WEBVTT - AMD’s CEO Wants To Chip Away at Nvidia’s Lead 0:00:01.320 --> 0:00:05.440 I'm Emily Chang and this is The Circuit. Finally, after 0:00:05.480 --> 0:00:08.200 nearly two seasons of bringing you interviews with the top 0:00:08.280 --> 0:00:10.880 leaders in tech in business, the Circuit is going to 0:00:10.920 --> 0:00:14.840 be talking about circuits on an actual racing circuit. This 0:00:14.920 --> 0:00:17.560 episode will take you to F one in Austin, but 0:00:17.840 --> 0:00:20.959 first we start at the headquarters of one of the biggest. 0:00:20.680 --> 0:00:21.880 Chip makers in the world. 0:00:22.640 --> 0:00:25.120 There's no shortage of drama when it comes to chip making. 0:00:25.640 --> 0:00:27.120 Even when you're winning. 0:00:27.040 --> 0:00:30.080 The game changes. Do you ever feel like you're running 0:00:30.120 --> 0:00:32.159 a race that just never stops. 0:00:32.479 --> 0:00:35.600 Of course, absolutely, that's exactly what we're doing. I'm running 0:00:35.640 --> 0:00:38.200 like a different company every few years. Like the industry 0:00:38.280 --> 0:00:41.640 is changing that fast. The technology that we're building is 0:00:41.720 --> 0:00:44.240 changing that fast. It's a fantastic race though. 0:00:45.040 --> 0:00:48.599 That's Lisa Sue, the CEO of Advanced micro Devices or AMD. 0:00:49.120 --> 0:00:51.199 She's been at the driver's seat at the chip company 0:00:51.240 --> 0:00:54.680 for ten years, engineering a strategy that transformed it from 0:00:54.680 --> 0:00:58.520 and also ran into a formidable force in gaming, PCs 0:00:58.600 --> 0:01:01.959 and the cloud, which rule just about everything around us. 0:01:02.000 --> 0:01:05.560 It's one of the most ubiquitous and most consequential technologies 0:01:05.560 --> 0:01:08.959 in the world, and it's Lisa Sue's obsession. Born in 0:01:09.000 --> 0:01:11.920 Taiwan with three degrees from MIT, she takes a no 0:01:11.920 --> 0:01:15.440 nonsense approach when it comes to innovation and the competition. 0:01:16.440 --> 0:01:18.400 I want to talk a little bit about your leadership style. 0:01:18.920 --> 0:01:22.040 I've heard you don't take from anyone who's. 0:01:21.760 --> 0:01:25.280 Told you that somebody, But seriously, I've heard your toughest 0:01:25.360 --> 0:01:28.479 nails and I'm sure you have to be How would 0:01:28.480 --> 0:01:29.480 you describe yourself? 0:01:29.760 --> 0:01:32.720 Well, I like to win, if that's okay. 0:01:33.720 --> 0:01:36.720 Sue's next great challenge is catching up to Nvidia, and 0:01:36.800 --> 0:01:40.240 it's CEO Jensen Wang, who, by the way, is her 0:01:40.280 --> 0:01:43.319 distant cousin. She's going head to head to deliver the 0:01:43.360 --> 0:01:46.839 most advanced chips for an AI powered world. The question 0:01:47.000 --> 0:01:49.840 is can she keep up? I met up with Sue 0:01:49.920 --> 0:01:53.120 at AMD's campus and at the US Grand Prix in Austin, 0:01:53.600 --> 0:01:56.880 and fun fact, Sue loves fast cars too. She happens 0:01:56.920 --> 0:02:00.560 to collect porsches herself. AMD is also a sponsor of 0:02:00.600 --> 0:02:03.680 the Mercedes F one team. We dive into her career, 0:02:04.040 --> 0:02:06.640 the bets she's making to stay in the competition, and 0:02:06.840 --> 0:02:09.360 her long view on the global race between China and 0:02:09.400 --> 0:02:13.040 the United States on chip supremacy. Joining me now a 0:02:13.200 --> 0:02:18.000 m d CEO and chair Lisa Sue. Hello, hello, thank 0:02:18.040 --> 0:02:19.239 you so much for doing that. 0:02:19.400 --> 0:02:20.919 Oh, thank you, thank you for coming. 0:02:21.160 --> 0:02:22.359 So great to be in Austin. 0:02:22.800 --> 0:02:24.639 That's where you live, it's where I live. 0:02:24.919 --> 0:02:26.480 How long have you been living in because you were 0:02:26.520 --> 0:02:27.400 in Texas. 0:02:27.040 --> 0:02:30.280 Before, lived in Austin since let's see two thousand and seven, 0:02:30.400 --> 0:02:33.120 So how long has that been. That's been a long time. Yeah, no, 0:02:33.200 --> 0:02:34.359 I used to hear from New York. 0:02:34.400 --> 0:02:36.400 I used to live in New York, okay, and that 0:02:36.520 --> 0:02:38.200 was probably quite a culture shock. 0:02:38.760 --> 0:02:41.799 Yes, it's my second time in Texas though. Okay, so 0:02:42.000 --> 0:02:45.919 I write after my PhD. I my first job was 0:02:45.960 --> 0:02:48.440 at TI So I actually lived in Dallas for not 0:02:48.639 --> 0:02:49.200 a long time. 0:02:49.280 --> 0:02:51.480 But then didn't you go back to New York? Yes, yes, yes, 0:02:51.520 --> 0:02:53.000 because Texas was Texas. 0:02:53.080 --> 0:02:56.079 Texas was tough, no offense. 0:02:57.360 --> 0:02:59.320 But now it's your home. Now it's hold and it's 0:02:59.320 --> 0:03:00.560 probably changed so much. 0:03:00.680 --> 0:03:02.840 It is at Austin is a very nice city. I mean, 0:03:02.880 --> 0:03:05.400 hopefully you'll get to see a little bit of Boston. 0:03:05.520 --> 0:03:08.160 It's just it's really a great city. It's grown so 0:03:08.280 --> 0:03:10.480 much in the last ten to fifteen years. 0:03:11.120 --> 0:03:13.919 How do you feel about Austin as a tech hub. 0:03:14.080 --> 0:03:17.760 Now it's great, everyone's here and this notion of I 0:03:17.880 --> 0:03:21.040 used to think I was just passing by Austin, so 0:03:21.560 --> 0:03:23.520 I was going to live here for a few years 0:03:23.720 --> 0:03:26.440 and then had my way to Silicon Valley. This is 0:03:26.600 --> 0:03:29.880 sort of midpoint and now like I'm in Silicon Valley 0:03:29.919 --> 0:03:32.560 a lot, but one doesn't need to live there. 0:03:32.720 --> 0:03:34.160 And what do you think about the fact that, like 0:03:34.200 --> 0:03:36.440 the center of gravity is still in Silicon Valley and 0:03:36.480 --> 0:03:38.560 the town is still in Silicon Valley, and you just 0:03:38.600 --> 0:03:40.280 can't beat it anywhere else. 0:03:40.360 --> 0:03:42.680 There are a lot of wonderful people in Silicon Valley 0:03:42.720 --> 0:03:45.120 you can't beat just you know, you can walk into 0:03:45.160 --> 0:03:48.280 the coffee shop and you know, meet someone for breakfast 0:03:48.320 --> 0:03:51.560 and somebody else for lunch, So you can't beat that. 0:03:51.560 --> 0:03:54.920 That being the case, we're just so global now. Yeah, 0:03:54.960 --> 0:03:57.680 like everyone is everywhere, so I feel like I'm everywhere. 0:03:57.680 --> 0:03:59.480 I don't actually, even though I live in Austin, I 0:03:59.480 --> 0:04:01.160 don't feel like I live in Austin because I'm not 0:04:01.280 --> 0:04:03.200 in Austin as much as I would like to be. 0:04:03.800 --> 0:04:06.560 You've been CEO of AMD for ten years. You've been 0:04:06.600 --> 0:04:10.040 working in the chip industry for decades. But I want 0:04:10.080 --> 0:04:13.080 to go back to a moment. When did you first 0:04:13.400 --> 0:04:15.960 hear that you were going to be CEO of AMD? 0:04:16.800 --> 0:04:23.160 Well, it was probably maybe September twenty fourteen. Yeah, it's 0:04:23.160 --> 0:04:25.119 one of those phone calls. You know, it's a phone 0:04:25.120 --> 0:04:28.919 call you get from your Chairman of the board, Bruce Claughlin, 0:04:29.279 --> 0:04:31.200 and he said, Lisa, can you talk. I'm like sure, 0:04:32.279 --> 0:04:38.680 and he goes, it's time and I'm like time for what? Uh? 0:04:39.440 --> 0:04:41.840 You know, I had just been COEO for about six 0:04:41.880 --> 0:04:45.359 months or so, and you know, I was learning a 0:04:45.360 --> 0:04:50.440 lot about AMD, a lot about the industry, particularly around PCs, 0:04:50.600 --> 0:04:52.400 and that was sort of new to me when I 0:04:52.440 --> 0:04:55.360 joined AMD. And uh, yeah, he said, you know, the 0:04:55.640 --> 0:04:58.520 board has made a decision they would like you to 0:04:58.560 --> 0:04:59.920 be the next CEO. 0:05:00.000 --> 0:05:04.600 Oh I said, okay, Well how did that feel? It 0:05:04.640 --> 0:05:07.040 was a tough time. I mean, AMD was training at 0:05:07.040 --> 0:05:09.960 two dollars a share. One guy said it was deader 0:05:10.000 --> 0:05:10.479 than dead. 0:05:12.000 --> 0:05:13.200 What made you so was that guy? 0:05:14.200 --> 0:05:17.280 It was an AMD employee? What made you think you 0:05:17.279 --> 0:05:18.120 could prove them wrong? 0:05:18.400 --> 0:05:20.200 I think you have to maybe take a step back 0:05:20.240 --> 0:05:22.560 and just you know a little bit about sort of 0:05:22.560 --> 0:05:25.800 how I think about these things. You know, I've been 0:05:25.839 --> 0:05:29.400 in the semiconductor industry for quite a while. At that 0:05:29.440 --> 0:05:31.440 point in time, you know, let's call it a couple 0:05:31.440 --> 0:05:35.680 of decades. There were so few places in the industry 0:05:35.760 --> 0:05:39.200 where you could really work on bleeding edge technology, and 0:05:39.240 --> 0:05:41.120 AMD was one of those places. So if you ask 0:05:41.279 --> 0:05:44.800 why did I join AMD? I joined AMD because I'm like, look, 0:05:45.320 --> 0:05:48.200 I like working on high performance things and I think 0:05:48.200 --> 0:05:51.479 I can make a difference at this company. So the 0:05:51.560 --> 0:05:54.680 opportunity to be CEO of AMD, it was truly like 0:05:54.680 --> 0:05:57.880 a dream come true. It's like, wow, okay, like you 0:05:58.320 --> 0:06:01.640 think that maybe you can do this, and here you're 0:06:01.680 --> 0:06:05.919 going to have the opportunity to lead a major semiconductor company. 0:06:06.040 --> 0:06:09.239 On Yes, you're right, it wasn't the best time, but 0:06:09.400 --> 0:06:13.359 I was pretty confident that we had the right pieces. 0:06:13.640 --> 0:06:16.280 They just needed to be put together in the right way. 0:06:16.839 --> 0:06:21.400 Now AMD stock is trading in a totally different stratosphere. 0:06:21.960 --> 0:06:24.920 Was there a moment along the way where you really 0:06:25.000 --> 0:06:26.440 saw AMD turn a corner? 0:06:27.000 --> 0:06:31.160 The corner, the corner. There's so many moments when you 0:06:31.160 --> 0:06:35.480 think about ten years, but probably the most important moment 0:06:35.680 --> 0:06:39.680 for us was the launch of our new architecture, the 0:06:39.760 --> 0:06:42.760 launch of Zen you'll hear us talk about Zen a lot. 0:06:43.520 --> 0:06:48.560 Zen was our clean sheet design to really design the 0:06:48.600 --> 0:06:54.360 next generation architecture in CPUs for the next decade, and 0:06:54.680 --> 0:06:57.640 that's what Zen was. We started it back even before 0:06:57.640 --> 0:07:00.640 it became CEO. That work had started. But what we 0:07:00.720 --> 0:07:04.359 needed to do was really make the right bets in 0:07:04.480 --> 0:07:07.760 terms of where technology was going, where computing was going, 0:07:07.800 --> 0:07:10.760 and we made some very good decisions. And seeing Zen 0:07:10.920 --> 0:07:14.120 in action, you know, really getting it out of the labs, 0:07:14.680 --> 0:07:18.760 testing it, having customers test it, you know, launching Zen 0:07:19.080 --> 0:07:21.800 like at that moment, we're like, hmm, we got something 0:07:21.800 --> 0:07:22.400 special here. 0:07:22.760 --> 0:07:25.040 Now. There's no shortage of drama when it comes to 0:07:25.120 --> 0:07:29.080 chip making. Even when you're winning, the game changes. Do 0:07:29.120 --> 0:07:31.600 you ever feel like you're running a race that just 0:07:31.760 --> 0:07:32.480 never stops? 0:07:32.880 --> 0:07:36.280 Oh, of course, of course, absolutely, That's exactly what we're doing. 0:07:36.680 --> 0:07:40.400 But I think what's very interesting about it, it's like 0:07:40.880 --> 0:07:43.880 we're running a race, but it's a different race. Actually, 0:07:44.000 --> 0:07:46.760 So when I think about AMD, I think, but I'm 0:07:46.800 --> 0:07:49.800 running like a different company every few years. The industry 0:07:49.880 --> 0:07:53.440 is changing that fast. The technology that we're building is 0:07:53.520 --> 0:07:56.480 changing that fast. The problems that we're trying to solve 0:07:56.560 --> 0:07:59.920 with our customers are changing that fast. So yes, we're 0:08:00.200 --> 0:08:02.840 a race. It's a fantastic race though, because each race 0:08:02.880 --> 0:08:05.080 is different. It's like a different movie, but it's a 0:08:05.280 --> 0:08:06.600 more exciting movie each time. 0:08:06.680 --> 0:08:07.960 So how do you catch up? I mean, do you 0:08:07.960 --> 0:08:10.120 feel like you're like you can never take a water break? 0:08:12.480 --> 0:08:15.280 Kind of Yeah, it is kind of like that. I mean, 0:08:15.280 --> 0:08:18.960 we are pushing the bleeding edge of technology every minute 0:08:18.960 --> 0:08:23.640 of the day, and we're trying to put more capability 0:08:24.200 --> 0:08:27.920 running the next AI model, running the next computing application. 0:08:28.680 --> 0:08:32.160 And yeah, it is like we're running a very fast race. 0:08:33.200 --> 0:08:36.320 This current AI wave is moving so fast. How would 0:08:36.360 --> 0:08:38.199 you describe the pace right now? 0:08:38.679 --> 0:08:42.120 So I have to tell you, I truly believe AI 0:08:42.400 --> 0:08:46.040 is the most transformational technology that I've seen in my career. 0:08:46.559 --> 0:08:49.400 And you know, we've seen all kinds of technology transitions. 0:08:49.480 --> 0:08:52.599 We've seen the rise of the Internet. We've seen the 0:08:52.679 --> 0:08:56.400 rise of the PCs, mobile phones, cloud, all of these things, 0:08:56.440 --> 0:09:00.920 we're all mega trends. I think AI actually surpasses all 0:09:00.960 --> 0:09:04.240 of that because of the potential in terms of what 0:09:04.280 --> 0:09:08.000 it can do for humanity, what it can do for businesses, 0:09:08.360 --> 0:09:10.439 what it can do across the board. So I'm super 0:09:10.440 --> 0:09:14.000 excited about AI. And when I think about this AI wave, 0:09:14.360 --> 0:09:18.679 it really is about the rate and pace of change. Now, 0:09:18.720 --> 0:09:21.760 if you think about what really woke up the entire 0:09:21.800 --> 0:09:24.719 world to AI, was really like the chat GPT moment, right, 0:09:24.760 --> 0:09:26.599 And I remember that moment. I remember sitting in a 0:09:26.640 --> 0:09:29.360 staff meeting with my staff and having one of my 0:09:29.440 --> 0:09:31.880 guys say, Hey, Lisa, you really need to try this 0:09:31.920 --> 0:09:34.160 chat GPT. It just came out like four or five 0:09:34.200 --> 0:09:38.480 days ago, and it's amazing. And from that moment to 0:09:38.520 --> 0:09:40.440 this day, and I was probably a little less than 0:09:40.440 --> 0:09:43.840 two years ago, the rate and pace of change in 0:09:43.880 --> 0:09:47.719 the industry, whether you're talking about in our industry, in 0:09:47.760 --> 0:09:50.760 the semiconductor industry, or you're talking about on the software 0:09:50.800 --> 0:09:54.040 side or the applications front, it's like faster than anything 0:09:54.200 --> 0:09:56.079 we've ever seen. It's like we've made more progress in 0:09:56.120 --> 0:09:58.960 the last eighteen months than certainly the last ten plus years. 0:09:59.240 --> 0:10:01.480 And that's great. That's what you want. You want technology 0:10:01.520 --> 0:10:03.240 to make a difference. So that's where we are. 0:10:03.280 --> 0:10:05.040 So when you try chat GPT for the first time, 0:10:05.080 --> 0:10:06.600 what went through your head, well. 0:10:06.440 --> 0:10:09.600 Went through my head, is this is the promise of 0:10:09.640 --> 0:10:12.080 what tech can do. AI has been around for a 0:10:12.080 --> 0:10:15.680 long time. So it's not as if AI was completely new, 0:10:16.200 --> 0:10:18.600 but it was not something that was easily accessible. It 0:10:18.679 --> 0:10:21.920 was not something that every company used because you know, frankly, 0:10:21.920 --> 0:10:24.080 you had to have a PhD to be able to 0:10:24.120 --> 0:10:27.200 figure out how to use AI. What chatch Gypt did 0:10:27.400 --> 0:10:30.400 was unlock the ability that everybody could use AI. I 0:10:30.440 --> 0:10:32.640 could use it, You could use it. Everybody can use it. 0:10:32.640 --> 0:10:35.400 My dad can use it. That's what is different about 0:10:35.440 --> 0:10:38.440 this way. That's what's different about large language models, what 0:10:38.480 --> 0:10:42.200 you can do, and that's what set this incredible investment 0:10:42.240 --> 0:10:44.720 cycle that is currently around AI today. 0:10:45.040 --> 0:10:48.640 So in terms of the competitive the broader competitive landscape, 0:10:48.800 --> 0:10:51.679 are we seeing technology rewarding companies that made the right 0:10:51.800 --> 0:10:55.440 choices for punishing a certain company that lost its way. 0:10:55.840 --> 0:10:59.240 Well, I like to say that what we're seeing today 0:10:59.760 --> 0:11:05.559 is is that computing is now so important. Semiconductors are 0:11:05.600 --> 0:11:08.600 so important. You know. One of the things that amazes me. 0:11:08.760 --> 0:11:11.280 You know, when I graduated from college, you know, I 0:11:11.280 --> 0:11:15.720 would tell people I was doing semiconductors and they would say, what, 0:11:15.720 --> 0:11:19.120 what's that? Like you build chips? Like what does that mean? 0:11:19.640 --> 0:11:23.520 People didn't even understand like where technology really fit in 0:11:23.559 --> 0:11:28.080 the grand scheme of things like now everybody knows everybody 0:11:28.080 --> 0:11:31.040 talks about chips. You open up the paper, you open 0:11:31.120 --> 0:11:33.600 up your your browser, and it's all about what's happening 0:11:33.640 --> 0:11:36.120 in the chip industry. Chips are hot, and it's because 0:11:36.600 --> 0:11:39.559 we're so I can say it, like we're so important, right, 0:11:39.600 --> 0:11:43.360 This is like foundational to how we run the world. 0:11:43.480 --> 0:11:45.920 So if you put that in perspective, yeah, I think 0:11:45.920 --> 0:11:48.880 it's a super exciting place to be right now. And 0:11:49.240 --> 0:11:52.360 what it does is it encourages people to take risk. 0:11:52.600 --> 0:11:55.800 It encourages us to really push the envelope because when 0:11:55.840 --> 0:11:58.839 you think about it, when industries are mature, you look 0:11:58.880 --> 0:12:00.480 at how do you get a little bit costs out 0:12:00.520 --> 0:12:02.760 of the system. When an industry is growing by leaps 0:12:02.760 --> 0:12:05.360 and bounds, and when we're trying to get to the 0:12:05.400 --> 0:12:07.520 next wave and the next model, like, you have to 0:12:07.559 --> 0:12:09.680 take risks. You have to be bold in your thinking. 0:12:09.720 --> 0:12:10.960 And that's the most fun time. 0:12:11.360 --> 0:12:15.200 Has the shakeup of a very established industry surprised even you? 0:12:15.760 --> 0:12:18.080 It has a little bit, I have to say. I 0:12:18.120 --> 0:12:22.000 mean what has surprised me a bit is just how 0:12:22.080 --> 0:12:26.199 foundational the conversation has become. When you think about this 0:12:26.240 --> 0:12:30.920 conversation about the resiliency of the world depending on you know, 0:12:31.040 --> 0:12:34.600 semiconductor diversification, like those kinds of things. Those are big things, 0:12:34.600 --> 0:12:38.679 are beyond an industry. They're really underpinning the global economy, 0:12:38.920 --> 0:12:42.000 you know, underpinning national security, those types of things. So yeah, 0:12:42.280 --> 0:12:45.520 I think it's very positive, but it is something that 0:12:45.679 --> 0:12:47.839 for someone who's been in semi conductors for a long time, 0:12:47.920 --> 0:12:48.480 it's different. 0:12:49.559 --> 0:12:53.280 How is this revolution in AI going to fundamentally change 0:12:53.320 --> 0:12:55.079 our relationship with machines. 0:12:55.800 --> 0:12:59.080 My view is that AI gives each of us the 0:12:59.120 --> 0:13:04.320 opportunity to be smarter, more productive, more efficient, and just 0:13:04.760 --> 0:13:09.640 enjoy our lives better because the purposes using technology to 0:13:10.000 --> 0:13:11.600 kind of do the things that you don't want to do, 0:13:12.160 --> 0:13:16.560 or in some cases, for companies to really augment all 0:13:16.600 --> 0:13:19.200 of the let's call it what we want is brilliance 0:13:19.240 --> 0:13:22.559 and creativity and innovation in our employees. What we want 0:13:22.559 --> 0:13:24.120 to do is make all of the let's call it 0:13:24.120 --> 0:13:27.160 the regular work easier, and AI is an opportunity to 0:13:27.160 --> 0:13:27.640 do that well. 0:13:27.640 --> 0:13:30.360 Speaking of the competition in Nvidia is seen as the 0:13:30.360 --> 0:13:34.240 dominant force in AI right now, and AMD is widely 0:13:34.280 --> 0:13:36.880 considered the next best option. Is that good enough for you. 0:13:37.320 --> 0:13:39.160 Do you like being seen as the underdog? 0:13:39.720 --> 0:13:41.959 I wouldn't call it a like or dislike. What I 0:13:42.000 --> 0:13:46.240 would say is AMD has had a history of doing 0:13:46.320 --> 0:13:50.720 amazing things, and from that standpoint, we've always been in 0:13:50.760 --> 0:13:54.079 this place where we haven't necessarily had the same amount 0:13:54.160 --> 0:13:57.959 of people that other larger companies have, but we've certainly 0:13:57.960 --> 0:14:01.400 punched well above our weight in terms of technology capability, 0:14:01.400 --> 0:14:04.120 in terms of impact on the industry. So I love 0:14:04.160 --> 0:14:06.760 our current setup. And why do I love our current setup. 0:14:07.160 --> 0:14:09.360 We're in the most exciting part of the industry, Like 0:14:09.440 --> 0:14:12.480 the most exciting part of the computing industry is how 0:14:12.520 --> 0:14:15.319 do you enable AI? And our view is AI is 0:14:15.320 --> 0:14:16.760 going to be everywhere. AI is going to be in 0:14:16.920 --> 0:14:20.240 every application, every product, everywhere you go, you're going to 0:14:20.320 --> 0:14:22.800 need computing and we're at that place right now. 0:14:22.960 --> 0:14:25.440 Well, sometimes people underestimate the underdog, and that can be 0:14:25.480 --> 0:14:26.240 an advantage. 0:14:26.800 --> 0:14:30.440 I think what people should recognize and when I think 0:14:30.440 --> 0:14:34.400 about the history of technology evolution, it is having a 0:14:34.440 --> 0:14:36.360 great vision for where you want to go and being 0:14:36.400 --> 0:14:41.320 able to execute really, really well through multiple generations. That's 0:14:41.320 --> 0:14:44.720 what we have done well. I feel very fortunate to 0:14:44.800 --> 0:14:47.880 be in the company of the great partners that we 0:14:47.960 --> 0:14:50.400 have across AMD. I think that's what makes it fun 0:14:50.400 --> 0:14:52.440 for me. What makes it fun is, yes, we build 0:14:52.440 --> 0:14:55.600 great things, but it makes it fun when we're working 0:14:55.680 --> 0:14:58.960 with our customers and partners and making that a ten 0:14:59.160 --> 0:15:02.840 x type thing. So having partners like Microsoft and Google 0:15:02.920 --> 0:15:07.239 and Meta and Oracle and all of our broad ecosystem, 0:15:07.400 --> 0:15:10.640 it's yeah, how do we build some incredible technology together. 0:15:10.840 --> 0:15:13.240 Well, let's talk about some of these customers. So many 0:15:13.280 --> 0:15:16.400 of your customers are building their own chips hyperscalers like 0:15:16.640 --> 0:15:20.360 Apple and Meta and Google and Microsoft and Amazon. Is 0:15:20.360 --> 0:15:20.960 that a threat? 0:15:21.520 --> 0:15:23.720 The way I think about it is, Look, this is 0:15:23.720 --> 0:15:27.440 a huge market, Emily, there's like more than enough chips 0:15:27.480 --> 0:15:30.600 for everybody to build. And the beauty of this is 0:15:30.640 --> 0:15:34.520 everyone's recognized that chips are so important. Yes, so it's 0:15:34.600 --> 0:15:37.240 natural that they're going to have their own capability. On 0:15:37.280 --> 0:15:40.880 the other hand, our opportunity is to make one plus 0:15:40.920 --> 0:15:43.560 one greater than three. So our opportunity is actually to 0:15:43.640 --> 0:15:46.520 help our largest partners go faster in terms of what 0:15:46.600 --> 0:15:49.400 they want to implement and do. And that's my philosophy. 0:15:50.080 --> 0:15:53.480 So GPUs were initially built for gaming graphics and now 0:15:53.480 --> 0:15:57.720 they're being used in generative AI. Could these hyper scalers 0:15:57.760 --> 0:16:00.000 come up with their own specific architecture that makes you 0:16:00.400 --> 0:16:01.120 less attractive. 0:16:01.720 --> 0:16:06.000 Well, the beauty of how this industry works is it's 0:16:06.040 --> 0:16:09.400 all about computing at the end of the day. If 0:16:09.440 --> 0:16:11.840 you have good architects, if you know what problem you're 0:16:11.880 --> 0:16:15.200 trying to solve, you're going to come up with great solutions. CPUs, 0:16:15.240 --> 0:16:18.040 by the way, are super important. They really are the 0:16:18.080 --> 0:16:21.520 foundation of traditional computing, an area where you know, over 0:16:21.520 --> 0:16:24.760 the last number of decades we've made a tremendous progress. 0:16:25.160 --> 0:16:29.360 GPUs have been particularly important, as you said, starting with gaming, 0:16:29.440 --> 0:16:31.840 but you know, certainly now in the AI world, I 0:16:31.840 --> 0:16:34.360 think they're great. But there's no one size fits all 0:16:34.400 --> 0:16:36.640 in computing. You're going to need all different types of 0:16:36.640 --> 0:16:39.400 computing and that's what we're able to do. So yeah, 0:16:39.440 --> 0:16:41.520 do I think there's going to be, like ten years 0:16:41.520 --> 0:16:44.680 from now, a different architecture. There could be. There could be, 0:16:45.040 --> 0:16:47.880 but the foundational building blocks are the same and that's 0:16:47.920 --> 0:16:49.040 what we're specializing in. 0:16:49.240 --> 0:16:51.920 How do you plan to evolve pricing over time? Because 0:16:51.960 --> 0:16:54.640 my understanding is that for CPUs, you started cheaper, but 0:16:54.880 --> 0:16:58.640 raise prices when your quality came up. Rather than lowering 0:16:58.680 --> 0:17:01.880 prices for the whole industry. Is that what your strategy 0:17:01.920 --> 0:17:04.919 will be with training chips for example, You know, our. 0:17:04.800 --> 0:17:08.080 Strategy is always to find win wins. Like I'm a 0:17:08.119 --> 0:17:12.960 big believer in long term partnerships, and from that standpoint, 0:17:13.520 --> 0:17:16.359 what we have to do is provide value to our customers. 0:17:16.560 --> 0:17:19.520 And the value from my standpoint is always around, you know, 0:17:19.520 --> 0:17:21.480 how do we make sure that they have better total 0:17:21.520 --> 0:17:25.080 cost of ownership? When you think about with each generation, 0:17:25.160 --> 0:17:27.200 the reason to go to new chips and the reason 0:17:27.200 --> 0:17:29.400 to go to the next generation is because you get 0:17:29.400 --> 0:17:32.240 better performance per dollar, because you're able to do more 0:17:32.400 --> 0:17:34.959 for less, And that's really what we do. And so 0:17:35.000 --> 0:17:38.240 when you think about as technology progresses, our goal is 0:17:38.280 --> 0:17:41.080 to make sure that when we're able to get to 0:17:41.160 --> 0:17:44.240 that next generation that for sure the benefits are shared 0:17:44.280 --> 0:17:47.439 with our customers and to make money of course, of course, 0:17:47.520 --> 0:17:48.639 I mean at the end of the day, we have 0:17:48.720 --> 0:17:52.360 lots of different stakeholders. But I do believe Emily, there's 0:17:52.400 --> 0:17:55.359 a way to balance all of these things. Right. The 0:17:55.440 --> 0:17:59.119 key is great technology is a foundation and the ability 0:17:59.200 --> 0:18:02.720 to work with our customers and partners to really build 0:18:03.040 --> 0:18:06.240 that foundation is something that we very much appreciate. 0:18:06.520 --> 0:18:09.440 There's concern that all this spending on AI isn't justified 0:18:09.600 --> 0:18:10.760 by the returns. 0:18:11.080 --> 0:18:12.320 You're one of the most bullish. 0:18:12.520 --> 0:18:14.879 Why isn't this nineteen ninety nine all over again? 0:18:15.240 --> 0:18:17.760 Oh, I think it's nothing like it, nothing like it. 0:18:17.880 --> 0:18:22.680 You have to think about put short term dynamics aside. 0:18:23.240 --> 0:18:24.879 What do you see in the long term. What we 0:18:24.920 --> 0:18:28.960 see in the long term is every application, every business, 0:18:29.000 --> 0:18:32.840 every industry can be enhanced by AI. Like it will 0:18:32.880 --> 0:18:35.040 make us more productive, it will make us more efficient, 0:18:35.640 --> 0:18:38.200 it will help solve some of the world's most difficult 0:18:38.280 --> 0:18:41.639 research problems. I'm very, very bullish on what it can 0:18:41.680 --> 0:18:45.440 do in healthcare, for example. So these are all avenues 0:18:45.560 --> 0:18:48.680 that we think the technology can make things so much better. So, yeah, 0:18:48.720 --> 0:18:51.840 we're at the very very beginnings. And I can say 0:18:51.880 --> 0:18:54.280 it because we watch it every day like it's good, 0:18:54.840 --> 0:18:57.199 but we know it can get so much better. Like 0:18:57.240 --> 0:18:59.159 we just know that these models will get so much 0:18:59.240 --> 0:19:03.560 better as you go forward. And from that standpoint, we're 0:19:03.640 --> 0:19:04.560 just at the very beginning. 0:19:05.040 --> 0:19:07.040 I want to talk a little bit about your leadership style. 0:19:07.520 --> 0:19:09.040 I've heard you don't take from. 0:19:08.840 --> 0:19:13.400 Anyone who's told you that somebody, but Seriously, I've heard 0:19:13.400 --> 0:19:16.359 your toughest nails, and I'm sure you have to be 0:19:16.760 --> 0:19:18.160 How would you describe yourself? 0:19:18.640 --> 0:19:23.320 Well, I like to win, if that's okay. But what 0:19:23.400 --> 0:19:26.480 I like is, you know, when you look at great 0:19:26.560 --> 0:19:29.200 leaders in the industry, what they really do is they 0:19:29.240 --> 0:19:32.760 make their teams better than they thought they could be. Like, 0:19:32.800 --> 0:19:36.919 that's sort of my philosophy. My philosophy is how do 0:19:37.040 --> 0:19:42.200 we do what people thought was impossible? And with that, yeah, 0:19:42.280 --> 0:19:45.600 you know, we're very ambitious. There's a lot of execution involved, 0:19:45.640 --> 0:19:48.479 but it's super fun at the end of that. And 0:19:48.760 --> 0:19:51.880 what's most fun right now is the work that we're 0:19:51.880 --> 0:19:56.880 doing is actually impacting billions of people's lives. I love 0:19:57.000 --> 0:20:00.680 saying that AMD technology is touched by billions of people 0:20:00.680 --> 0:20:03.520 every day, you know, whether you're talking about what you're 0:20:03.520 --> 0:20:06.560 doing on teams or what you're doing in collaboration environments, 0:20:06.640 --> 0:20:09.520 or what you're doing with Instagram, or what you're doing 0:20:09.560 --> 0:20:12.080 with Netflix or Uber, all of those things. Like when 0:20:12.080 --> 0:20:15.960 you touch those major brands, they're using AMD technology underneath that. 0:20:16.240 --> 0:20:18.320 And that makes me happy because that means that what 0:20:18.359 --> 0:20:20.800 we're working on is something that's important. 0:20:21.240 --> 0:20:24.639 The tech industry can't help but keep making tech that's better, faster, smarter, 0:20:24.880 --> 0:20:27.919 of course, but I also think about the consequences and 0:20:27.960 --> 0:20:30.240 the next generation who's going to live in this generative 0:20:30.280 --> 0:20:31.640 AI world. 0:20:32.240 --> 0:20:32.480