WEBVTT - Bloomberg Tech at CES 0:00:00.040 --> 0:00:13.680 Bloomberg Audio Studios, Podcasts, radio news. Bloomberg Tech is live 0:00:13.720 --> 0:00:17.520 from coast to coast with Caroline Hyde in New York 0:00:17.800 --> 0:00:19.800 and Edlavelow in San Francisco. 0:00:24.239 --> 0:00:27.680 Welcome to a special edition of Bloomberg Tech Live from 0:00:27.680 --> 0:00:30.880 CS in Las Vegas, when we will bring you conversations 0:00:30.920 --> 0:00:34.519 from the biggest names in the industry throughout the week. 0:00:35.080 --> 0:00:36.000 Of course, coming. 0:00:35.840 --> 0:00:37.800 Up on the show, we sit down with the CEO 0:00:37.880 --> 0:00:40.959 of AMD, Lisa Sou after the company announced a new 0:00:41.080 --> 0:00:43.240 chip for corporate data center use. 0:00:44.000 --> 0:00:45.879 Plus, we discussed the global EV and. 0:00:45.920 --> 0:00:50.880 ROBOTAXI landscape with Lucid Interim CEO Mark Winterhoff, and then 0:00:51.120 --> 0:00:54.200 we talked to the CEO of gaming hardware company Raiser, 0:00:54.520 --> 0:00:59.120 joining us to discuss its latest AI gaming ecosystem. But 0:00:59.320 --> 0:01:01.360 here on the or of CF we've got to get 0:01:01.400 --> 0:01:03.400 straight over to Ed Ludlow. 0:01:03.600 --> 0:01:06.240 It's standing by with the CEO of m D. 0:01:06.800 --> 0:01:06.840 Ed. 0:01:09.560 --> 0:01:13.199 Thank you, Caroline, and welcome back to Bloomberg Tech. Lisa 0:01:13.280 --> 0:01:19.280 Sue helios with I four fifty five x AMD's first 0:01:19.920 --> 0:01:23.720 RAX scale system solution. But inside it AMD's first in 0:01:23.760 --> 0:01:26.440 the world's first two nanimeter. 0:01:26.560 --> 0:01:27.760 Chip of that type. 0:01:28.319 --> 0:01:30.200 A lot was made of it when you actually just 0:01:30.200 --> 0:01:32.039 stood on stage and held it in your hands for 0:01:32.120 --> 0:01:32.760 the first time. 0:01:33.040 --> 0:01:34.160 Why is it significant? 0:01:34.280 --> 0:01:35.880 Well, first of all, Ed, it's great to be here 0:01:35.920 --> 0:01:38.399 with you at CS. I think CS is always a 0:01:38.400 --> 0:01:40.399 great way to kick off the year because you get 0:01:40.440 --> 0:01:42.840 so much perspective. So it was fun giving the keynote 0:01:42.920 --> 0:01:46.679 last night. Look, Helios is a massive system. You can 0:01:46.920 --> 0:01:49.000 see it in the background here, and m I four 0:01:49.160 --> 0:01:53.840 fifty five is just an incredibly powerful chip. And probably 0:01:53.880 --> 0:01:57.160 the context I would give Ed is, you know, one 0:01:57.200 --> 0:02:00.520 of the things that we're so clear about is that 0:02:00.600 --> 0:02:03.920 the demand for AI compute is just continuing to increase. 0:02:04.400 --> 0:02:06.120 And you know, we have seen that over the last 0:02:06.200 --> 0:02:09.519 five years. When you think about just how much new 0:02:09.560 --> 0:02:13.440 capabilities have come on board, we've now seen a real 0:02:13.480 --> 0:02:14.959 inflection in the number of people who. 0:02:14.800 --> 0:02:15.560 Are using AI. 0:02:15.800 --> 0:02:18.440 So if you think today, they're probably more than a 0:02:18.480 --> 0:02:21.840 billion active users using AI, and we expect that to 0:02:21.880 --> 0:02:25.280 scale to over five billion users over the next five years. 0:02:25.280 --> 0:02:27.760 So for all of that, you need compute and lots 0:02:27.840 --> 0:02:30.679 and lots of compute. And from that standpoint, you know, 0:02:30.800 --> 0:02:35.080 m I four fifty five is a significant leap forward 0:02:35.639 --> 0:02:38.720 in terms of technology capability made up of two and 0:02:38.760 --> 0:02:42.080 three nanometer trips, three hundred and twenty billion. 0:02:41.720 --> 0:02:44.240 Transistors, just a lot of performance and. 0:02:44.160 --> 0:02:46.240 A lot of the timeline for it to be deployed 0:02:46.280 --> 0:02:48.320 in the real world. Then then who will be the 0:02:48.360 --> 0:02:49.680 principal first user of it. 0:02:49.840 --> 0:02:51.560 You'll see it in the second half of twenty six 0:02:51.800 --> 0:02:54.040 and it will ramp from there. And you know, we 0:02:54.120 --> 0:02:58.120 have very strong partnerships open AI. Greg Brockman was on 0:02:58.160 --> 0:03:01.760 stage with us last now talking about all the. 0:03:01.760 --> 0:03:03.280 Use cases that they see. 0:03:03.639 --> 0:03:07.120 We've announced a partnership with Oracle many others as well. 0:03:07.200 --> 0:03:10.680 So given that it's two h it's in full production now, 0:03:10.680 --> 0:03:11.760 it's getting ready. 0:03:11.560 --> 0:03:14.640 To a We are absolutely getting ready to ship it. 0:03:15.080 --> 0:03:18.520 That's at one end of the sort of scale and spectrum. 0:03:18.800 --> 0:03:21.480 At the other you have m I four forty x, 0:03:21.560 --> 0:03:24.880 which is for small data centers. I'm trying to simplify it, 0:03:24.919 --> 0:03:29.080 but it's basically an enterprise product. What was it that 0:03:29.080 --> 0:03:31.120 you were trying to solve for with that? 0:03:31.560 --> 0:03:33.960 Yeah, I think what we're trying to solve for is, 0:03:34.280 --> 0:03:36.880 you know, the world is a very heterogeneous world. 0:03:37.480 --> 0:03:39.000 You have all kinds. 0:03:38.800 --> 0:03:41.600 Of use cases for AI from you know, sort of 0:03:41.640 --> 0:03:44.680 the very biggest cloud data centers that are doing you know, 0:03:44.760 --> 0:03:49.200 large scale training and inference to enterprise applications as well 0:03:49.240 --> 0:03:50.160 as supercomputers. 0:03:50.480 --> 0:03:52.400 And so we actually have a family of chips. 0:03:52.680 --> 0:03:54.880 At the highest end, is there m I four fifty 0:03:54.880 --> 0:03:58.200 five for the cloud environment. But we announced last night 0:03:58.480 --> 0:04:02.160 am I four forty, which is actually using the same 0:04:02.280 --> 0:04:06.760 basic building blocks, but is now really focused on enterprise 0:04:06.840 --> 0:04:09.240 applications so that you can go into you know, let's 0:04:09.280 --> 0:04:11.800 call it current data centers with the new technology. 0:04:12.040 --> 0:04:13.600 So we're excited about that as well. 0:04:14.160 --> 0:04:17.120 You know, there is enterprises are starting to increase their 0:04:17.160 --> 0:04:20.200 adoption of AI. In some cases they want their own 0:04:20.560 --> 0:04:23.560 control of their data centers in terms of on prem environments. 0:04:23.760 --> 0:04:25.560 What are they doing with it though, I mean, you know, 0:04:25.720 --> 0:04:29.920 we've been so fixated on frontier models with hundreds of 0:04:29.960 --> 0:04:33.240 billions of parameters and the scale of infrastructure needed for that. 0:04:33.720 --> 0:04:36.599 With m I four forty, we're talking about something slightly different. 0:04:36.600 --> 0:04:38.000 I'm just I think it's just really interesting if you 0:04:38.040 --> 0:04:41.440 could explain what the demand is from those enterprises, what 0:04:41.480 --> 0:04:43.040 they want with the technology. 0:04:43.120 --> 0:04:46.719 Well, I think you see many enterprises now using AI 0:04:47.400 --> 0:04:52.680 all throughout their business processes, whether you're talking about things 0:04:52.720 --> 0:04:57.320 in their workflow. Even AMD, we're using AI through every 0:04:57.360 --> 0:05:01.320 part of our development process. A lot of applications in 0:05:01.320 --> 0:05:05.560 financial services, in healthcare, and these are areas, especially in 0:05:05.600 --> 0:05:09.479 financial services, that people actually don't want everything necessarily in 0:05:09.520 --> 0:05:12.000 the cloud. They'd like to be able to have their 0:05:12.040 --> 0:05:16.560 own on prem deployment or private cloud deployments. And in 0:05:16.560 --> 0:05:18.720 this case, you don't want to have to build a 0:05:18.760 --> 0:05:21.280 brand new data center for every new generation of. 0:05:21.279 --> 0:05:22.760 Chip M I four P forty. 0:05:22.800 --> 0:05:25.960 Allows us to use some of those existing data centers 0:05:25.960 --> 0:05:28.400 and upgrade with the new capabilities. 0:05:28.920 --> 0:05:31.760 Welcome if you're watching us on Bloomberg Television or you're 0:05:31.760 --> 0:05:34.760 listening on Bloomberg Radio. We're live in Las Vegas and 0:05:34.800 --> 0:05:38.920 we're with AMD CEO Lisa Sue, and we're talking about 0:05:38.960 --> 0:05:39.800 the latest. 0:05:39.480 --> 0:05:41.120 Generation of accelerators. 0:05:42.760 --> 0:05:47.000 What makes this generation of AMD accelerators the better option, 0:05:47.560 --> 0:05:50.560 particularly for on prem and at the edge, over what 0:05:50.760 --> 0:05:51.960 Nvidia is offering right now. 0:05:52.080 --> 0:05:54.919 Well, the best way to think about it, ED is 0:05:55.560 --> 0:06:00.640 we're in this place where AI is adding reflect flection point. 0:06:00.680 --> 0:06:04.039 We're seeing AI now in every part of compute. We 0:06:04.160 --> 0:06:07.280 see it in the largest models. You know, when you're 0:06:07.279 --> 0:06:10.040 thinking about things like traction, PT and Gemini and Rock. 0:06:10.400 --> 0:06:13.000 You know, we're also seeing you know, many use cases 0:06:13.200 --> 0:06:19.760 in uh, you know, new capabilities like you know, video production, entertainment, healthcare, 0:06:19.880 --> 0:06:23.040 where you're doing drug discovery, all of these various things. 0:06:23.240 --> 0:06:26.200 You know, our claim to fame is really you know, 0:06:26.440 --> 0:06:30.160 outstanding performance at very advantage. 0:06:29.680 --> 0:06:30.839 Total cost of ownership. 0:06:31.120 --> 0:06:33.040 And the other thing that you know we believe very 0:06:33.040 --> 0:06:37.320 strongly in is an open ecosystem and deep partnerships, you know, 0:06:37.360 --> 0:06:41.279 with our uh you know, with our overall ecosystem coming together. 0:06:41.560 --> 0:06:44.320 So when you put those things in perspective, I think 0:06:44.320 --> 0:06:49.360 we have a great set of applications that will take 0:06:49.400 --> 0:06:51.360 advantage of these newest generationships. 0:06:51.680 --> 0:06:54.680 You mentioned that Greg Brockman, who's the Opening Eye president, 0:06:54.720 --> 0:06:56.680 was on stage with you last night, and one of 0:06:56.720 --> 0:06:59.120 the basic points that he made was there are tools 0:06:59.200 --> 0:07:02.400 and functions they would love to release and put out 0:07:02.440 --> 0:07:05.960 into the world, but they're compute constrained. I often ask 0:07:06.000 --> 0:07:08.839 you to quantify demand, but is there a way to 0:07:08.920 --> 0:07:12.720 quantify the severity in the lack of compute, you know, 0:07:12.840 --> 0:07:14.760 the deficit that's out there right now? 0:07:14.840 --> 0:07:17.000 Well, let me just give you some numbers to kind 0:07:17.040 --> 0:07:20.840 of ground what we think the demand environment is looking 0:07:20.960 --> 0:07:24.120 like so if you think, you know, today we have 0:07:24.200 --> 0:07:27.000 about a billion active users and we're ramping that to 0:07:27.280 --> 0:07:30.400 you know, five billion over the next five years, and 0:07:30.600 --> 0:07:33.280 we have about let's call it, one hundred zeta flops of. 0:07:33.320 --> 0:07:35.120 Compute you know, all around the world. 0:07:35.160 --> 0:07:39.360 And that's just a generic number that that aggregates all 0:07:39.400 --> 0:07:41.440 of that. You know, we think we have to increase 0:07:41.480 --> 0:07:46.400 compute by another one hundred times as you go over 0:07:46.440 --> 0:07:48.400 the next you know, four or five years. 0:07:48.640 --> 0:07:52.920 And I introduced a term last night, the YadA flop. 0:07:53.040 --> 0:07:54.840 You know, people are like, what is a YadA flop? 0:07:55.120 --> 0:07:56.240 A YadA flop is. 0:07:56.240 --> 0:08:00.000 Actually ten to the twenty fourth in terms of flops. 0:08:00.080 --> 0:08:03.120 That's a one followed by twenty four zeros. And to 0:08:03.200 --> 0:08:06.040 give you, you know, just a view of just how 0:08:06.160 --> 0:08:08.840 much things have really increased. I mean, that's another one 0:08:08.920 --> 0:08:12.920 hundred times more compute than we have today. So that 0:08:13.000 --> 0:08:14.840 gives you an idea. Now you think, what are you 0:08:14.840 --> 0:08:16.720 going to use all that compute for? I mean, the 0:08:16.800 --> 0:08:19.840 truth is the models that we have today are great. 0:08:20.160 --> 0:08:22.840 I mean they do amazing things. You know, we talked 0:08:22.840 --> 0:08:25.480 about a number of use cases. Uh you know, perhaps 0:08:25.840 --> 0:08:27.560 you know one that's you know, very hits very close 0:08:27.560 --> 0:08:30.480 to home, is is writing software? Like you know, people 0:08:30.520 --> 0:08:35.040 are using the AI tools right now to significantly enhance 0:08:35.040 --> 0:08:37.280 the productivity of software developers. 0:08:37.640 --> 0:08:40.640 But it's good, but it can get so much better. 0:08:40.760 --> 0:08:42.360 And I mean, I think that's the key point. 0:08:42.800 --> 0:08:42.960 You know. 0:08:43.000 --> 0:08:46.600 We we like to say that AI is really going 0:08:46.679 --> 0:08:49.360 to be everywhere, and it's really for everyone, and it's 0:08:49.400 --> 0:08:53.240 for each one of us to make our businesses more productive, 0:08:53.440 --> 0:08:56.360 you know, each one of us more productive, you know, 0:08:56.400 --> 0:08:58.839 going forward. And so we're still in the very early 0:08:58.880 --> 0:09:01.439 innings of really unlocked the power of AI. 0:09:01.600 --> 0:09:03.720 So where we stand is we Okay, there's a there's 0:09:03.720 --> 0:09:06.520 a compute deficit and software is kind of hit the 0:09:06.520 --> 0:09:10.360 limits of what current generation compute can offer. Help us 0:09:10.440 --> 0:09:14.480 understand the bottlenecks and barriers that to deploying that compute 0:09:14.960 --> 0:09:19.400 a lot at the moment about memory chips, what helps energy, electricity? 0:09:20.360 --> 0:09:24.720 What's crossing your desk, Lisa that gives you pause and say, 0:09:25.320 --> 0:09:27.080 this is this is a problem right now? 0:09:27.280 --> 0:09:31.160 Well, our job as a technology industry is to push 0:09:31.200 --> 0:09:31.960 the bleeding edge. 0:09:32.040 --> 0:09:33.000 I mean, that is our job. 0:09:33.360 --> 0:09:35.520 And so you know, when we think about like the 0:09:35.760 --> 0:09:38.360 four fifty five deploying you know, two Nanimeter and three 0:09:38.480 --> 0:09:42.240 Nanimeter chips, having the latest generation memory high bend with 0:09:42.600 --> 0:09:46.640 memory that is out there, and really deploying these big systems. 0:09:46.960 --> 0:09:50.520 The important thing is that the entire ecosystem come together 0:09:50.880 --> 0:09:55.000 and we plan together for this next big inflection in compute. 0:09:55.120 --> 0:09:58.000 And that's exactly what we're doing right now. I think 0:09:58.000 --> 0:10:00.640 we're working very closely with the entire so apply chain 0:10:01.200 --> 0:10:05.839 to ensure that we have the resources to expand this 0:10:05.920 --> 0:10:09.560 compute environment. And yes, you know, some of the things 0:10:09.559 --> 0:10:13.199 that you mentioned are let's call it constrained, but. 0:10:13.240 --> 0:10:16.160 Which is most severely So, you know, I don't. 0:10:15.920 --> 0:10:18.840 Think that's any one thing. I think we're all looking at. 0:10:18.960 --> 0:10:21.080 You know, how do we build faster? You know, certainly, 0:10:21.679 --> 0:10:24.480 you know, power is one of those areas where you know, 0:10:24.520 --> 0:10:27.400 you see throughout the world, you know, power is being 0:10:27.720 --> 0:10:32.120 brought online as fast as possible. Certainly from a silicon standpoint. 0:10:32.240 --> 0:10:35.120 You know, we're ramping our production capabilities with our partners. 0:10:35.320 --> 0:10:38.800 From a memory standpoint, our partners are ramping as well. 0:10:38.840 --> 0:10:41.080 So it's not any one thing. I think it's all 0:10:41.120 --> 0:10:44.120 of these things have to go sort of in tandem. 0:10:44.200 --> 0:10:48.000 And that's why partnership is just so important in this business. 0:10:48.520 --> 0:10:52.360 We started this conversation talking about helios first, RAC scale 0:10:53.280 --> 0:10:57.600 architecture and infrastructure from AMD, could you talk about the 0:10:57.600 --> 0:10:59.880 future and how much of the content you want to 0:11:00.040 --> 0:11:04.080 own in a server? You know, we started this story 0:11:04.640 --> 0:11:07.840 with the GPU. Frankly, if you look at what Nvidia 0:11:07.920 --> 0:11:10.280 is doing, they want to increasingly own all of what's 0:11:10.320 --> 0:11:13.680 inside the box. Is that something that AMD's focused on too. 0:11:13.920 --> 0:11:17.200 You know, what's most important for us is to ensure 0:11:17.320 --> 0:11:21.240 that we have turnkey solutions that are very, very easy 0:11:21.240 --> 0:11:23.800 for our customers to deploy, because when you think about, 0:11:24.080 --> 0:11:26.600 you know, how do you use all of this AI 0:11:26.679 --> 0:11:29.880 compute most effectively? You want it to go into the 0:11:29.960 --> 0:11:32.200 data center and you know, really be up and running 0:11:32.240 --> 0:11:34.439 on day one, and for that you have to optimize 0:11:34.440 --> 0:11:37.360 a full system. But from that standpoint, you know, we 0:11:37.520 --> 0:11:40.840 are very focused on an open ecosystem. So yes, we 0:11:40.920 --> 0:11:43.400 designed the CPUs and the GPUs and some of the 0:11:43.440 --> 0:11:46.440 networking elements, but we also work you know, really with 0:11:46.520 --> 0:11:50.600 the broad ecosystem of partners with industry standards. It's all 0:11:50.640 --> 0:11:53.280 about ensuring that you know, we get the best of 0:11:53.320 --> 0:11:56.040 all worlds when we put our solutions together. 0:11:56.679 --> 0:12:01.480 Looking ahead to m I five hundred twenty twenty that 0:12:01.600 --> 0:12:05.440 has one thousand times the performance of the I three 0:12:05.559 --> 0:12:09.199 hundred generation. So your last generation of real well deployed gear. 0:12:09.960 --> 0:12:13.240 Something's coming that's a thousand times better. How did you 0:12:13.280 --> 0:12:14.839 make it a thousand times better? 0:12:15.160 --> 0:12:19.240 It is just incredible engineering at every level. 0:12:19.280 --> 0:12:21.480 So m I four fifty five is. 0:12:21.520 --> 0:12:24.440 Ten times better than the trip that we just launched 0:12:25.120 --> 0:12:27.880 six months ago them I three fifty five and m 0:12:27.960 --> 0:12:30.679 I five hundred is another ten x you know. On 0:12:30.720 --> 0:12:33.840 top of that, we are using the most advanced technology 0:12:33.840 --> 0:12:38.000 out there. We have a very you know, very clear 0:12:38.080 --> 0:12:43.040 focus on you know, hardware, software, system code design, and 0:12:43.440 --> 0:12:46.600 it is you know, clearly the pushing the bleeding edge 0:12:46.600 --> 0:12:47.559 of capabilities. 0:12:48.280 --> 0:12:52.440 What is the status of AMD's ability to sell products 0:12:52.440 --> 0:12:53.720 into China right now? 0:12:54.640 --> 0:12:57.000 So, you know, China is an important market for us. 0:12:57.440 --> 0:12:59.360 You know, we actually sell a broad range of trips 0:12:59.360 --> 0:13:02.800 into China, including our you know, our PCs as well 0:13:02.800 --> 0:13:06.080 as you know, other embedded chips in the data sets 0:13:06.240 --> 0:13:09.680 context of course, sorry, in the data center context. We 0:13:09.760 --> 0:13:12.440 are you know, certainly we see China as an important market. 0:13:12.880 --> 0:13:16.040 We were we did get some licenses from the US government, 0:13:16.520 --> 0:13:19.240 you know, late last year as it relates to some 0:13:19.320 --> 0:13:21.559 of our previous generation are m I three oh eight 0:13:22.320 --> 0:13:24.559 you know chips, and we are in the process of 0:13:24.600 --> 0:13:28.400 applying for new licenses with our am I three twenty 0:13:28.400 --> 0:13:31.559 five chips that were recently. 0:13:32.760 --> 0:13:34.760 Allowed to apply for licenses. 0:13:34.800 --> 0:13:37.760 We haven't gotten those licenses yet, but we con continue 0:13:37.800 --> 0:13:39.280 to view China as an important market. 0:13:39.280 --> 0:13:41.280 For the reason I ask about it is in part 0:13:41.360 --> 0:13:43.920 because a lot of the work that's being done in 0:13:44.000 --> 0:13:46.960 open source models and bridging the gap between open and 0:13:47.000 --> 0:13:49.559 closed it is being done in China. To some extent, 0:13:50.600 --> 0:13:52.760 there's been able to discussion about the demands being there 0:13:52.760 --> 0:13:54.920 in China, but could you reflect a little bit on 0:13:55.240 --> 0:13:58.480 that demand, but also what the Chinese government's attitude is 0:13:58.880 --> 0:14:04.080 to you taking a later generation of tech to the country. 0:14:04.400 --> 0:14:05.640 Well, I do think. 0:14:05.520 --> 0:14:08.440 The demand for you know AI in general and in 0:14:08.520 --> 0:14:11.480 China is high for all the reasons that we talked about. 0:14:11.559 --> 0:14:14.840 I think we are in a demand environment where more 0:14:14.880 --> 0:14:18.640 compute is beneficial across the world. We think you know 0:14:18.760 --> 0:14:23.840 China is an important market for us, and it's very 0:14:23.880 --> 0:14:26.600 active in having our solutions deployed, So, you know, we 0:14:26.680 --> 0:14:29.520 continue to view it as something that's important we're working 0:14:29.560 --> 0:14:32.119 with the US government as well as our Chinese customers, 0:14:32.680 --> 0:14:33.560 you know, to find good. 0:14:33.520 --> 0:14:36.480 Solutions there, and there are signs from both governments that 0:14:36.520 --> 0:14:39.720 the licensed process is moving. Commerce is kind of notorious 0:14:39.720 --> 0:14:41.720 for things sitting on a desk for quite a long time. 0:14:41.800 --> 0:14:44.600 I think we are optimistic that, you know, we'll have 0:14:44.640 --> 0:14:47.160 an opportunity to get some of those licenses. 0:14:47.160 --> 0:14:51.120 Granted you're watching Bloomberg Television, you're listening to Bloomberg Radio, 0:14:51.200 --> 0:14:53.560 this is Bloomberg Tech, and we're live in Las Vegas 0:14:53.960 --> 0:14:58.400 with the a M d CEO Lisa Sue. Last question 0:14:58.480 --> 0:15:01.360 really in the data center context, is the markets and 0:15:01.360 --> 0:15:05.560 investors want data and signs that you're taking market share. 0:15:06.120 --> 0:15:09.080 What would the metrics be that you'd point to, either 0:15:09.080 --> 0:15:11.960 that already exists or over the coming twelve months that 0:15:12.000 --> 0:15:12.800 would evidence that. 0:15:13.160 --> 0:15:13.400 Well. 0:15:13.440 --> 0:15:14.080 I think m I. 0:15:14.040 --> 0:15:19.760 Four fifty five is a clear inflection point in both 0:15:19.800 --> 0:15:23.080 our technology capability as well as the deep partnerships that 0:15:23.120 --> 0:15:26.200 we have across the industry. So we're excited about you know, 0:15:26.240 --> 0:15:28.280 what we see in front of us, and you know, 0:15:28.360 --> 0:15:31.960 we've talked about you know, tens of billions of dollars 0:15:32.480 --> 0:15:36.640 in an AI revenue as we get into twenty twenty seven, 0:15:36.680 --> 0:15:38.880 and I think these are important metrics, you know, for 0:15:39.000 --> 0:15:42.520 us as a company. When we think about the AI potential. 0:15:43.600 --> 0:15:46.400 For all the focus on data centers, some forget that 0:15:46.600 --> 0:15:52.640 AMD is leader in PC in many respects. The forecasters 0:15:52.760 --> 0:15:56.400 have very different opinions of what will happen this year. 0:15:56.720 --> 0:16:00.880 Some see, you know, shrinking market, some see modest growth 0:16:00.920 --> 0:16:05.480 driven literally by just AIPC. You've been able to take 0:16:05.600 --> 0:16:09.440 market share and grow irrespective of what the broader conditions are, 0:16:09.600 --> 0:16:12.400 but it haven't been great. How have you done that 0:16:12.720 --> 0:16:15.600 and do you expect that to continue to be the case. 0:16:16.080 --> 0:16:19.800 Well, the PC market is a very good market for us. 0:16:19.880 --> 0:16:20.040 You know. 0:16:20.080 --> 0:16:23.200 We grew a ton in the PC market in twenty 0:16:23.280 --> 0:16:26.080 twenty five, and that really came from the strength of 0:16:26.080 --> 0:16:29.920 our product portfolio. We bet early in aipcs, so it 0:16:30.000 --> 0:16:33.480 was a clear area where we believe that the technology 0:16:33.560 --> 0:16:36.840 would generate demand. We also went through a refresh cycle 0:16:36.920 --> 0:16:40.120 with Windows eleven, and as we go into twenty twenty six, 0:16:40.400 --> 0:16:43.160 I think we'll want to see how a few quarters 0:16:43.400 --> 0:16:47.600 play out. I think the general demand for computing is 0:16:47.600 --> 0:16:51.120 certainly there. There are some supplies chain constraints that you 0:16:51.160 --> 0:16:52.960 know we're working through and we want to you know, 0:16:53.000 --> 0:16:56.440 watch going forward. But you know, our case is one 0:16:56.520 --> 0:16:59.960 where we are still underrepresented in parts of the market. 0:17:00.080 --> 0:17:02.720 It you know, we are very very strong in gaming, 0:17:02.800 --> 0:17:05.840 we're very strong in consumer. I think we're underrepresented in 0:17:06.000 --> 0:17:09.240 enterprise laptops and we view this as a growth area 0:17:09.320 --> 0:17:09.680 for us. 0:17:09.720 --> 0:17:11.159 Does AI PC change that. 0:17:11.400 --> 0:17:16.840 Aipcs absolutely help in terms of, you know, just the 0:17:16.960 --> 0:17:21.000 upgrade cycle coming in. We're excited about some of our 0:17:21.040 --> 0:17:24.400 work with AI development systems as well. We announced a 0:17:24.440 --> 0:17:27.520 new AI development system last night that you know, we 0:17:27.560 --> 0:17:29.320 think will be also very attractive. 0:17:29.640 --> 0:17:32.440 Those constraints you were talking about in the PC context 0:17:32.800 --> 0:17:35.240 are specifically dram or it's broader than that. 0:17:35.600 --> 0:17:37.000 It's more around the memory side. 0:17:37.040 --> 0:17:39.600 So when you think about you know, memory overall, I 0:17:39.680 --> 0:17:43.119 think we have so much demand coming from let's call 0:17:43.160 --> 0:17:46.440 it AI data center compute that we want to see 0:17:46.480 --> 0:17:48.280 how it impacts, you know, sort of the rest of 0:17:48.320 --> 0:17:49.960 the memory market out there. 0:17:50.440 --> 0:17:53.840 One of the other areas that you discussed with Greg 0:17:53.840 --> 0:17:57.280 Brockman on stage from Open AI was sort of the 0:17:57.359 --> 0:18:01.760 net or broad economic impact of AI, not just for 0:18:02.080 --> 0:18:05.880 the companies. I think you were talking more about global economy. 0:18:06.680 --> 0:18:10.080 Again very difficulty, So that how does one measure progress 0:18:11.280 --> 0:18:14.160 in whether AI has or has not had a direct 0:18:14.760 --> 0:18:17.640 positive economic impact around the world in any given year. 0:18:18.240 --> 0:18:19.640 You know, It's true, it's. 0:18:19.440 --> 0:18:22.360 Hard to deconvolve all of the things that are happening. 0:18:22.400 --> 0:18:25.400 But I think from a sense of you know, what 0:18:25.440 --> 0:18:28.480 we see in the business, and you know, many people 0:18:28.600 --> 0:18:32.800 want to see direct return on investment for a particular 0:18:32.960 --> 0:18:35.720 a set of investments, what I would say is that 0:18:36.800 --> 0:18:39.320 we know that AI is making a difference in a 0:18:39.320 --> 0:18:42.040 productivity of companies. We know that I can see that, 0:18:42.119 --> 0:18:44.240 you know, within a m D in terms of as 0:18:44.280 --> 0:18:47.400 we deploy AI, you know, we're able to get products 0:18:47.400 --> 0:18:50.679 to market faster, We're able to you know, significantly improve 0:18:50.720 --> 0:18:53.199 some of our business processes. So you know, as we 0:18:53.280 --> 0:18:55.880 go forward over the next several years, I think you're 0:18:55.880 --> 0:18:57.760 going to see that much broader enterprises. 0:18:58.480 --> 0:19:01.240 Every CEO that I talked to is talking about AI. 0:19:01.320 --> 0:19:03.840 It is front and center in terms of how to 0:19:03.880 --> 0:19:07.080 build a better company, how to build a better portfolio, 0:19:07.240 --> 0:19:09.760 and so you know, I think what you know Greg 0:19:09.880 --> 0:19:12.239 was talking about is when you aggregate all of that 0:19:13.640 --> 0:19:17.639 AI has to impact, you know, the world at a 0:19:17.880 --> 0:19:21.520 GDP level, and we'll see that over the next few years. 0:19:22.160 --> 0:19:25.440 You're watching Bloomberg Television, you're listening to Bloomberg Radio. This 0:19:25.480 --> 0:19:28.000 is Bloomberg Tech and we're live in Las Vegas. We're 0:19:28.000 --> 0:19:31.880 speaking to a m d's CEO, Lisa Sue. You are 0:19:32.000 --> 0:19:37.240 an investor in Generative Baronics, also technology partner, and they 0:19:37.240 --> 0:19:40.560 have unveiled a humanoid robot here at Las Vegas ces. 0:19:40.680 --> 0:19:43.000 In fact, if the magic of television can happen, and 0:19:43.040 --> 0:19:44.440 we cut to the y gen, we actually see it 0:19:44.520 --> 0:19:45.200 in the background. 0:19:45.440 --> 0:19:45.560 Right. 0:19:46.119 --> 0:19:51.640 You know, this is the first tangible sign I feel 0:19:51.680 --> 0:19:53.800 we've seen from AM and D on how you intend 0:19:53.800 --> 0:19:58.080 to play in physical AI. Yes, explain your strategy. It 0:19:58.200 --> 0:19:59.879 is the next big market, right. 0:20:00.160 --> 0:20:03.080 Yes, And I wouldn't say it's the first time, but 0:20:03.119 --> 0:20:06.560 it's probably one of the areas where we don't highlight 0:20:06.600 --> 0:20:09.119 as much because there's so much focused on data center 0:20:09.160 --> 0:20:13.000 and cloud and the opportunities there are, you know, very much. 0:20:12.840 --> 0:20:13.480 In front of us. 0:20:13.600 --> 0:20:15.760 But when we look at physical AI, you know, starting 0:20:15.840 --> 0:20:19.600 from all of the work we've done in FPGAs and 0:20:19.720 --> 0:20:23.280 embedded real time capability, we have been in this space 0:20:23.359 --> 0:20:25.439 for a long time. You know, we already power a 0:20:25.480 --> 0:20:29.560 lot of robotic applications you know out there. But I 0:20:29.600 --> 0:20:33.440 think as we go into the humanoid capability, and you know, 0:20:33.480 --> 0:20:36.320 we're excited about our partnership with uh you know, g 0:20:36.480 --> 0:20:40.240 Bionics and the work with on June one, I think 0:20:40.280 --> 0:20:43.359 that takes us to another level in terms of capability 0:20:43.400 --> 0:20:45.800 and intelligence and what we're trying to do so. 0:20:46.080 --> 0:20:48.520 Is the business model to be all things the brain 0:20:48.640 --> 0:20:51.879 inside of the humanoid robot and inference side that, the 0:20:51.960 --> 0:20:54.440 underlying software being traded on a trained on a m 0:20:54.520 --> 0:20:55.400 D accelerators. 0:20:55.520 --> 0:20:57.119 Just I don't what's the go to the market, I 0:20:57.119 --> 0:20:58.360 guess is what I'm asking. 0:20:58.400 --> 0:21:02.399 You should expect that our partnerships extend all through all 0:21:02.400 --> 0:21:05.760 of those levels. So we have the components that can 0:21:06.200 --> 0:21:08.720 power the humanoid robots, you know, sort of real time 0:21:08.920 --> 0:21:12.439 local capability, which is a very very important, and then 0:21:12.480 --> 0:21:15.760 we also have the technology behind that in terms of 0:21:15.840 --> 0:21:20.120 you know, how to train and inference on these humanoids. 0:21:20.560 --> 0:21:23.439 When last we met in person, it was in Washington, 0:21:23.520 --> 0:21:23.720 d C. 0:21:24.400 --> 0:21:29.360 And the President had just outlined a broad strategy for 0:21:29.440 --> 0:21:35.040 America in AI and it really centered around infrastructure deregulation 0:21:35.359 --> 0:21:39.520 allowing those building the infrastructure to move faster. That was 0:21:39.600 --> 0:21:41.840 kind of in the second half of last year. In 0:21:41.880 --> 0:21:44.440 the months that have followed, have you seen any signs 0:21:44.480 --> 0:21:47.760 that it worked and anything that you could point to 0:21:48.240 --> 0:21:51.520 that says, yeah, people are able to build faster maybe 0:21:51.560 --> 0:21:52.960 to address. 0:21:52.600 --> 0:21:55.040 Some of the compute deficits. We discussed, well, I. 0:21:55.000 --> 0:21:58.480 Can say for sure, you know, the President's AI Action Plan. 0:21:58.720 --> 0:22:00.680 You know, when we met, now this was back in 0:22:00.760 --> 0:22:02.080 July when it came out. 0:22:02.640 --> 0:22:03.720 I was very. 0:22:03.560 --> 0:22:09.199 Optimistic about having a really forward leaning strategy from you know, 0:22:09.280 --> 0:22:12.520 sort of the whole view of what does it take 0:22:12.560 --> 0:22:15.040 for the US to lead an AI. And I think 0:22:15.080 --> 0:22:18.000 we've made a ton of progress along the way. And 0:22:18.200 --> 0:22:21.520 you know, I had Michael Kratzios joined us last night 0:22:21.560 --> 0:22:24.359 on stage as well to talk about the Genesis Mission, 0:22:24.400 --> 0:22:27.280 which is you know, another you know, sort of public 0:22:27.359 --> 0:22:31.760 private partnership approach to really advance science in the United States. 0:22:31.760 --> 0:22:33.960 And when you look at you know, all of these things, 0:22:34.320 --> 0:22:38.040 you know, building faster, ensuring that we have you know, 0:22:38.080 --> 0:22:40.960 the right export controls so that we were able to 0:22:41.160 --> 0:22:45.040 have the US stack adopted across. 0:22:44.359 --> 0:22:45.440 The right export controls. 0:22:45.520 --> 0:22:49.600 Currently, we are certainly working very closely with you know, 0:22:49.640 --> 0:22:52.119 the the various parties in the US government to ensure 0:22:52.160 --> 0:22:55.080 that we have the right balance there. And we also 0:22:55.160 --> 0:22:57.480 have you know, this notion of how do we invest 0:22:57.560 --> 0:23:00.880 more here and ensure that in the the United States 0:23:00.920 --> 0:23:05.040 that we are running as fast as possible to bring 0:23:05.119 --> 0:23:08.680 you know, AI capacity you know online, to help us 0:23:08.720 --> 0:23:10.600 in you know, science and you know sort of the 0:23:10.640 --> 0:23:13.040 broader you know, economic benefits. 0:23:13.840 --> 0:23:18.320 Lisa, what happens in twenty twenty six, what happens in 0:23:18.359 --> 0:23:20.360 the world of AI, and what do you think will 0:23:20.400 --> 0:23:23.160 define this year in terms of the progress that your 0:23:23.400 --> 0:23:24.480 industry hopes to make. 0:23:24.720 --> 0:23:28.000 Well, I started our keynote last night with the sentence 0:23:28.080 --> 0:23:30.040 that you know, you ain't seen nothing yet. 0:23:30.480 --> 0:23:32.920 That's really how I feel. I mean, we're sitting here. 0:23:32.800 --> 0:23:38.119 In January, and it's just amazing how much progress is made, 0:23:38.560 --> 0:23:40.800 you know, every week and every month, when we see 0:23:40.840 --> 0:23:43.119 how these models are developing, when we see how the 0:23:43.240 --> 0:23:45.760 use cases are developing, and then when we see the 0:23:45.800 --> 0:23:50.399 tangible results on businesses and outcomes. I believe that you know, 0:23:50.440 --> 0:23:54.320 we saw a good amount of that, you know, come 0:23:54.359 --> 0:23:56.520 to fruition in twenty twenty five. We're going to see 0:23:56.640 --> 0:23:58.800 much more of that in twenty twenty six, so that 0:23:59.240 --> 0:24:02.480 everyone should understand that, you know, AI is not just 0:24:03.000 --> 0:24:04.960 you know, hype out there. It's not just you know, 0:24:05.160 --> 0:24:07.080 sort of things that people are talking about in the 0:24:07.119 --> 0:24:10.800 investment community. It's things that people are using every day, 0:24:11.000 --> 0:24:14.359 real time and feeling like, Hey, my life is better 0:24:14.760 --> 0:24:17.439 because I have this technology, and I think we're going 0:24:17.480 --> 0:24:18.680 to see that in twenty twenty six. 0:24:18.960 --> 0:24:23.119 Lisa Suit AMD CEOMD with it's in the world's first 0:24:23.119 --> 0:24:26.439 two animeter chip going into Helos, its first rack scale 0:24:26.880 --> 0:24:31.840 system solution carry back to you on set in Las Vegas. 0:24:33.960 --> 0:24:35.520 What an extraordinary conversation. 0:24:35.680 --> 0:24:38.760 Ed Ludlow, as always with Lisa Su of AMD, of course, 0:24:38.760 --> 0:24:41.639 took to the stage last night alongside Greg Bruckman of 0:24:41.680 --> 0:24:43.320 Open AI, and we're just going to check it on 0:24:43.359 --> 0:24:47.000 the shares because there were significant statements coming from Lisa 0:24:47.000 --> 0:24:48.960 throughout that interview with Ed. We are off by three 0:24:49.000 --> 0:24:51.679 point three percent, even if she continues to articulate how 0:24:51.760 --> 0:24:54.639 much computer is going to need to increase one hundred 0:24:54.760 --> 0:24:57.760 times in the next four to five years, talking about 0:24:57.800 --> 0:25:00.479 the early innings that we're at in terms of unlocking AI, 0:25:00.880 --> 0:25:03.879 and really talking up the MI four fifty five, pushing 0:25:03.880 --> 0:25:06.480 at the bleeding edge of capability. They're also talking about 0:25:06.480 --> 0:25:09.160 the demand they have in AI for China in particular, 0:25:09.240 --> 0:25:11.879 Chinese demand is high. They're working with the government as 0:25:11.920 --> 0:25:14.920 it stands for finding solutions to be able to ship 0:25:15.000 --> 0:25:17.679 through China. Also talk about how they're underrepresented and enterprise 0:25:17.800 --> 0:25:20.080 laptops as well. What by three point three percent though, 0:25:20.080 --> 0:25:23.040 because seeing JP Morgan saying look like in video, AMD's 0:25:23.040 --> 0:25:26.400 outlook for compute demand is very bullish, and they're hearing 0:25:26.440 --> 0:25:29.159 about the Mi five hundred series coming on course for 0:25:29.240 --> 0:25:32.439 twenty twenty seven launch, but not much new according to 0:25:32.440 --> 0:25:35.359 Morgan Stanley in terms of brand new information and video 0:25:35.440 --> 0:25:37.040 is up four tenser percent. Is maybe we've got a 0:25:37.119 --> 0:25:39.800 little bit more detail on the Rubin unveil, on the 0:25:39.800 --> 0:25:42.160 fact that six chips have already come back on their 0:25:42.160 --> 0:25:46.520 next innovations, the next architecture for their compute and we're 0:25:46.520 --> 0:25:48.719 seeing that they're already back they're likely to be shipping 0:25:48.840 --> 0:25:51.000 in the course of twenty twenty six, but also talking 0:25:51.080 --> 0:25:53.840 up the future of self driving vehicles within video, a 0:25:53.880 --> 0:25:56.320 new platform to rival maybe even a Tesla. Enol must 0:25:56.320 --> 0:25:58.440 says I'm not losing sleep over that. But we're also 0:25:58.480 --> 0:26:01.280 hearing about the future robotics coming from in video as well, 0:26:01.320 --> 0:26:04.400 and demand for h two hundreds coming from China. 0:26:04.520 --> 0:26:05.280 So so much to. 0:26:05.240 --> 0:26:08.200 Digest on these particular stocks, so much skill to learn 0:26:08.280 --> 0:26:11.560 here in Las Vegas. And we're going to be sitting down, 0:26:11.800 --> 0:26:15.640 of course, with the CEO of Nvidia, that is Jensen 0:26:15.720 --> 0:26:21.080 Wang and Zeeman's CEO, ronand Bush right here from Las Vegas. 0:26:21.080 --> 0:26:24.400 From CES coming up, we are going to be talking though, 0:26:24.480 --> 0:26:27.720 right alongside not only these leaders who are speaking with Ed. 0:26:27.760 --> 0:26:29.439 Ludlow in the next few hours. 0:26:29.600 --> 0:26:31.040 In the next few minutes, you're going to be hearing 0:26:31.080 --> 0:26:34.119 from the Lucid interim CEO Mark Winterhoff. We're going to 0:26:34.160 --> 0:26:37.760 be discussing the future of global evs, the industry, the 0:26:37.760 --> 0:26:41.920 company's robotaxi partnership with Ubo, with neuro, how are they 0:26:41.960 --> 0:26:44.960 intertwining within video, how are they thinking about the future 0:26:44.960 --> 0:26:47.960 of self driving platform there as well. So much to 0:26:47.960 --> 0:26:51.120 get to in terms of supply chain as well. Stick 0:26:51.160 --> 0:27:01.359 here we are from the Consumer Electronics Show in Las Vegas. 0:27:03.840 --> 0:27:06.200 Welcome back to a very special edition of Blomberg Tech 0:27:06.280 --> 0:27:07.680 Live from Las Vegas. 0:27:07.800 --> 0:27:08.480 In CEES. 0:27:08.920 --> 0:27:10.840 Quick check on these markets as we stand, because we've 0:27:10.840 --> 0:27:13.200 had some big announcements over here at the Consumer and 0:27:13.240 --> 0:27:16.760 Electronics Show. Key among them has been from Nvidia and 0:27:16.800 --> 0:27:19.040 from AMD. Now VideA up a quarter of a percent. 0:27:19.080 --> 0:27:21.439 At the moment we hear about the future of Rubin, 0:27:21.520 --> 0:27:23.800 we hear about how it's coming on track already. Manufacturing 0:27:23.800 --> 0:27:26.159 partners are bringing back six sets of chips for the 0:27:26.200 --> 0:27:29.399 next stage architecture. They're talking about new self driving platform, 0:27:29.400 --> 0:27:31.760 they thinking about robotics and video catching a bit only 0:27:31.760 --> 0:27:34.080 about a quarter of a percentage point, AMD down three 0:27:34.119 --> 0:27:35.919 point eight percent, even as we hear lisas who are 0:27:35.920 --> 0:27:38.919 talking about the one hundred x compute need over the 0:27:38.920 --> 0:27:40.879 next four to five years and how they're going to 0:27:40.880 --> 0:27:43.439 be satisfying it with their next generation of chips, but 0:27:43.520 --> 0:27:45.840 not enough new for the market to get its head around. 0:27:45.840 --> 0:27:47.479 It would feel. Now's that one hundred and up four 0:27:47.480 --> 0:27:48.000 tenser percent. 0:27:48.040 --> 0:27:50.359 Let's move on to somewhere at big movers, though, because 0:27:50.359 --> 0:27:53.960 amid these announcements come the ramifications of the ripple effects 0:27:54.200 --> 0:27:58.600 on other key companies. Johnson Controls check out, we're off 0:27:58.640 --> 0:28:02.199 by eight percent, but this is cooling and several equipment 0:28:02.240 --> 0:28:04.159 company in many ways that's looking at the ways in 0:28:04.200 --> 0:28:08.240 which you cool down in videos chips, Well, maybe you 0:28:08.240 --> 0:28:10.040 won't need air to do that in the future, maybe 0:28:10.040 --> 0:28:12.040 be able to cool them with water cooling, And that 0:28:12.119 --> 0:28:15.680 sends them shivers down. Some supplier's spines that we've seen 0:28:15.680 --> 0:28:17.320 were off by eight point five percent. Some of the 0:28:17.359 --> 0:28:19.800 markets saying there's a bit of overreaction, So says Berkley's 0:28:19.800 --> 0:28:20.879 Tesla off by four percent. 0:28:21.440 --> 0:28:23.280 Is this the concern. 0:28:22.960 --> 0:28:25.880 Around a self driving platform being built by Nvidia? Well, 0:28:26.000 --> 0:28:27.960 in I must post it on X yesterday that it's not. 0:28:28.600 --> 0:28:30.920 He's not losing any sleep over it. But for now 0:28:31.000 --> 0:28:32.879 there's a little bit of a reason to be selling Tesla. 0:28:32.920 --> 0:28:36.119 After its rally yesterday, sand Disc out twenty four percent, 0:28:36.480 --> 0:28:39.360 and this is as we hear, actually the still unbelievable 0:28:39.520 --> 0:28:43.680 need for memory and memory storage stand Disc once again 0:28:43.880 --> 0:28:46.760 managing to feel the ripple effects of Jensen Wang's words. 0:28:46.800 --> 0:28:49.680 He said that on stage yesterday, and sand Disc rallies 0:28:49.760 --> 0:28:52.600 higher along with other memory companies such as Micron. But 0:28:52.680 --> 0:28:55.200 let's talk about other announcements being made here at CES, 0:28:55.600 --> 0:28:56.280 and among them. 0:28:56.200 --> 0:28:56.960 Is from Lucid. 0:28:57.000 --> 0:29:01.240 Because Lucid, neuro and Uber they're bringing their robotaxi ambitions 0:29:01.240 --> 0:29:03.840 to life. I'm bailing a new autonomous vehicle right here 0:29:03.960 --> 0:29:07.239 at ces Mark went Tohart Lucid interim CEO joins us. 0:29:07.240 --> 0:29:09.720 Now I'm very pleased to say, why is your robotaxi 0:29:09.760 --> 0:29:10.400 going to be different? 0:29:11.240 --> 0:29:16.040 Well, I guess it's the integration of our leading ev technology, 0:29:16.200 --> 0:29:18.000 the luxury experience that the. 0:29:18.080 --> 0:29:19.400 Lucid gravity provides. 0:29:19.760 --> 0:29:23.000 We're still neurodriver, you know, in bringing this to market 0:29:23.080 --> 0:29:26.360 very very very fast, because I mean from when we 0:29:26.400 --> 0:29:29.320 all came together, the three of us, to when we 0:29:29.440 --> 0:29:30.960 plan to roll it out by the end of the 0:29:31.000 --> 0:29:34.280 year in a paid service, actually it's less than eighteen months. 0:29:34.640 --> 0:29:36.960 And if you do that in that short period of time, 0:29:37.400 --> 0:29:39.760 that's actually a very unique thing by itself. 0:29:39.800 --> 0:29:41.440 But the product excel itself. 0:29:41.920 --> 0:29:45.880 We are now unveiled the production intent design. It's much 0:29:45.920 --> 0:29:48.560 more integrated, less you know, a lot of different things 0:29:48.560 --> 0:29:52.480 on the edges of the vehicle, more integrated, and so 0:29:52.560 --> 0:29:54.960 it's going to be a very very good experience for 0:29:55.000 --> 0:29:55.480 the customer. 0:29:56.160 --> 0:29:59.160 Will it always take that form the relationship of neuro 0:29:59.440 --> 0:30:03.320 uber and yourself, because we've just had Jensen involved unveiling 0:30:03.440 --> 0:30:05.560 his own self driving platform. 0:30:05.680 --> 0:30:06.880 Would that be integrated? 0:30:06.880 --> 0:30:09.080 Would you be an OEM that uses that more directly 0:30:09.080 --> 0:30:09.720 for the consumer. 0:30:10.360 --> 0:30:14.040 In fact, we announced a couple of months ago and 0:30:14.480 --> 0:30:17.920 partnership is Nvidia on exactly that topic. So we're also 0:30:18.000 --> 0:30:21.960 using Nvidia Drive for our gravity but for our B 0:30:22.000 --> 0:30:25.040 two C customers, So the same thing that it was 0:30:25.080 --> 0:30:28.640 basically announced yesterday with Mercedes, we will also have by 0:30:28.640 --> 0:30:30.880 the end of this year in our Lucid gravity and 0:30:31.000 --> 0:30:34.400 when we come with our midsized platform also the end 0:30:34.480 --> 0:30:36.600 of this year, it will have this from the start 0:30:37.520 --> 0:30:40.400 in that what we don't stop there. We will actually 0:30:40.520 --> 0:30:43.480 next step is L three where you actually have mind 0:30:43.560 --> 0:30:47.000 off on the highway, and then that will is planned 0:30:47.040 --> 0:30:50.040 for twenty twenty eight, and then L four we're planning 0:30:50.080 --> 0:30:52.680 together as in Vidia by twenty twenty nine. 0:30:52.680 --> 0:30:54.360 For our B two C customers. 0:30:54.360 --> 0:30:58.200 So it's different, it's a different path than on robot taxis, 0:30:58.520 --> 0:31:01.040 but we will also continue to evolve for our robot 0:31:01.040 --> 0:31:01.840 taxi ambitions. 0:31:02.000 --> 0:31:04.360 Will the regulation be there by twenty twenty nine? 0:31:04.440 --> 0:31:06.040 Is that what you're banking on, Well, that's what we're 0:31:06.080 --> 0:31:07.760 banking on here, absolutely, yeah. 0:31:07.800 --> 0:31:11.880 And more probably, how do you see therefore the ecosystem evolving? 0:31:12.280 --> 0:31:14.840 What in twenty twenty nine will I own. 0:31:16.560 --> 0:31:17.880 You mean a car. 0:31:17.880 --> 0:31:20.680 Or robotaxis that are already on offering. If I choose between, 0:31:20.680 --> 0:31:22.640 waymo I can use between Uber, I could get in 0:31:22.640 --> 0:31:24.680 your car. In that respect, do I need to therefore 0:31:24.680 --> 0:31:26.960 really own my own Lucidy? 0:31:27.400 --> 0:31:28.400 You will? You will? 0:31:28.440 --> 0:31:30.200 I think I don't think that we get to a 0:31:30.240 --> 0:31:33.480 point where there will be only robotaxis, because use cases, 0:31:33.680 --> 0:31:36.480 for instance, in inner cities, you know, or short runs 0:31:36.520 --> 0:31:40.200 make sense robotaxis. But you also want to be able to, 0:31:40.640 --> 0:31:43.280 you know, make it your own vehicle. You don't want 0:31:43.320 --> 0:31:45.600 to go into something where somebody else was just sitting in. 0:31:45.760 --> 0:31:47.400 Or let's say, if you have a family, you have 0:31:47.840 --> 0:31:51.120 more than one kit you need, you know, a child seat. 0:31:51.600 --> 0:31:53.160 Do you want to lock this around and put it 0:31:53.200 --> 0:31:55.560 into a robotaxi and then take it out again? 0:31:55.600 --> 0:31:57.040 I mean, it's not feasible. 0:31:57.520 --> 0:31:59.480 It's not feasible anyway. 0:31:59.560 --> 0:32:02.800 They will always be both, you know, and but I 0:32:02.800 --> 0:32:05.200 think what is very very important is on the not 0:32:05.240 --> 0:32:09.440 only on the robotaxi side, but also on the the 0:32:09.480 --> 0:32:13.280 retail customer side. You want to choose do I want 0:32:13.320 --> 0:32:15.480 to be driven or do I do want to drive myself? 0:32:15.520 --> 0:32:18.480 In particular, our cars are known how great they drive, 0:32:19.320 --> 0:32:21.600 and that actually That's a very important thing because I 0:32:21.640 --> 0:32:24.440 mean evs very often are you know, kind of like 0:32:24.480 --> 0:32:28.520 stigmatized with oh, that's the sustainable choice and it's expensive 0:32:28.600 --> 0:32:32.040 and it needs incentives. That is not true. Our cars, 0:32:32.040 --> 0:32:36.200 for instance, they drive fantastic. They actually have better performance 0:32:36.240 --> 0:32:39.080 than internal combustion engines if you compare them in their 0:32:39.120 --> 0:32:42.320 in their real in their real comparative competitors set. So 0:32:42.360 --> 0:32:44.600 I think this will go away over time that you 0:32:44.840 --> 0:32:48.880 have that the conversation between internal combustion engines and evs, 0:32:48.960 --> 0:32:50.600 and evs will will win in the end. 0:32:50.920 --> 0:32:53.960 Well, let's talk about where Lucid is at this moment, 0:32:54.040 --> 0:32:56.760 because last year it was a painful year in. 0:32:56.800 --> 0:32:58.000 Terms of stock performance. 0:32:58.320 --> 0:33:00.880 You were having to cut down grade how many cars 0:33:00.880 --> 0:33:02.480 you were going to be able to produce, and suddenly 0:33:02.680 --> 0:33:05.880 rumped at the end of the year. You've delivered significant 0:33:05.960 --> 0:33:08.640 production in Q four. How does that scale? 0:33:08.800 --> 0:33:10.920 Yeah, So, I mean I have to say I'm very 0:33:10.960 --> 0:33:12.920 proud of what the team pulled off. I mean, we 0:33:12.960 --> 0:33:15.240 had and I was very vocal about is we had 0:33:15.520 --> 0:33:19.960 issues with ramping up our gravity our first suv supply chain, 0:33:20.280 --> 0:33:23.360 it was supply chain, several supply chain issues. I mean, 0:33:23.960 --> 0:33:26.680 whold twenty twenty five was full of you know, surprises, 0:33:26.840 --> 0:33:28.600 let's put it that way, not only for us, also 0:33:28.640 --> 0:33:34.080 for the whole industry. But then we're still delivered in 0:33:34.160 --> 0:33:38.400 Q four our eighth consecutive record Coode on deliveries as well. 0:33:38.640 --> 0:33:40.680 You know that means the last two years, every single 0:33:40.760 --> 0:33:44.360 quarter we increased our deliveries. And when it comes to production, 0:33:44.840 --> 0:33:48.280 we increased the production for the whole year by more 0:33:48.280 --> 0:33:50.600 than one hundred percent, and just in the in the 0:33:50.680 --> 0:33:53.640 last quarter from Q three to Q four even that 0:33:54.080 --> 0:33:56.920 by more than one hundred percent. So we're really now 0:33:57.040 --> 0:33:59.479 ramping up, and we solved the supply chain issues. 0:34:00.360 --> 0:34:02.160 So twenty twenty six will not be a supply chain 0:34:02.160 --> 0:34:02.960 headache issue. 0:34:03.400 --> 0:34:04.520 Not that what I know of. 0:34:04.640 --> 0:34:07.120 I mean last year, if you would have asked me 0:34:07.160 --> 0:34:09.560 the same question in January, I would say the same thing, 0:34:09.719 --> 0:34:11.760 and then a couple of things happened. 0:34:12.960 --> 0:34:16.759 What happened was a trade war and tariffs. How have 0:34:16.840 --> 0:34:19.480 you changed your supply chain with Asia in particular. 0:34:19.320 --> 0:34:22.360 Yeah, well, I mean this is still a process because 0:34:23.000 --> 0:34:24.680 you cannot do this from one day to the other 0:34:24.840 --> 0:34:28.040 if you have building Actually, by the way, all of 0:34:28.080 --> 0:34:30.400 our vehicles right now are built in the United States, 0:34:30.640 --> 0:34:33.440 but still we have components coming from other parts of 0:34:33.480 --> 0:34:37.319 the world, and we are in process to localize this 0:34:37.680 --> 0:34:41.040 in order to not have to pay the tariffs. As 0:34:41.080 --> 0:34:45.160 an example, one very big element of our bill of 0:34:45.160 --> 0:34:47.960 material is the batteries, and right now they come either 0:34:48.000 --> 0:34:51.960 from Korea or bigger trunk actually from Japan, and we 0:34:52.000 --> 0:34:55.640 will localize this to the United States mid of this year, 0:34:55.760 --> 0:34:57.719 so that will actually help already quite a bit. 0:34:57.880 --> 0:34:59.239 But there's still more work to do. 0:35:00.120 --> 0:35:03.040 We are making those decisions as we go in order 0:35:03.080 --> 0:35:05.759 to bring more things stateside. 0:35:05.280 --> 0:35:08.640 In order to save that Where is lucid space In 0:35:08.719 --> 0:35:11.400 terms of global market share, We've just heard that Byd 0:35:11.520 --> 0:35:14.640 has become the number one EV producer in the world, 0:35:14.800 --> 0:35:18.040 eclipsing Tesla. Tesla still has significant chunk of share. We 0:35:18.160 --> 0:35:20.520 see Shao Me grow in China as well. Where do 0:35:20.560 --> 0:35:20.839 you fit. 0:35:21.239 --> 0:35:25.200 Well, here's the thing when these days when people talk 0:35:25.239 --> 0:35:30.759 about evs, they mix everybody up, meaning BYD, Tesla and 0:35:31.280 --> 0:35:36.120 Shaomi or anything else and us and us we are 0:35:36.360 --> 0:35:39.200 a luxury manufacturer right now, we're not playing the same 0:35:39.239 --> 0:35:42.200 price point as right now for we don't have yet. 0:35:42.320 --> 0:35:43.960 We will, but we don't have yet. 0:35:44.000 --> 0:35:47.000 The the fifty thousand dollars or even less or for 0:35:47.120 --> 0:35:48.359 we we want to yes. 0:35:48.320 --> 0:35:49.719 That Tesla has. 0:35:49.960 --> 0:35:53.120 The Chinese are actually further down when you look in 0:35:53.120 --> 0:35:57.120 in the Chinese market, I mean you cannot make money there. 0:35:57.160 --> 0:35:58.839 And we have, by the way, no plans to go 0:35:58.920 --> 0:36:01.759 to China because I don't think there's any way to 0:36:01.880 --> 0:36:06.880 make a profit. Therefore a Western om coming in. But 0:36:06.960 --> 0:36:10.640 we think in our luxury space, what we offer luxury, 0:36:10.640 --> 0:36:12.600 and I would also say premium because we will go 0:36:12.719 --> 0:36:17.000 down to the premium sector around about fifty thousand dollars. 0:36:17.000 --> 0:36:19.520 That's what we will do, yes, absolutely, but we don't 0:36:19.560 --> 0:36:21.319 have no plans to go down to I don't know 0:36:21.360 --> 0:36:25.160 thirty twenty thousand dollars, and that's where the bulk of 0:36:25.280 --> 0:36:28.279 the sales of the Chinese are right now. 0:36:28.360 --> 0:36:32.600 When you look at the level higher then it's not 0:36:32.680 --> 0:36:33.080 that great. 0:36:34.239 --> 0:36:35.600 We love speaking with you here. 0:36:35.760 --> 0:36:38.759 Congratulations on the announcement a future of Robotaxis and of 0:36:39.120 --> 0:36:40.480 consumer owned lucids. 0:36:41.160 --> 0:36:44.560 Mark Wenthoff, the interim CEO of that business. 0:36:44.719 --> 0:36:47.360 Coming up, We've got a gaming conversation for you, Raiser, 0:36:47.640 --> 0:36:50.640 looking to AI to enhance the gaming experience was the 0:36:50.719 --> 0:36:52.720 CEO Mignantan that's next. 0:36:52.840 --> 0:37:02.880 That's a Bruett Tech gaming company, Raiser. 0:37:03.040 --> 0:37:06.080 Well, it's unveiled a suite of new AI products and 0:37:06.480 --> 0:37:10.160 enhancing the gaming experience. This is say Minyang Tan Raise, 0:37:10.200 --> 0:37:12.480 the CEO, joins us now to talk about how your 0:37:12.560 --> 0:37:15.560 roots are in gaming hardware. We know you for the seats, 0:37:15.560 --> 0:37:18.120 for the headphones, for the mouse, but you want to 0:37:18.120 --> 0:37:21.000 be an AI ecosystem. How do you frame this to 0:37:21.040 --> 0:37:21.640 your users? 0:37:21.800 --> 0:37:24.600 Well, first up, you know, for us at Razer, we've 0:37:24.600 --> 0:37:27.759 been building the ecosystem in the gaming space. Well from 0:37:27.840 --> 0:37:31.480 hardware perspective, many people are familiar with us for the hardware, 0:37:31.640 --> 0:37:34.480 but over and above, from a software perspective, we've got 0:37:34.480 --> 0:37:37.160 over one hundred and fifty million users on our platform. 0:37:37.160 --> 0:37:40.320 We've got about seventy thousand developers just developping on our tools. 0:37:40.560 --> 0:37:41.719 Over and above, we've. 0:37:41.480 --> 0:37:45.080 Also built out one of the largest payment networks for gaming. 0:37:45.360 --> 0:37:47.000 So that's been the ecosystem we've got. 0:37:47.080 --> 0:37:50.040 But over the years, we've been building AI for ourselves 0:37:50.080 --> 0:37:52.480 because we believe that AI gaming is going to be 0:37:52.640 --> 0:37:55.200 completely disrupting, changing things. 0:37:55.000 --> 0:37:55.760 In the gaming space. 0:37:55.840 --> 0:37:58.480 So you know, we've been looking at everything from AI 0:37:58.480 --> 0:38:01.120 gaming tools for developers, we've been looking at things for 0:38:01.280 --> 0:38:03.360 gamers and at CS, we've got a whole bunch of 0:38:03.560 --> 0:38:05.240 super exciting lineup for everyone. 0:38:05.400 --> 0:38:06.920 Okay, so let's talk about the lineup. 0:38:06.960 --> 0:38:08.960 I think about, in particular some of the hardware the 0:38:09.000 --> 0:38:12.480 headphones that in many ways are going to rival smart glasses. 0:38:12.840 --> 0:38:14.640 Talk us through these headphones and how they work and 0:38:14.640 --> 0:38:15.840 why they're AI enabled. 0:38:15.920 --> 0:38:19.080 Sure, you're talking about Project Motoco, So we've unveiled. 0:38:18.680 --> 0:38:19.879 That at CES. 0:38:20.400 --> 0:38:24.160 First up, we think smart glasses are great, but headphones, 0:38:24.200 --> 0:38:27.279 it's already a universal form factor. We're not looking to 0:38:27.320 --> 0:38:29.880 bring a new form factor through the gamers the users. 0:38:29.880 --> 0:38:33.480 And we're one of the largest producers of gaming headphones 0:38:33.520 --> 0:38:36.600 in the world at Razer. So what we do is that, well, 0:38:36.680 --> 0:38:39.360 I think the entire installed base today for headphones in 0:38:39.360 --> 0:38:42.160 the world is about one point five billion headphones, and 0:38:42.480 --> 0:38:45.600 we're talking about perhaps every year there's about four hundred 0:38:45.640 --> 0:38:48.319 million new headphones being shipped at any point of time. 0:38:48.360 --> 0:38:49.720 The refresh rate is really great. 0:38:50.120 --> 0:38:53.000 And what we've done is that we've taken a common 0:38:53.360 --> 0:38:56.360 universal form factor and we've added AI smarts to it. 0:38:56.560 --> 0:38:59.440 So it's got dual Project in Motoko has got dual 0:38:59.560 --> 0:39:01.400 four K cameras. 0:39:00.960 --> 0:39:02.480 To provide vision in. 0:39:04.000 --> 0:39:07.399 Absolutely well, it provides vision to the AI assistant. We've 0:39:07.400 --> 0:39:09.920 got far field micro to get audio. So in short, 0:39:10.000 --> 0:39:13.400 what we've got is a AI wearable which is universal. 0:39:13.680 --> 0:39:16.120 It's going to be easy to just provide the smarts 0:39:16.120 --> 0:39:18.280 cross to it. It works with all the models out there, 0:39:18.680 --> 0:39:21.280 it works with grog chat, GBT, so on and so forth, 0:39:21.560 --> 0:39:24.840 and essentially we've now got AI smarts for every single 0:39:24.840 --> 0:39:27.160 gamer and every single person out there. 0:39:27.640 --> 0:39:29.960 So you're thinking that this will make a leap from 0:39:29.960 --> 0:39:32.879 not just gamers but others who just want to use 0:39:32.920 --> 0:39:34.200 it as a tool in the house. 0:39:34.360 --> 0:39:35.160 Well, if you. 0:39:35.080 --> 0:39:38.719 Look at how gaming as a whole pretty much leads 0:39:38.760 --> 0:39:41.920 a lot of innovation out there. If you're talking about 0:39:42.080 --> 0:39:45.160 social networks, all that came from gaming first. Even AI 0:39:45.440 --> 0:39:48.600 in the GPUs, it started just with gaming. So the 0:39:48.640 --> 0:39:51.320 way that we see it is that a vast amount 0:39:51.320 --> 0:39:54.960 of innovation comes from gaming, and essentially we'll see the 0:39:55.040 --> 0:39:57.880 gamers adopted first and then the rest of the world. 0:39:58.280 --> 0:40:01.040 Let's talk about six hundred million dollars spending. Where is 0:40:01.040 --> 0:40:01.960 that going to be deployed on? 0:40:02.080 --> 0:40:03.880 Is R and D? Is it talent? Is it compute? 0:40:04.040 --> 0:40:05.600 Well, pretty much all of the above. 0:40:06.200 --> 0:40:08.640 In terms of R and D, We've been hiring AI scientists, 0:40:08.760 --> 0:40:12.480 We've been working on our internal tools. That's expensive, expensive, 0:40:12.680 --> 0:40:16.400 but multimodel. I think in terms of that, and we 0:40:16.600 --> 0:40:20.080 believe that where AI is going, we're going to see 0:40:20.320 --> 0:40:23.640 EI vertical companies come up. And for us, we are 0:40:23.719 --> 0:40:26.200 hyper focused in terms of AI gaming. Where we see 0:40:26.200 --> 0:40:30.399 a massive opportunity for ourselves. It's the entire industry from 0:40:30.480 --> 0:40:33.880 gaming being able to use AI tools develop new games. 0:40:34.560 --> 0:40:38.319 Gamers will be able to use AI hardware, software and 0:40:38.400 --> 0:40:41.680 services to get a more immersive and engaging experience. 0:40:42.120 --> 0:40:44.200 But some are uncomfortable. 0:40:44.520 --> 0:40:46.840 Some are worried about AI slots, Some are worried about 0:40:46.880 --> 0:40:51.879 their own gaming experience not being as well high end 0:40:51.920 --> 0:40:55.040 as it had usually been. How do you counteract some 0:40:55.120 --> 0:40:57.960 of that slight growing backlash to these of AI and 0:40:57.960 --> 0:40:58.680 gaming development. 0:40:58.800 --> 0:41:01.840 So I'm a gamer, I'm not wild about AI slop either. 0:41:02.080 --> 0:41:04.680 But what we are talking about at Razer is providing 0:41:04.719 --> 0:41:08.640 the tools across the developers to develop even better games. 0:41:08.880 --> 0:41:11.840 So it's not about generative AI, it's about for example, 0:41:11.920 --> 0:41:12.640 QA Companion. 0:41:12.640 --> 0:41:14.440 We're coming up with QA Companion. 0:41:14.200 --> 0:41:18.920 To allow game developers to shorten the time cycles to 0:41:18.960 --> 0:41:21.799 do quolicy assurance for a game. Over and above, we're 0:41:21.840 --> 0:41:23.880 looking at other ways in which we can reduce the 0:41:23.960 --> 0:41:26.480 cost for game developers so that they can spend more 0:41:26.520 --> 0:41:30.239 time in terms of creativity, in terms of being able 0:41:30.239 --> 0:41:33.120 to build even better games. So for US, AI is 0:41:33.120 --> 0:41:36.440 about augmenting the experience rather than replacing it. 0:41:36.480 --> 0:41:38.839 But you have said that you think one or two 0:41:38.920 --> 0:41:41.600 mega games will be AI created in the future. 0:41:41.800 --> 0:41:43.920 Well, I think all of the games in the future 0:41:44.160 --> 0:41:46.880 will have some level of AI tools who assist it, 0:41:47.400 --> 0:41:50.640 whether it's in terms of designing better workflows, whether it's 0:41:50.640 --> 0:41:54.040 in terms of doing better QA. In short, I would 0:41:54.040 --> 0:41:58.479 say that AI has the opportunity to really provide even better, 0:41:58.560 --> 0:42:02.080 more immersive games, even more competitive games in the future. 0:42:02.680 --> 0:42:04.040 You have flown from Singapore. 0:42:04.320 --> 0:42:07.480 You're an interesting company that's got presence in California but 0:42:07.520 --> 0:42:08.480 also in Asia. 0:42:08.600 --> 0:42:10.880 How does the supply chain look right now for you? 0:42:11.080 --> 0:42:13.360 Amid what was a pretty turferent in twenty twenty five, It. 0:42:13.440 --> 0:42:15.320 Was an exciting time, I must say. So we're a 0:42:15.360 --> 0:42:18.560 dual headquartered in the US and in Singapore. I think 0:42:18.560 --> 0:42:21.080 in terms of supply chain, we spent a lot of time. 0:42:21.120 --> 0:42:23.120 I think because we ship globally. A third of our 0:42:23.120 --> 0:42:25.000 businesses in the US, a third in Europe, a third 0:42:25.040 --> 0:42:28.160 in Asia. We have a truly global company. But we've 0:42:28.200 --> 0:42:29.959 been able to kind of work through our supply chain 0:42:30.000 --> 0:42:33.080 in terms of getting the components done in terms of shipments, 0:42:33.360 --> 0:42:35.160 and we are still looking at it every day. 0:42:35.680 --> 0:42:36.520 Okay, well, it's. 0:42:36.360 --> 0:42:37.439 Been wonderful for having you here. 0:42:37.760 --> 0:42:39.920 Thank you, Thank you for talking us through the announcements 0:42:39.920 --> 0:42:41.640 some of the new gear and the supply chain. 0:42:41.520 --> 0:42:44.840 That goes with that. Menyangtan of course, the CEO of Razor. 0:42:45.120 --> 0:42:47.719 Coming up, We're going to be breaking down more of 0:42:47.760 --> 0:42:48.640 the news coming out. 0:42:48.480 --> 0:42:50.640 Of the Consumer Electronics show right here in Vegas. Stick 0:42:50.719 --> 0:42:51.040 with us. 0:42:51.160 --> 0:43:03.040 This is bloombag Tech, very specialisation of Bloomberg Tech live 0:43:03.040 --> 0:43:05.120 from Las Vegas. We are checking on a Nvidia that 0:43:05.239 --> 0:43:07.880 is up seven tenths of a percent, actually managing to 0:43:08.040 --> 0:43:09.560 rally a little bit more on the day as we 0:43:09.600 --> 0:43:12.640 hear that Nvidia is saying that the US government is 0:43:12.680 --> 0:43:16.439 working hard on China license approvals. Of course, we're trying 0:43:16.440 --> 0:43:18.319 to understand when they will get the approvals for H 0:43:18.360 --> 0:43:20.560 two hundreds to really get done and start shipping to China. 0:43:20.600 --> 0:43:21.480 If China wants them. 0:43:21.480 --> 0:43:24.040 But Jenson Wang last night saying that there is strong 0:43:24.080 --> 0:43:26.839 demand in China for his H two hundreds, and more broadly, 0:43:26.840 --> 0:43:29.960 there's strong demand for his Blackwell and he's already managing 0:43:29.960 --> 0:43:33.240 to get back the six prototypes. Already got six chips 0:43:33.239 --> 0:43:36.440 from the VIRAA architecture from the manufacturing partners and will 0:43:36.440 --> 0:43:39.080 ship them in the course of twenty twenty six as well. 0:43:39.320 --> 0:43:41.840 So mayly some moon music. That sounded very optimistic. 0:43:41.840 --> 0:43:44.440 He's also talking about the future of self driving a 0:43:44.520 --> 0:43:48.520 platform being unveiled, and also robotics. So let's talk more 0:43:48.560 --> 0:43:51.759 about what we're gonna hear unveiled at CEES. We're in 0:43:51.840 --> 0:43:54.319 full swing, maybe not behind me, as you can see 0:43:54.360 --> 0:43:57.240 the participants still waiting to come into this particular center, 0:43:57.280 --> 0:44:00.319 convention center in Las Vegas, but we're all about the announce. 0:44:00.040 --> 0:44:01.759 That's already the power the impact of AI. 0:44:01.800 --> 0:44:04.680 But in most consumer Tech editor is with this, Dana Walman, 0:44:04.880 --> 0:44:07.360 and I'm so pleased to have you here because trying 0:44:07.360 --> 0:44:10.360 to discern what the most impactful announcements are as tough. 0:44:11.040 --> 0:44:13.520 What about the robots side of things? What's catching your attention? 0:44:13.840 --> 0:44:15.680 So there are so many robots here that CS the 0:44:15.760 --> 0:44:19.080 organizers of CS have set aside a whole dedicated space 0:44:19.200 --> 0:44:22.120 just for robots this time around, and there are some 0:44:22.239 --> 0:44:23.680 that we really feel that we need to see in 0:44:23.719 --> 0:44:26.080 person when the show floor opens today. We've read, for instance, 0:44:26.080 --> 0:44:29.680 about LG's laundry folding robot, which was announced a couple 0:44:29.719 --> 0:44:31.760 days ago. But a lot of these things you really 0:44:31.800 --> 0:44:34.560 have to see them in action to fully appreciate them, 0:44:34.640 --> 0:44:36.400 or as the case may be, in some cases, not 0:44:36.520 --> 0:44:40.000 appreciate them. Say actually, this is really overhyped and maybe 0:44:40.040 --> 0:44:41.759 the demo is too tightly controlled. 0:44:42.880 --> 0:44:44.120 So that's what we're going to be looking. 0:44:43.960 --> 0:44:46.080 For today, now that the media days have settled down, 0:44:46.120 --> 0:44:47.560 and now that the show floor is opening and we 0:44:47.560 --> 0:44:49.600 can actually see some things kind of up close. 0:44:49.840 --> 0:44:51.920 Yeah, because we just had the raise of CEO on 0:44:52.040 --> 0:44:54.239 and you've been up close with some of those headphones 0:44:54.280 --> 0:44:56.440 and maybe not always in practice. 0:44:56.080 --> 0:44:57.719 They work quite as well as they would like to 0:44:57.800 --> 0:44:58.440 in the wild. 0:44:59.080 --> 0:45:02.040 What about what hasn't worked in the world, many would say, 0:45:02.239 --> 0:45:05.279 is where AI wearables. Some of them have flopped, some 0:45:05.320 --> 0:45:07.360 of them and been bought by others. Are we going 0:45:07.440 --> 0:45:08.879 to get more flavors as well? 0:45:08.960 --> 0:45:10.840 So many and what has really struck me at this 0:45:11.000 --> 0:45:13.600 show is that there are so many form factors that 0:45:13.640 --> 0:45:15.879 are not smart classes, almost as if all of these 0:45:15.920 --> 0:45:19.200 manufacturers decided that smart classes, even though it's an emerging category, 0:45:19.239 --> 0:45:20.000 are already pesse. 0:45:20.120 --> 0:45:21.680 They're already pedestrian. 0:45:21.320 --> 0:45:24.160 Necessarily owns that, yes, we need to do something else 0:45:24.200 --> 0:45:25.920 for the sake of doing something else. So you're going 0:45:25.960 --> 0:45:28.399 to see a lot of the same ideas built in 0:45:28.480 --> 0:45:30.840 microphones and cameras that can do a lot of the 0:45:30.840 --> 0:45:34.040 same things as I don't want to say traditional smart classes, 0:45:34.040 --> 0:45:37.080 but met as smart glasses, but packed into other form 0:45:37.120 --> 0:45:38.080 factors that are not. 0:45:39.920 --> 0:45:40.600 Smart glasses. 0:45:40.640 --> 0:45:43.200 I mean, for instance, without revealing anything I'm not supposed 0:45:43.239 --> 0:45:45.719 to on live TV, you may see some jewelry at 0:45:45.760 --> 0:45:48.200 the show that does a lot of the same things 0:45:48.239 --> 0:45:50.879 and it uses the same core technology, but it's just not. 0:45:50.920 --> 0:45:53.800 I mean everyone in many ways. An Orra ring is enabled, 0:45:53.840 --> 0:45:55.640 and Samsung has an AI ring. 0:45:55.520 --> 0:45:59.439 Too, yes, just not with no camera capabilities in the ring. 0:45:59.600 --> 0:46:03.000 Or to your point, the headphones that Razor just announced, 0:46:03.360 --> 0:46:05.920 they look like regular over the here over the ear. 0:46:05.760 --> 0:46:06.520 Headphones, and they are. 0:46:06.520 --> 0:46:09.279 They function as headphones, but they have dual microphones and 0:46:09.400 --> 0:46:12.640 cameras inside and can do things like offer real time translation, 0:46:12.719 --> 0:46:14.760 which is something a lot of the new smart glasses 0:46:14.800 --> 0:46:15.080 can do. 0:46:15.200 --> 0:46:19.000 Also, the multi mold, multimodal versions of AI and in 0:46:19.120 --> 0:46:21.200 wearables is where we're going to start seeing these things 0:46:21.200 --> 0:46:22.040 progress and move. 0:46:22.360 --> 0:46:24.000 Yes, it's just that if last year at CS was 0:46:24.000 --> 0:46:25.799 the year of smart glasses, this is the year of 0:46:26.280 --> 0:46:29.440 sort of TBD something else in terms of form factor. 0:46:29.520 --> 0:46:31.759 Yes, jewelry and what would you say? 0:46:31.840 --> 0:46:34.920 Sentiments like here this year because we just had from 0:46:34.920 --> 0:46:37.560 two CEOs thanks twenty twenty five who just couldn't make 0:46:37.560 --> 0:46:39.680 it up. As for what a surprise it was when 0:46:39.719 --> 0:46:42.600 it came to tariff turvenance. What do we think the 0:46:42.680 --> 0:46:44.120 makers here are feeling. 0:46:44.840 --> 0:46:48.279 Oh, the device makers, Yeah, you know, there's been some 0:46:48.440 --> 0:46:53.400 discussion at least among the laptop makers of memory shortages 0:46:53.440 --> 0:46:54.920 and the price of RAM. 0:46:54.960 --> 0:46:55.680 Some are trying not. 0:46:55.640 --> 0:46:57.319 To discuss it, but they will say, oh, by the way, 0:46:57.320 --> 0:46:59.719 this is the price of our new our new devices. 0:47:00.320 --> 0:47:02.759 And then I think otherwise there's a real effort to 0:47:02.960 --> 0:47:05.520 make consumers comfortable with AI. I think what you're going 0:47:05.560 --> 0:47:09.839 to see around the floor are either robots and not 0:47:09.880 --> 0:47:12.440 all humanoids, but different kinds of robots, and in some 0:47:12.480 --> 0:47:17.279 cases like Razors, Desktop, AI Avatar, different implementations that are 0:47:17.320 --> 0:47:20.680 either cute or anthropomorphic. We saw the other night a 0:47:20.760 --> 0:47:24.640 robotic AI dog, the cute puppy that got a lot 0:47:24.640 --> 0:47:27.200 of attention. So it does seem like the companies are 0:47:27.280 --> 0:47:31.400 very intentionally trying to make people comfortable with AI, in 0:47:31.440 --> 0:47:32.839 this case using cuteness. 0:47:33.320 --> 0:47:35.759 Cute AI bloombogs down a woman. We'll let her loose 0:47:35.800 --> 0:47:36.440 on the floor. 0:47:36.480 --> 0:47:40.040 Now, that does it for this special edition of Bloomberg 0:47:40.080 --> 0:47:43.160 Tech in an hour, an exclusive conversation with Jensen Wang 0:47:43.280 --> 0:47:43.839 stick for it. 0:47:44.000 --> 0:47:44.960 This is Bloomberg Tech