,

53:58you know, what's your fundamental beliefs are. And many people sort of zoom past that stage,

54:03right? It's okay for a while. - And never sacrifice that.

54:07- You would never sacrifice that. I don't think you can.

54:10- So there was a lot of pressure when you took over as CEO and there was 22 consecutive quarters

54:16of revenue decline between 2012 and the summer of 2017. So it was a stressful time. Maybe not,

54:22maybe you can correct me on that. So as a CEO, what was it like going through that time,

54:28the decisions, the tensions in terms of investing versus making a profit?

54:33- I always felt that, that sense of urgency was so high. And even if I was calm on the outside,

54:41because you have one of the world's largest pensions. So, so many people depend on you.

54:46You have a huge workforce. They're depending on you. You have clients whose businesses don't run

54:50if you don't perform, et cetera. And shareholders, of course, right? And so, but I also am really

54:59clear. This was perhaps the largest reinvention IBM ever had to undertake. I had a board that

55:04understood that. In fact, some people, some of the headlines were like, this is existential,

55:09right? I mean, nobody gives you a right to exist forever. And there aren't many texts. You're the

55:13student of it. They are gone. They are all gone. And so if we didn't reinvent ourselves,

55:20we were going to be extinct. And so now, but you're big and it's like changing, what's that old

55:26saying? Can I change the wheels while the train's running or something like that? Or the engines

55:31while the plane's flying? And that's what you have to do. And that took time. And so, you know,

55:36Lex, do I wish it would have been faster? Absolutely. But the team worked so hard. And in

55:43that timeframe, 50% of the portfolio was changed. It's a very large company. And if you would,

55:51I also divested $10 billion to businesses. So if you would look at that growth rate without

55:56divestitures and currency, which now today everyone talks about currency. Back then,

56:01we were the only international guy. Net of divestitures and currency, the growth was flat.

56:07Is flat great? No, but flat for a big transformation. I was really proud of the

56:12team for what they did. That is actually pretty miraculous to have made it through that. I had

56:17my little nephew one day and he would see on TV occasionally when there'd be criticism,

56:21and he'd say, "You know, Auntie, does it make you mad when they talk mean?"

56:25CB: Yeah.

56:26DRH: And I just looked at him and I said, "How do you feel?" I said, "Look,

56:30I'm doing what has to be done." And I happened to be the one there. And if you have great conviction,

56:37and I did, a great conviction, I knew it was the right thing. I knew it would be needed for IBM to

56:43live its second century. And my successor, they have picked up, gone forward. I mean, you go back,

56:49we did the acquisition of Red Hat. I mean, we had to find our way on cloud, right? We were

56:53late to it. So we had to find our way. And eventually that led us to hybrid cloud.

56:57We did a lot of work with Red Hat back in 2017. Oh, we'd always done a lot of work with them.

57:03Actually, we were one of the first investors when they were first formed. But that was 2018.

57:08We took quite a hit for even--oh, it was the largest to then software acquisition ever.

57:14But it is the foundation, right, of what is our hybrid cloud play today and doing very, very well.

57:20But it had to take a short-term hit for that, right? Short-term hit for a very large $34 billion

57:26acquisition. But for all of us, it was the right thing to do. So I think when you get really

57:32centered on, you know it's the right thing to do, you just keep going, right?

57:35So the team had the vision, they had the belief, and everything else, the criticism doesn't matter.

57:39So we didn't always have exactly the right--this wasn't a straight arrow. But stay down,

57:45you know you're right, keep going. Okay, made a mistake. There's no bad mistake as long as

57:48you learn from it, right? And keep moving. So yes, did it take longer, but we are the largest

57:53that was there. Could you maybe just on a small tangent, educate me a little bit? So Red Hat

57:58originally is Linux, open source distribution of Linux, but it's also consulting. Well, it's--

58:04A little bit of consulting, but it's mostly software distribution. It's mostly Linux.

58:07It was mostly software. Yeah, absolutely. Absolutely.

58:10So but today, IBM is very much, there's, you know--

58:14Services.

58:14Most IT services in the world is done by IBM. There's so many varied--so basically if you have

58:22issues, problems to solve in business, in the software space, IBM can help.

58:29Yes, and so in that my last year, our services business, we broke it into two pieces. And one

58:35piece was spun off into a company called Kindrel, which is managed outsourcing. Keeping things

58:41running, and they're off creating their own company. What IBM then retained is really the

58:45part I built with PWCC, the big consulting arm. And so today, the IBM of today in 2023 is,

58:53you know, at least ending 2022, was 30% consulting, and the other 70% would be,

58:58what would you consider software cloud AI? So hybrid cloud and AI is the other, and some

59:03hardware, obviously. Still, the mainframe is modernized, alive, and kicking, and still running

59:09some of the most important things of every bank you can think of practically in the world.

59:15And so that is the IBM of today versus perhaps, you know, and Red Hat is a big piece and an

59:23important part of that software portfolio. And they had some services with them for

59:27implementation, but it wasn't a very large part. And it's grown by leaps and bounds,

59:33you know, because originally the belief was everything was going to go to the public cloud.

59:36And at least many people thought that way. We didn't. In fact, I mean, we tried. We

59:44cured a public cloud company. We really tried to work it. But what we found was a lot of the

59:48mission critical work, it was tuned for consumer world. It wasn't tuned for the enterprise.

59:53So then time is elapsing here though, and you got to be at scale. And we didn't have

60:00any application. Remember, we're not an application company. So it wasn't like we had

60:04an office. We didn't have anything that like pulled things out to the cloud. And so as we

60:09look for what our best, what we really back to who you are, we really know mission critical work.

60:15We know where it lives today, and we know how to make it live on the cloud,

60:18which led us down hybrid cloud. You know, that belief that the real world would turn into,

60:23there'll be things on traditional that'll, you'll never move because it doesn't make sense.

60:27There'll be private clouds for, you know, have all the benefit of the cloud, but they just don't

60:32have, you know, infinite expansion. And then there'll be public clouds and you're going to

60:35have to connect them and be secure. And that's what took us down the path with Red Hat, that

60:40belief. - The structure of that is fundamentally different than something that's consumer facing.

60:44So the lesson you learn there is you can't just reuse something that's optimized for consumers.

60:49- Yeah, very interesting point. It doesn't mean consumer companies can't move up in the enterprise

60:52because obviously they have, right? But I think it's very hard to take something from the enterprise

60:56and come on down. - Sure.

60:58- And because it got to be simple, consumable, all the things we talked about already.

61:01- Plus you have to have the relationships with the enterprise.

61:03- Yeah, very different. Yeah. I mean, you know our history, right? At one time we had the PC business

61:08and, you know, the short answer to why we would not do that is it's a consumer facing business.

61:14We were good at the enterprise and that consumer business, A, highly competitive,

61:18got to be low cost, all the things that are not the same muscles necessarily of being in an

61:23innovation driven, you know, technology business. - Yeah, but what is now Lenovo, I guess that's

61:30what's just been done. - That's right, Lenovo acquired it.

61:31- They were extremely good at that, but not as good as you're saying as an enterprise.

61:37- Yeah, Lenovo's very good at their PC world, yes, and they can sell into the enterprise,

61:43right? But you as a consumer can go buy a Lenovo too. So look in China, right? Look in other places.

61:48So that's what I mean by consumer, you know, an end device. And that was a big decision because

61:52it would have been one of the last things that had our logo on it that sits in your hands, right? So

61:56when a new generation says, "Well, what does IBM do?" right? - Was that a difficult decision?

62:00Do you remember? - This is a long time ago now,

62:02it's like 2005. So they're all difficult because it's not only things, it's people.

62:08But it's back to knowing who you are is how I would sum that up as, right? And we were never

62:16great at making a lot of money at that. And you can remember originally it was IBM PC,

62:20then there were IBM clones, or they were called IBM clones back then as the field became highly,

62:26highly competitive. And as things commoditized, we often as they commoditize, we would move them

62:33out and move on to the next innovation level. - But because of that, it's not as public facing.

62:39- That's right. That's absolutely right. - Even though it's one of the most

62:41recognizable logos ever. - Yeah, isn't it true? That is very true.

62:44That is actually a very important point. And that is, you know, branding, as you say,

62:50one of the most recognizable and a very highly ranked brand strength around the world. And so

62:55that's a trade-off. I mean, I can't, you know, because there was a time you'd have something

63:02of IBM in your home or a cash register, as an example, you'd walk into a store, actually,

63:06they're still in places that went to Toshiba. - Can you speak to consulting a little bit? What

63:12does that entail? To train up, to hire a workforce that can be of service to all kinds of different

63:18problems in the software space, in the tech space. What's entailed in that?

63:22- I mean, you have to value a different set of things, right? And so you've got to always stay

63:28ahead. It's about hiring people who are willing to learn. It is about, at the same time, in my view,

63:36it's what really drives you to be customer-centric. - Maybe you can educate me. I think consulting is

63:43a kind of, you roll in and you try to solve problems that businesses have, like with expertise,

63:50right? - Okay. - Is that the process of consulting? - Somewhat, right? So, fair enough. When you say

63:56the word consulting, it's a really broad spectrum. I mean, I think people could be sitting here

64:00thinking it does any, it could be, I just give advice and I leave, to all the way to, I run your

64:06systems, right? And I think it's generally, people use the word to cover everything in that space.

64:12So we sort of fit in the spot, which is, we would come in and live at that intersection of business

64:17and technology. So yeah, we could give you recommendations and then we'd implement them

64:21and see them through, because we had the technology to go to the implementation and see them through.

64:24And at the time back then, that's what, there'd been five of those that had failed,

64:29that the companies had bought other consulting firms. And so we were, okay, that was the great

64:35thing about, I mean, the harrowing thing about it was, here, please go work on this. None of

64:38the others have ever succeeded before. And yet on the other hand, the great promise was, you could

64:43really, clients were dying at that time when we were doing that, to get more value out of their

64:48technology and have it really change the way the business worked. So I think of it as how to

64:52improve business and apply technology and see it all the way through. That's what we do today still.

64:56- Yeah, to see it all the way through. Yes. So let me say, it's almost like a personal question.

65:01So that was a big thing you were a part of that you led in 2002, that you championed and helped,

65:08I should say, negotiate the purchase of Monday, the consulting arm of PricewaterhouseCoopers

65:14for $3.5 billion. So what were some of the challenges of that that you remember,

65:19personal and business? - At that time, PW had to, really had to divest. And so they were in

65:29peril of going to IPO, right? So we sort of swept in at that point and said, and we'd been thinking

65:33about it a long time and started to work on that as an acquisition. So, kind of balancing which way

65:39would they go, IPO or acquisition. And so the challenges are obvious and part of it's why they

65:44went with us as an acquisition. Big difference to be a private firm than a public firm, very big.

65:49I can remember one of the guys, he asked somebody, "How long have you been with IBM?" And the person

65:53answered, "143 quarters." Okay, that's a little enlightening about a business model, right?

65:59So we had the challenges of being private versus public. You have the challenge of when you acquire

66:05something like that, as I say, you acquire hearts, not parts. They could leave. I mean,

66:10you could destroy your value by them leaving. They can walk right out the door. I mean, yes,

66:14you can put lots of restraints, but still, that you have there. And then we had to really build

66:20a new business model that people and clients would see as valuable and be willing to pay for.

66:26And so we had to do something that lived at that intersection and say that how this was unique is

66:31what we were doing. So you had the people aspect, you had that they were going to be public and they

66:37had always been private their whole life. And then you had the business model. So, and the others had

66:44all failed that had tried to do this. So yeah, it was a tough thing to do.

66:50What about the personal side of that? That was a big leap, step up for you. You've been at IBM

66:54for a long time. This is a big sort of leadership, like very impactful, large scale leadership

67:05decisions. What was that like? - So, unlike in my career earlier,

67:10where I said I was changing jobs, I said I wasn't comfortable, et cetera. So now here, fast forward

67:1510 years, and I'm like, okay, honestly, how I felt inside on one hand, I did what I learned,

67:21like inventory what you know how to do. Like you have some good strengths that could work here.

67:26The other part of me said, boy, this is really high profile. And I felt, and I can remember

67:32saying to someone like, this is going to kill me or catapult, probably nothing in between.

67:38- And that wasn't terrifying to you? That was okay? You were okay with that kind of pressure?

67:41- I was okay with that because I felt I knew enough, you know, like these things I had,

67:47and I'll tell you the one thing I felt I knew the best. Consultants of any, worth their weight,

67:56they really do care that they deliver for an end client. And I felt I understood service to a

68:04client so well, that what it meant to really provide value. So I knew we would have like

68:09something that I knew the PwC people, more than anything, wanted to deliver value to those clients

68:14they had, next to then developing their people, that those were like the really two things.

68:18And that I could, and I also knew they felt they could do better if they had more technology.

68:23And we did. So there really was a reason, you know, that I could really believe in. So I

68:28authentically believed back to that point. And I also felt I had built some of those skills to be

68:33able to do that. But I wouldn't call it terrifying, but make no mistake, Lex, it was very hard. And

68:44it turned out to be extremely successful. By the time we ended, it was worth 19 and a half,

68:48well, the time I stepped, I ran it for, oh goodness gracious, quite a long time. I'm

68:53going to say seven or eight, nine years. And we were 19 and a half billion dollars.

68:58It made 2.7 billion in profit. It was very consequential to IBM. But the fact that it was

69:04consequential is also very, I mean, there was a time as we moved through it, I can even remember

69:10it. We just weren't meeting the goals as fast as we should. And some of it was clients were like,

69:15oh, now you're IBM. So, I mean, some things I knew would happen, but they happened so much faster.

69:21It'd be things like clients would say, oh, IBM cares about a quarter. So let's negotiate every

69:24quarter on these prices. And, you know, when they were private, they didn't have these issues. Well,

69:30that had an impact on margins really fast. And so that ability-

69:34So you picked up a lot of challenges.

§05Transcript · 1:09:35–1:24:02

69:35You pick them up right away. And I thought, oh boy, I mean, if I don't get this turned around,

69:41this is really a problem. And the team learned a lot of lessons. I mean, I learned people I had to

69:46move out, that I learned that when people don't believe they can do something, they probably won't

69:51do it. So, you know, we wanted to run the business at a certain level. I really did have some great

69:56leaders, but they didn't really believe it could do that. And I finally had to come to terms with,

70:00if you don't really believe in something, you really aren't going to probably make it happen

70:03at the end of the day. And so we would change that. We would have to actually get some more

70:09help to help us on doing so. But then it turned. And I can remember the day that we started

70:14really getting the business to hum and start to, it was almost like, finally. And I gave the team

70:20this little plaque, this little, it was kind of corny, paperweight thing. And I'm going to believe,

70:27remember if it was Thomas Edison, and he said, "Many of life's greatest failures are people who

70:33gave up right before they were going to be successful." And it's so true. I mean, there

70:40was also a governor of Texas who's passed, but she had said, someone said, "What's the secret

70:45of your success?" And she said, "It's passion and perseverance when everyone else would have given

70:50up." And I feel that's what that taught me. That taught me, like, no matter how bad this gets,

70:56you are not giving up. Now you can't keep doing the same thing, like the doctor, this hurts,

71:01oh, then stop doing it. You can't keep doing the same thing. We had to keep changing till we found

71:06our right way to get the model to work right. And client work, we never had an issue and kept so

71:14many of the people. And now we are 25 years almost later, and a number of them run parts of the IBM

71:21business still today. So it's that old Maya Angelou saying, when you say, "What do I remember?"

71:27They'll say, "You won't remember the specifics of this, but you'll remember how you felt." And

71:32that's kind of how I feel. And I think they do too, the whole team does, of that. Like,

71:35I'll get anniversary notes still on that, you know, when you've been through something like

71:40that together with people. So during the acquisition, the way you knew the people,

71:46it's the right team are the ones that could believe that this consulting business can grow,

71:52can integrate with IBM and all that. - Yeah, I was lucky. Look, I did things

71:56that helped that. I mean, I knew that people joining us would feel more comfortable if they

71:59had people leading it that they recognized, et cetera. But again, I learned those that didn't

72:06then, I eventually had to take some action out. But PWCC had a lot of really dedicated leaders

72:12to it and I give them a lot of credit. - Well, it's amazing to see a thing that

72:17kind of start at that very stressful time and then it turns out to be a success.

72:22- Yeah. - That's just beautiful to see. So

72:24what about the acquisition itself? Is there something interesting to say about the,

72:28like, what you learned about maybe negotiation? Because there's a lot of money involved too.

72:33- To me, it was a win-win and we both actually cared that customers got value. So there was this

72:39like third thing that had a benefit, not them, there was this third thing. And then next to that--

72:45- I like how you think that people would have the wisdom or what it takes to have great

72:50negotiation. But yeah, so it's a win-win is one of the ways you can have successful negotiation.

72:54- But it's like obvious to even say that, right? I mean, if you can, back to being in service of

72:58something, we were both in service of clients. So in and then, you know, I always say,

73:05when you have a negotiation with someone, okay, both parties always kind of walk away a little

73:09bit. Okay, that's good. If they both walk away going, "God, I should have got a little bit more.

73:14Okay, but it's okay if I should have got." Okay, they're both a little fussy. When one walks away

73:18and thinks they did great and the other one did horrible, they're usually like born bad. I mean,

73:22because they never worked that way. And I've always felt that way with negotiations that

73:29you push too far down and you usually will be sorry you did that, you know?

73:35- So don't push too far. I mean, that's ultimately what collaboration and empathy

73:40means is you're interested in the long-term success of everybody together versus like

73:45your short-term success. - And then you get the discretionary

73:47energy from them versus like, "Okay, you screwed me here. I'm done," right?

73:50- So let's even rewind even back. - Oh no. Oh no. Do you feel like this is

73:57a nostalgia interview? Oh no. - Let me just ask the romantic question.

74:01What did you love most about engineering, computer science, electrical engineering,

74:04so in those early days from your degree to the early work?

74:08- I love that logic part of it, right? And you do get a sense of completion at some point when

74:13you reach certain milestones that, you know, like, yes, it worked or yes, that finite answer to that.

74:20So that's what I loved about it. I loved the problem-solving of it.

74:22- Computing, what led you down that path? Computing in general, what made you fall in

74:27love with computing, with engineering? - It's probably that back to that desire,

74:32wanting to know how things work, right? And so that's like a natural thing. You know,

74:36math, I loved math for that reason. I always wanted to study how did that, you know,

74:39how did it get that to work kind of thing? So it goes back in that time. But I did start,

74:45when I went to, when I started at Northwestern, I was already in the engineering school,

74:48but my first thought was to be a doctor, that that was far more noble, that I should be a

74:51medical doctor until I could not pass human reproduction as a course. And I thought the

74:56irony that I could not, I'm like, I got all these colored pencils, I got all these pictures,

75:00this is not working out for me. - I'm gonna stick to math.

75:02- It was the only course in my four-year college education I had to take pass/fail,

75:07I guess, otherwise I risked, you know, impairing my grade point average.

75:11- Engineering it is. So, but after about 10 years, you jumped from the technical

75:16role of systems engineer to management, to a leadership role. Did you miss at that time

75:22the sort of the technical direct contribution versus being a leader, a manager?

75:26- That's an interesting point. Like I say, I've always been sort of a doer leader, you know, so.

75:31- So you never lost that. - I never really did. Even,

75:35you know, and I think this is really important for today. The best way people learn is experientially,

75:41I think. Now you may, that's being a generalization because there are people

75:44can learn all different ways, right? So I've done things like with my whole team,

75:50they all had to learn how to build cloud applications and call the code off. And so,

75:55you know, I don't care what your job is, write code, you know? And I remember when we were

76:01trying to get the company to understand AI, we did something called a cognitive jam. Okay,

76:06there's a reason we picked the word cognitive, by the way, instead of AI. Today we use the word AI.

76:10It was really symbolic. It was to mean, this is to help you think, not replace your thinking.

76:17There was so much in the zeitgeist about AI being a bad thing at that time. So that was why we picked

76:22a mouthful of a word like cognitive. And it was like, no, no, this is to help you actually. So

76:28do what, you know, do what you do better or do something you haven't yet learned. And we did

76:32something called the cognitive jam, but the whole point was everybody in the company could volunteer,

76:36get on a team. You either had to build something that improved one of our products, or did

76:41something for a client, or did a social, solved a social issue with AI. And again, this goes back

76:48now, 10 years, and people did things from bullying applications to, you know, railroad stuff to

76:55whatever it was, but it got like a hundred thousand people to understand, you know, viscerally what is

77:01AI. So that's a long answer to my belief around experiential. And so do you ever give it up?

77:07I don't think so. Cause I actually think that's pretty good to get your hands dirty

77:10in something. You know, you can't do it, you know, depending what you're doing,

77:14your effort to do that will be less, but.

77:16So even a CEO, you try to get your hands dirty a little bit.

77:20I've played, I mean, still, I'm not saying I'm any good at any of it anymore, but.

77:25But to build up intuition.

77:26But it's that, yeah, it's that really understand, right? And not be afraid of.

77:30Yeah. Like we mentioned at the beginning, IBM research has helped catalyze some of the

77:35biggest accomplishments in computing and artificial intelligence history. So D-Blue,

77:41IBM D-Blue versus Kasparov chess match in '96 and '97. Just to ask kind of like what your

77:49perception is, what your memory is of it, what is that moment? Like this seminal moment, I believe

77:55probably one of the greatest moments in AI history, when the machine first beat a human at a

78:01thing that humans thought.

78:02You make a very interesting point, because it is like one of the first demonstrations of using a

78:07game to like bring something to people's consciousness, right? And to this date,

78:10people use games, right, to demonstrate different things. But at the time, it's funny. I didn't

78:18necessarily think of it so much as AI, and I'll tell you why. I was, and I'm not a chess player,

78:23you might be a chess player, so I'm not expert at it. But I think I understand properly of chess,

78:27that chess has got a finite number of moves that can be made. Therefore, if it's finite,

78:32really what's a demonstration of a supercomputing, right? It's about the amount of time and how fast

78:37it can crunch through to find the right move. So in some ways, I thought of it as almost a

78:42bigger demonstration of that. But it is absolutely, as you said, it was a motivator, one of the big

78:48milestones of AI, because it put in your consciousness that it's man in this other

78:53machine, right? Doing something.

78:55So you saw it as just a challenging computation problem, and this is a way to demonstrate hardware

79:00and software computation at its best.

79:01Yes, I did.

79:02But the thing is, there is a romantic notion that chess is the embodiment of human intellect,

79:09I mean, intelligence, that you can't build a machine that can beat a chess champion in chess.

79:14See, and I was blessed by not being a chess expert, so it wasn't like,

79:18"Oh, I'm not a chess player."

79:18It's just a computation problem.

79:19It was a computation problem to me.

79:21Well, that's probably required to not be paralyzed by the immensity of the task,

79:26so that this is just solvable. But it was a very, very, I think that was a powerful moment,

79:32so speaking just as an AI person, that reinvigorated the dream.

79:39You were a little kid back then, though, right? At 95? You have to be, like, were you...

79:43Do you remember it, actually, at the moment?

79:45Yeah, yeah, yeah, yeah, yeah.

79:47What did you think at the moment about it?

79:49Um, it was awe-inspiring, because, especially sort of growing up in the Soviet Union,

79:59you think, especially of Garry Kasparov and chess, like, your intuition is weak about those things.

80:06I didn't see it as computation. I thought of it as intelligence, because chess,

80:13for a human being, doesn't feel like computation.

80:16It feels like some complicated relationship between memory and patterns and intuition

80:23and guts and instinct and all of those, like...

80:28If you watch someone play, that's what you would conclude, right?

80:30So to see a machine be able to beat a human, I mean, you get a little bit of that with Chagy-Pity,

80:37now, it's like, language was to us humans the thing that we kind of...

80:42Surely, the poetry of language is something only humans can really have.

80:47It's going to be very difficult to replicate the magic of

80:51natural language without deeply understanding language.

80:55But it seems like Chagy-Pity can do some incredible things with language

80:59in natural language dialogue.

81:04But that was the first moment in AI.

81:07Through all the AI winters from the '60s, the promise of the...

81:10It was, wow, this is possible for a simple set of algorithms

81:17to accomplish something that we think of as intelligence.

81:20So that was truly inspiring, that maybe intelligence,

81:23maybe the human mind is just algorithms.

81:25That was the thought at the time.

81:27And of course, now, the funny thing, what happens is the moment you accomplish it,

81:32everyone says, "Oh, it's just brute force algorithms. It's silly."

81:36And this continues.

81:37Every single time you pass a benchmark, a threshold to win a game, people say,

81:43"Oh, well, it's just this."

81:45And I think that's funny.

81:49And there's going to be a moment when we're going to have to contend with AI systems that

81:54exhibit human-like emotions and feelings.

81:59And you have to start to have some difficult discussions about,

82:03well, how do we treat those beings?

82:05And what role do they have in society?

82:07What are the rules around that?

82:08And this is really exciting because that also puts a mirror to ourselves to see,

82:13okay, what's the right way to treat each other as human beings?

82:17Because it's a good test for that.

82:19- It is, because I always say it's a reflection of humanity.

82:23I mean, it's taught by what man...

82:26Bad stuff in the past, you'll teach it bad stuff for the future.

82:29Which is why I think efforts to regulate it are a fool's errand.

82:33You need to regulate uses.

82:35Because it's not the technology itself is not inherently good or bad,

82:39but how it's used or taught can be good or bad for sure.

82:42And so that's, to me, will unveil now a whole different way of having to look at technology.

82:49- What about another magical leap with the early days of Watson

82:52with beating the Jeopardy challenge?

82:54What was your experience like with Watson?

82:56And what's your vision for Watson in general?

82:57- Yeah, and it was really inspired by first chess, right?

83:01And Kasparov, and then you come forward in time.

83:04And I think what Watson did, because you used a really important word,

83:09AI had kind of waxed and waned in these winners, right?

83:12In and out, in and out, popular or not, more money, less money, in and out,

83:17confidence, no confidence.

83:18And so I think that was one of the first times it brought to the forefront of people like,

83:24"Whoa, I could humanized it."

83:26Because here it is playing against these two gentlemen.

83:29And as you did lose at first, and then finally won at the end of the day.

83:34And what it was doing is making you say, "Hey, natural language."

83:39It's actually understanding natural language.

83:40It's one of the first demonstrations of natural language support

83:43and bit of reasoning over lots of data, right?

83:47And so that it could have access to a lot of things,

83:50come up with a conclusion on it.

83:51And to me, that was a really big moment.

83:54And I do think it brought to the conscious of the public,

83:57and in good ways and bad, because it probably set expectations very high of like,

84:00"Whoa, what this could be."

84:02And I still do believe that it has got the ability to change

§06Transcript · 1:24:07–1:33:41

84:07and help us, man, make better decisions.

84:11That so many decisions are not optimal in this world.

84:14Even medical decisions.

84:16And it's right or wrong what took us down a path of healthcare first with our AI.

84:21And we took many pivots.

84:23And I think there's a really valuable lesson in what we learned.

84:26One is that, I actually don't think the challenges are the technology.

84:29Yes, those are challenges.

84:30But the challenges are the people challenges around this, right?

84:34So do people trust it?

84:36How will they use it?

84:38I mean, I saw that straight up with doctors and like,

84:43meaning they're so busy in the way they've been taught to do something.

84:46Do they really have time to learn another way?

84:49I saw it was a mistake when you put it on top of processes that didn't change,

84:53kind of like paving a cow path.

84:54- Mm-hmm. - Didn't work.

84:56I mean, it was all human change management around it that were really its biggest challenges.

85:01And another valuable lesson, we picked, back to usage, you think of IBM as moonshots.

85:06We picked really hard problems to start with.

85:08I think you see a lot of technology now starts with really simple problems.

85:12And by that, it probably starts to build trust because I start little.

85:17It's like, oh, I'm not ready to outsource my diagnosis to you,

85:20but I'll get some information here about a test question.

85:23So very different thinking.

85:25So a lot of things to learn.

85:26We were making a market at the time.

85:28And when you make a market, choice of problem you work on gets to be very important.

85:33When you're catching up, well, then it's a scale game.

85:36So very different thing.

85:37But Watson proved, I think, I mean, I hope I'm not being too...

85:44I think Watson brought AI back out a winner for the world.

85:47And that since then, there's just been one company after another

85:50and innovations and people working on it.

85:52And I have no regrets of anything that we did.

85:55We learned so much.

85:56I mean, we probably rebuilt it many times over.

85:58It made it more modular.

86:00And today, to IBM, a Watson is more about AI inside of a lot of things,

86:05if you think of it that way, which is more like an ingredient versus it's a thing in and of itself.

86:10And I think that's how it'll bring its real value.

86:12More as an ingredient, and it's so badly needed.

86:15And even back then, the issue was so much data.

86:18What do you ever do with it?

86:19You can't get through it.

86:20You can't use it for anything.

86:21You know this well, it's your profession.

86:22So we have to have it.

86:26So that's going to propel it forward.

86:28- So it's part of the suite of tools that you use when you go to enterprise

86:32and you try to solve problems.

86:34- Yeah, so AI for security, AI in automated operations, AI in your robotics,

86:38AI on your factory floor, you know what I mean?

86:40It's all part of.

86:41And I think, and that's why even to this day, thousands, I mean, thousands and thousands

86:46of clients of IBM still have the Watson components that it's the AI being used.

86:50So it became a platform is how I would say it, right?

86:53And an ingredient that went inside and consultants, like you said, had to learn.

86:59I had, they had to learn, don't just put it on something.

87:04You got to rethink how that thing should work,

87:06because with the AI, it could work entirely differently.

87:09And so I also felt it could open up and still will open up jobs to a lot of people,

87:15because more like an assistant, and it could help me be qualified to do something.

87:19And we even years ago saw this with the French banks, very unionized,

87:23but that idea that you could, in this case, the unions voted for it

87:27because it felt people did a better job.

87:29And so, and that's just part about being really dedicated

87:33to help it help humanity, not destroy it.

87:35Speaking of which, a funny side note.

87:38So Kubrick's 2001 Space Odyssey.

87:42What do you think about the fact that Hal 9000 was named after IBM?

87:48I really don't think it was.

87:50I know there's, I really don't.

87:51I've also-

87:52It could be more fake news.

87:53It's more fake news.

87:54I have done, I've like researched this, tried to find any evidence and people have talked to,

87:58was it really, one letter, it was one letter off, right?

88:01But people don't know H is one letter off of I, A is one letter off of B,

88:06and then L is one letter off of-

88:07That was the, I think that's a solution found afterwards, you know?

88:10Yeah, that's hilarious.

88:11But here's what I think it more was.

88:13I do think it's one of the early demonstrations of evil AI.

88:16Yeah.

88:17Like can be taught bad.

88:18I could push back on that because it's presented as evil in the movie

88:23because it hurts, the AI hurts people.

88:25But it's a really interesting ethical question because the role of Hal 9000

88:30is to carry out a successful mission.

88:33And so the question that is a human question, it's not an AI question,

88:38at what price?

88:40Humans wage war.

88:41They pay very heavy costs for a vision, for a goal of a future that creates a better world.

88:51And so that's the question certainly in space.

88:54Doctors ask that question all the time,

88:55but the limited resources, who do I allocate my time and money and efforts?

88:59I agree.

88:59Like I said, I've spent a decade talking about this question of AI ethics, right?

89:02And that it needs really considerable, not just attention,

89:06because otherwise it will mirror everything we love and everything we don't love.

89:12And again, and that's the beauty in the eye of the beholder, right?

89:14Depending your culture and everything else.

89:16With what you're doing and what you're going to do, how do you think about it?

89:21Do you think about the AI you're going to develop as having guardrails

89:24dictated by some of your beliefs or?

89:28Yeah, for sure.

89:29So there's so many interesting ways to do this the right way,

89:33and I don't think anyone has an answer.

89:35I tend to believe that transparency is really important.

89:37So I think some aspect of your work should be open-sourced

89:43or at least have an open-source competitor

89:45that creates a kind of forcing function for transparency of how you do things.

89:50So the other is, I tend to believe,

89:54maybe it's because of the podcast and I've just talked to a lot of people,

89:57you should know the people involved.

89:59I agree 100%.

90:00As opposed to hide behind a company wall.

90:03Sometimes there's a pressure, you have a PR team,

90:05you have to care for investors and discussion, so on, let's protect,

90:09let's surely not tweet, not this.

90:12Like, and you form this bubble

90:14where you have incredible engineers doing fascinating work

90:17and also doing work that's difficult, complex human questions being answered.

90:23And we don't know about any of them as a society.

90:26And so we can't really have that conversation.

90:28Even though that conversation would be great for hiring,

90:31it would be great for revealing the complexities of what the company is facing.

90:35So when the company makes mistakes,

90:37you understand that it wasn't malevolence or half-assedness

90:42and the decision-making is just a really hard problem.

90:44And so I think transparency is just good for everybody.

90:47And I mean, in general,

90:51just having a lot of public conversations about this is serious stuff.

90:55It's that AI will have a transformative impact on our society

91:00and it might do so very, very quickly

91:03through all kinds of ways we're not expecting,

91:05which is social media recommendation systems.

91:07They at scale have impact on the way we think,

91:11on the way we consume news and our growth,

91:17like the kind of stuff we consume to grow and learn

91:19and become better human beings, all of that, that's all AI.

91:22And then obviously the tools that run companies on which we depend,

91:28the infrastructure in which we depend,

91:29we need to know all about those AI decisions.

91:32And it's not as simple as,

91:34well, we don't want the AI to say these specific set of bad things.

91:38- Right.

91:39- It's unfortunately, I don't believe it's possible to--

91:41- It's not.

91:42- Prevent evil or bad things

91:48by creating a set of cold mathematical rules.

91:51- Yeah.

91:52- Unfortunately, it's all fuzzy and gray areas.

91:54It's all a giant mess.

91:55- It is.

91:56I mean, you think about it like a knife.

91:57A knife can do good and a knife can do bad.

91:59Okay, you can't, it's very hard.

92:01- You can't ban knives.

92:02- You can't ban knives.

92:03And that this is, I think back, it was probably 20, I don't know, 15, 16,

92:09we did principles of trust and transparency.

92:11Notice the word transparency, that belief that with AI,

92:14it should be explainable.

92:15You should know who taught it.

92:16You should know the data that went into training it.

92:19You should know who, how it was written.

92:21If it's being used, you have a right to know these things.

92:24And I think those are pretty, to this day,

92:26really powerful principles to be followed, right?

92:29And part of it, we ended up writing,

92:31'cause here we were when we were working on particularly healthcare,

92:34like, okay, you care who trained it and what, and where did,

92:38and that's sort of, you know, that comes to your mind.

92:41You're like, yeah, that makes a lot of sense

92:42for something important like that.

92:43But it just in general, people won't trust the technologies,

92:47I don't think, unless they have transparency into those things.

92:50In the end, they won't really trust it.

92:51- I think a lot of people would like to know, sort of,

92:55'cause a lot of us, I certainly do,

92:58suffer from imposter syndrome, that self-critical brain.

93:02So, you know, taking that big step into leadership,

93:05did you at times suffer from imposter syndrome?

93:08Like, how did I get here?

93:09Do I really belong here?

93:10Or were you able to summon the courage

93:13and sort of the confidence to really step up?

93:15- Hmm.

93:19I think that's very natural for someone.

93:21Like, no matter, like the bigger the job gets,

93:23you turn and you look to the left and the right

93:27and you see people around you and you think,

93:29what am I doing here, right?

93:30But then you remember what you do

93:32and there's no one else doing it.

93:36And so you get that confidence.

93:38So I do hear a lot of people talk about imposter syndrome,

93:41right?

§07Transcript · 1:33:42–1:41:10

93:42And I kind of, actually this past year,

93:47I've spent some time helping people on that topic.

93:49And part of the stress, you have to believe

93:54you have a right to be there like anyone else does

93:58if you've prepared for that moment, you know?

94:00And so it's a bit more of a,

94:02I know it's hard to say it,

94:04like a confidence thing more than anything else.

94:06So yes, there are times I look around,

94:09but then I think, wow,

94:10I'm in a position to make something change.

94:12So I can't say I have ever really dwelled

94:15on that feeling for long.

94:16- Okay, so you just focus on the work,

94:18I have an opportunity, I'm gonna stop propagating.

94:18- You know, it's good or bad, I just focus on the work.

94:21Yeah, good or bad, yeah.

94:22- One important lesson you said you learned from your mom

94:26is never let anyone else define you.

94:29Only you define who you are.

94:30So what's the trajectory, let's say,

94:34of your self-definition journey,

94:36of you discovering who you are?

94:40From having that very difficult upbringing.

94:42- You know, they say pivotal moments happen

94:45and you don't realize it when they're happening.

94:47So most of my, I feel like most of my self-discovery,

94:51it's been like something happens in a year or two

94:55or some number later, I look back on it and say,

94:58you know, I learned this from that.

95:00It's like not in the moment always with me.

95:02That could just be how I am.

95:04So I feel like it's been,

95:06know yourself, it's a good thing, right?

95:09I've actually heard you say that on different podcasts

95:11when you ask people questions, you're like,

95:13well, it depends, you know, like know yourself a bit, right?

95:16- It's hard to know who you are though.

95:18There's a lot of things, like you said,

95:19like for me, there's moods when you're super self-critical,

95:23sometimes you're super confident,

95:25and there's many, sometimes you're emotional,

95:28sometimes you're cool under pressure,

95:29and all those are the same human being.

95:32- Yeah, and I think that's fine.

95:33(Lex laughing)

95:35Self-awareness, that's different.

95:37- Was there societal expectations and norms

95:40regarding gender that you felt in your career?

95:44You've spoken to that a little bit,

95:46but was there some aspect of that

95:47that was constraining, empowering, or both?

95:50- You know, I chose to never look at it, okay?

95:55Now, whether that is right or wrong,

95:56and again, I'm a product of the '70s,

95:58and '70s and the '80s where I think I was surrounded,

96:02all the other women around me

96:04viewed our way to get ahead was just to work hard.

96:06Work hard, work hard,

96:07and that was the way you differentiated yourself.

96:10And that's obvious it did help.

96:12I mean, there's no doubt about it.

96:13You're always, you know, you learned a lot of things,

96:15which qualified opened up another door,

96:17opened up another door.

96:18I'm very remindful that I have worked for companies

96:22that are very steeped in those values of equal opportunity.

96:25And so nothing remarkable about that.

96:28And I mean, when I was a wee kid,

96:31I'm taught hire a diverse team.

96:33I get evaluated for it.

96:36I get evaluated if my team has built up their skills.

96:39So this is, you know, when you're really formative,

96:42you're in a culture that that's what it's valuing, right?

96:44So it becomes part of you.

96:46So I say sometimes to Chagrin,

96:49"Did I ever feel I was held back for that reason?"

96:51Now, were there plenty of times when,

96:53you know, I write about a few of the stories in the book,

96:55I'm laying cables at night and the guys are at the bar.

96:58Now, I didn't really wanna go with them to the bar anyways.

97:00They'd be like, "We'll be back to get you, you know, bye."

97:03And I'm like, "Okay."

97:04I mean, I learned a lot.

97:06So it didn't.

97:07Now, all that said,

97:09back to my earlier story about being a role model,

97:11you know, it would be foolish to not believe

97:15that there were times that that mattered.

97:16And I would say two things,

97:21even not that long ago,

97:23you know, a colleague called me

97:25and I was talking about media and about women CEOs

97:30and said, "Do you notice that sometimes

97:31when it's a woman CEO, they call the person by name

97:33and when it's a man, they call the company out,

97:36not the person's name exactly associated with the issue."

97:39And I said, "Yeah, well, I think you have to just understand

97:42much of what you do, it will be magnified

97:45'cause there are so few of you.

97:47And sometimes it will be, you know,

97:49really can be blown out of proportion, right?

97:52And so that can happen

97:54and you gotta learn in which way.

97:57Now, all that said, on gender,

97:59it is an interesting thing with the book

98:01as I've talked to, you know, having a book,

98:03even some of my best friends, the first reaction is,

98:06"I can't wait for my daughter to read it."

98:08I say, "Well, that's interesting,

98:11do you think you could read it?"

98:12- Yeah, it's fascinating.

98:14- It's an interesting reaction.

98:15And here I am 40 years later,

98:17that's an interesting reaction, right?

98:18And I say, "No, the book, I really worked hard

98:21to write it for everyone,

98:23I just happened to be a woman, right?"

98:25But there's still that there.

98:27And so look, until I think people see

98:30and never feel that they have a,

98:32it doesn't even matter whether there's a woman,

98:34it could be another diverse group that feels it.

98:36It's okay to ask those questions.

98:38And that's why actually I'm okay talking about it

98:40because there were times I felt it, right?

98:42There were times in my life on my looks or my weight

98:45or my clothing or endless numbers of things

98:48that people would comment on

98:49that they would not have commented on

98:51if it was someone else.

98:53Now, on the other hand, when there's so few of you

98:58and there's good and bad,

99:02I mean, there's benefit to that too, right?

99:03If you do good work, it's easier to be recognized.

99:07And so a pro and a con,

99:09and I think I've just grown up believing

99:13like my advice to young women going to engineering,

99:15not 'cause you're gonna be an engineer,

99:16it teaches you to solve problems

99:18and anything new job you do is gonna be solving problems.

99:20Things like that are what I take away from that

99:24in that journey.

99:25- It is interesting that I hear from women

99:28that even on this podcast,

99:31when I talk to incredible women like yourself,

99:35it is inspiring to young women to hear.

99:37I mean, you like to see,

99:39you talk to somebody from Turkey

99:41and then Turkish people all get excited.

99:42- It's so true.

99:44- So you get like somebody that looks like you,

99:46somebody that, and the category could be tiny,

99:50it can be huge.

99:52That's just the reality of the world.

99:53- It is the reality of the world.

99:54And the work I do now to put,

99:57this group called One Tent,

99:58put 1 million black employees into the middle class

100:00without college degrees,

100:01get them the right skills, upwardly mobile jobs.

100:04So one of my last years,

100:07we had been working on,

100:09it just did regular leadership session at IBM

100:11and had our black colleagues,

100:12we're talking about what did it feel like

100:14to be a black leader?

100:15And here, these are extremely accomplished people.

100:18And I can remember very well

100:20when telling a story about,

100:21look, I felt if I failed or succeeded,

100:24it's not just me,

100:26it came from a country in Africa.

100:27I feel like the whole country is on my shoulder,

100:30my success or failure.

100:31That's a burden.

100:32I mean, like I don't feel that burden.

100:34Not true, as a woman CEO,

100:36I did feel like,

100:37even the headlines when I was named said,

100:40her appointment will either,

100:42her success or failure will be a statement

100:44for the whole gender kind of thing.

100:46And I didn't dwell on it,

100:49but I meant that's,

100:50but I could see how people,

100:51like you said, it could be a small group,

100:52could be whatever.

100:53And so that is a lot of pressure on people

100:55and they need role models.

100:56You're a role model for people.

100:57Look at what you're able to do.

100:58You do these podcasts,

100:59you understand your science very well,

101:01you're very well prepared,

101:02your ability to translate it to people.

101:05That's not an insignificant thing.

101:07And you may think,

101:08oh, is that about the power of me?

101:10Not really, right?

§08Transcript · 1:41:11–1:48:07

101:11And you obviously believe,

101:13you don't do this because

101:14you just like sitting at a microphone.

101:16You do it because you think,

101:17okay, if I can get people to say things

101:18that are really valuable to other people,

101:20they're gonna learn something.

101:21I assume that is,

101:22I mean, you never told me my interpretation is,

101:24that's why you do this podcast,

101:26that you feel like in service of other people

101:28that you can bring them something unique

101:30by the way you do this.

101:31Now, I should ask you, why do you do it?

101:33That's my impression.

101:34- By the way, can I just comment on the fact

101:36that you keep asking me really hard questions?

101:38(both laughing)

101:39I really appreciate it.

101:40- It's in your own medicine.

101:41- I love this.

101:42I'm really honored by it.

101:43As a fan of a podcast myself,

101:48what I hope is to talk to people like you

101:51and to show that you are a fascinating

101:55and beautiful human being

101:56outside of your actual accomplishments also.

101:59So sometimes people are very focused on

102:02very specific things about, like you said, science,

102:05like what the actual work is,

102:07whether it's nuclear fusion or it's GIGPT.

102:10I just wanna show that it's,

102:13because I see it at MIT and everywhere,

102:17it's just human beings trying their best.

102:19They're flawed, but just realizing

102:22that all of these very well accomplished people

102:25are all the same.

102:26- Yeah, that's a very good, well said.

102:28- And then so then regular people and young people,

102:30they're able to see, I can do this too.

102:33I can have a very big impact.

102:34- No imposter syndrome, right?

102:35- Yeah, exactly.

102:36It's like we're all kind of imposters.

102:38We're all like trying to figure it out.

102:39- To a certain degree.

102:41- So let me just ask you about family.

102:44You wrote that, "My family still jokes

102:46"that the reason I never had children on my own

102:49"was because I had already raised my family."

102:51They're right.

102:52So this is talking to you about upbringing,

102:54but in general, what was your,

102:55you know, leading a giant company,

102:58what was the right place to find a work-life balance for you

103:03to have time for family,

103:05have time for away from work and be successful?

103:09- So I had to learn that.

103:10And I might've said, you know,

103:12you're the only one that can determine

103:14your own work-life balance.

103:15Companies are innate things.

103:16I mean, they will take everything they can from you.

103:18And it's not a bad thing.

103:19They just will, as will bosses.

103:21I mean, you give it, they'll take it.

103:23And when people ask for, you know, I need a roof,

103:26I'm like, okay, I had to come with terms with,

103:28the criminal was me if I needed that balance.

103:31I had to set those boundaries.

103:33And so when I comment about a family,

103:36because I am in extreme awe of people with children who work,

103:39it is a extremely hard thing to do.

103:43I watch my siblings.

103:44I love my nieces and nephews.

103:45And, whew, you know, A, the emotional,

103:50their pain is your pain every minute of the day.

103:52And then you still have a job on top of it.

103:54And so when my mom had to go back to school

103:56and had to work, I was the one.

103:58And so when she couldn't go to the teacher meeting,

104:01I went to the teacher meeting.

104:02And so in some ways, there's an age gap

104:04between my brother and I and my other two sisters.

104:06And so I'm still, they still call me mama bear even.

104:11I mean, I'm extremely protective of all of them.

104:14And it is as if I had raised them.

104:16And my mom did a great job raising them.

104:18I didn't, but I was there.

104:20And so when it came time to have children,

104:24and my husband came from a family where his father died

104:28and was raised by a single mother,

104:29very similar end point, different reasons why he ended up,

104:34you know, his father did not abandon them.

104:37And I don't want people to believe to do my job,

104:41you can have no children.

104:42That is not right.

104:44I know other great women CEOs,

104:46Marilyn Hewson, who ran Lockheed Martin,

104:49extremely technical company,

104:50Mary Barra, who runs General Motors,

104:52Ellen Coleman, who run DuPont.

104:54These are all my friends to this day.

104:55And they've been fantastic mothers

104:59and husbands, good parents, right?

105:01And so I talk about it because it was a choice we made.

105:04And so, you know, we both felt, look,

105:07we'd reached a point where for his reasons,

105:10what he had to do, I'd already felt that way.

105:12And that we were comfortable

105:14just being great aunts and uncles,

105:15and I'm a great aunt, you know?

105:16Well, I like to think that for my little guys,

105:19and they're older now, but lots of them.

105:21And there's no doubt though, the choices we made,

105:26Mark and I, that that made it easier

105:29for me to focus on work.

105:31I mean, it's just math, you know,

105:33when you've got less people to have to take care of.

105:36And so I'm very considerate of that.

105:40And I think much of it informed

105:41many of the policies I put into,

105:42because I had such great empathy

105:44for those who then still had

105:46these other responsibilities.

105:47And I desperately wanted them all

105:49to stay in the workforce.

105:51So I can remember, and my siblings have been

105:54more successful than I, by the way,

105:56I mean, to my mother's credit.

105:57And my one sister who, you know,

106:02went to Northwestern, has an MBA,

106:04built some of the most sophisticated systems.

106:06She spent her whole career at Accenture

106:09and just recently retired as a chief executive

106:11of all of consulting.

106:13But at one point she took off time

106:15to spend with her family

106:16and then went to go back to work.

106:18She's talking to me and she's like,

106:20"I don't know if I should go back to work.

106:21You know, maybe life's path,

106:22you know, technology goes so fast.

106:23It's been a few years."

106:24I'm sitting there like,

106:26"What are you talking about?"

106:28I'm like, you know, look at her credentials.

106:30They're far outstanding.

106:32I'm like, and I thought to myself,

106:34like, ding, one of those moments,

106:36if my own sister feels that way

106:38with all her credentials,

106:40I'll bet I went back to work the next day

106:42and I said, "Hey, pull for me."

106:43All the people who've left

106:45for parental reasons

106:46and or whatever, family reasons,

106:48didn't come back.

106:49And it began a program of return ships.

106:51And I can't tell you how many,

106:53in men and women,

106:53was because they didn't feel confident to come back.

106:56They thought technology passed them by.

106:58Okay, we said, "It's three months.

107:00You could stay one month, three months,

107:01it doesn't matter."

107:02Well, a lot of people like one day,

107:03they're like, "You're right, not that much happened."

107:05(laughing)

107:06It happened, but I caught up.

107:07I actually know more than I think.

107:08So, it was a long answer to your question about,

107:14I didn't, but I am so empathetic

107:16and I am in awe of what they are able to do.

107:19And it made me then, I think,

107:21more empathetic to the policies and the like

107:23around that topic,

107:24so you could keep great people in the workforce.

107:26- So you mentioned your friends with Mayabara,

107:28the CEO of GM.

107:30- I didn't mean to name drop.

107:33- No, I love her, she's amazing.

107:35So I just wanted to, I'm just curious,

107:37do you guys-- - I'll tell Mary

107:37she should do your podcast.

107:39- We'll make it happen, but--

107:40- She's a great leader.

107:41I tell Mary what I think of her

107:43is I think she's one of the most authentic leaders out there,

107:45most authentic.

107:46- I mean, just very different companies, huge challenges.

107:49- I worked there first, though, remember, right?

107:51So I'm very, in some ways, I'm very beholden, right?

107:55I'm very appreciative of what they did.

107:57I mean, Mary and I are circa the same,

107:58well, I'm a bit older, so, but circa that genre.

108:01- Do you exchange wisdoms?

108:03- Oh yeah, yeah.

108:04When you do anything hard, it takes time and perseverance,

108:07like we talked about.

§09Transcript · 1:48:07–1:52:09

108:07And you can get that, where do you get the fuel for it?

108:13You can either get it from your attitude,

108:15or you can get it from your network or your relationships.

108:18And I'm a firm believer relationships are from what you give,

108:21not what you get.

108:22Meaning you give, trust me, they will come back

108:25at the time they need to come back to you

108:27at these moments in life.

108:28If you focus on how can I bring lex value,

108:33there'll be a day I need lex, he will be back.

108:35And so to those women,

108:38to me, relationships are not transactional.

108:40And it's a proof that to this day,

108:44even though I'm no longer still active as a CEO,

108:46these are all still my friends.

108:48And we are friends, all of us.

108:51And I can remember some of them

108:53when I first became a CEO calling me and saying,

108:55"Hey, it's a little lonely here, so let me talk to you."

108:59And then when they became, I did the same for them.

109:01And then they remember,

109:03and they do for the next generation.

109:04And so it's a very supportive, almost to a T,

109:11any of the women you could name who have been CEOs,

109:13I would say, almost to a T, have all been very supportive.

109:17In fact, a number of us work on a little,

109:18another non-for-profit right now called Journey,

109:20which some women who had started,

109:22the Fortune's Most Powerful Women had started,

109:24which was, could we get more women,

109:27particularly diverse women, but women in general,

109:29to more quickly be into positions of leadership and power.

109:32And so many of the women you named and more,

109:35we all dedicate time mentoring

109:37in kind of creating this little group of fellows

109:40every year to do this.

109:41- Friendship and love is core to this whole thing,

109:43not just the success, but just the whole human condition.

109:46Let me ask one last question, advice for young people.

109:49You've had a difficult upbringing, a difficult life,

109:53and you've become one of the most successful

109:56human beings in history.

109:57What advice would you give to young people,

109:59or just people in general who are struggling a bit,

110:02trying to figure out how they can have a career

110:04they can be proud of, or maybe a life they can be proud of?

110:07- I feel like a life you can be proud of

110:10is just one if you leave something a little bit better.

110:12It doesn't have to be big.

110:15That's a life well-lived, right?

110:18It was Churchill who said,

110:19you might remember it better than I.

110:21You make a living by what you get,

110:24and you live a life by what you give.

110:26Something to that effect.

110:27But my advice would probably, when I'm asked this,

110:31I would tell them to ask more questions than give answers.

110:35Just focus on being a sponge.

110:40It's funny, I asked my husband the same question the other day.

110:44I said, hey, we're talking to somebody,

110:46and people were asking this,

110:48and he sort of paused for a while,

110:51and he said, I tell him, patience.

110:53I said, what do you mean?

110:54And he said, I see so many young people,

110:58like they're in such a hurry to somewhere, I don't know where.

111:00And that if they just had patience and let life unfold,

111:03I think they may be surprised where they ended up.

111:06And actually, I think that's a really good answer, to be honest.

111:11- Along the way, keep asking questions.

111:13Keep that childlike curiosity.

111:15- I know, it sounds so easy to say.

111:17It's just so, you know, it's--

111:19- Yeah, like you said, the obvious things.

111:22- Yeah.

111:23- I think they tend to be the most profound.

111:25Jeannie, you're an incredible human being.

111:27You're an inspiration to so many.

111:28Thank you for helping run and contribute

111:33to one of the great companies

111:34that brings so much good power to the world.

111:37And thank you for putting in the hard work

111:39of putting it all in the great book.

111:41So, and thank you for talking today.

111:43This is a huge honor.

111:44Thank you for doing it.

111:44- Yeah, you did a lovely job.

111:45- Thanks for listening to this conversation with Jeannie Rometty.

111:49To support this podcast,

111:50please check out our sponsors in the description.

111:52And now let me leave you with some words

111:55from Eleanor Roosevelt.

111:56"Do what you feel in your heart to be right,

111:59for you'll be criticized either way."

112:02Thank you for listening.

112:04I hope to see you next time.

112:06(upbeat music)

112:09(upbeat music)

— A LITTLE MORE TO THINK ABOUT. —