Speaker 1: Bloomberg Audio Studios, Podcasts, radio news. Bloomberg Tech is live
Speaker 1: from coast to coast with Caroline Hyde in New York
Speaker 1: and Edlavelow in San Francisco.
Speaker 2: Welcome to a special edition of Bloomberg Tech Live from
Speaker 2: CS in Las Vegas, when we will bring you conversations
Speaker 2: from the biggest names in the industry throughout the week.
Speaker 3: Of course, coming.
Speaker 2: Up on the show, we sit down with the CEO
Speaker 2: of AMD, Lisa Sou after the company announced a new
Speaker 2: chip for corporate data center use.
Speaker 3: Plus, we discussed the global EV and.
Speaker 2: ROBOTAXI landscape with Lucid Interim CEO Mark Winterhoff, and then
Speaker 2: we talked to the CEO of gaming hardware company Raiser,
Speaker 2: joining us to discuss its latest AI gaming ecosystem. But
Speaker 2: here on the or of CF we've got to get
Speaker 2: straight over to Ed Ludlow.
Speaker 3: It's standing by with the CEO of m D.
Speaker 2: Ed.
Speaker 4: Thank you, Caroline, and welcome back to Bloomberg Tech. Lisa
Speaker 4: Sue helios with I four fifty five x AMD's first
Speaker 4: RAX scale system solution. But inside it AMD's first in
Speaker 4: the world's first two nanimeter.
Speaker 5: Chip of that type.
Speaker 4: A lot was made of it when you actually just
Speaker 4: stood on stage and held it in your hands for
Speaker 4: the first time.
Speaker 5: Why is it significant?
Speaker 6: Well, first of all, Ed, it's great to be here
Speaker 6: with you at CS. I think CS is always a
Speaker 6: great way to kick off the year because you get
Speaker 6: so much perspective. So it was fun giving the keynote
Speaker 6: last night. Look, Helios is a massive system. You can
Speaker 6: see it in the background here, and m I four
Speaker 6: fifty five is just an incredibly powerful chip. And probably
Speaker 6: the context I would give Ed is, you know, one
Speaker 6: of the things that we're so clear about is that
Speaker 6: the demand for AI compute is just continuing to increase.
Speaker 6: And you know, we have seen that over the last
Speaker 6: five years. When you think about just how much new
Speaker 6: capabilities have come on board, we've now seen a real
Speaker 6: inflection in the number of people who.
Speaker 7: Are using AI.
Speaker 6: So if you think today, they're probably more than a
Speaker 6: billion active users using AI, and we expect that to
Speaker 6: scale to over five billion users over the next five years.
Speaker 6: So for all of that, you need compute and lots
Speaker 6: and lots of compute. And from that standpoint, you know,
Speaker 6: m I four fifty five is a significant leap forward
Speaker 6: in terms of technology capability made up of two and
Speaker 6: three nanometer trips, three hundred and twenty billion.
Speaker 7: Transistors, just a lot of performance and.
Speaker 4: A lot of the timeline for it to be deployed
Speaker 4: in the real world. Then then who will be the
Speaker 4: principal first user of it.
Speaker 6: You'll see it in the second half of twenty six
Speaker 6: and it will ramp from there. And you know, we
Speaker 6: have very strong partnerships open AI. Greg Brockman was on
Speaker 6: stage with us last now talking about all the.
Speaker 7: Use cases that they see.
Speaker 6: We've announced a partnership with Oracle many others as well.
Speaker 4: So given that it's two h it's in full production now,
Speaker 4: it's getting ready.
Speaker 7: To a We are absolutely getting ready to ship it.
Speaker 4: That's at one end of the sort of scale and spectrum.
Speaker 4: At the other you have m I four forty x,
Speaker 4: which is for small data centers. I'm trying to simplify it,
Speaker 4: but it's basically an enterprise product. What was it that
Speaker 4: you were trying to solve for with that?
Speaker 6: Yeah, I think what we're trying to solve for is,
Speaker 6: you know, the world is a very heterogeneous world.
Speaker 7: You have all kinds.
Speaker 6: Of use cases for AI from you know, sort of
Speaker 6: the very biggest cloud data centers that are doing you know,
Speaker 6: large scale training and inference to enterprise applications as well
Speaker 6: as supercomputers.
Speaker 7: And so we actually have a family of chips.
Speaker 6: At the highest end, is there m I four fifty
Speaker 6: five for the cloud environment. But we announced last night
Speaker 6: am I four forty, which is actually using the same
Speaker 6: basic building blocks, but is now really focused on enterprise
Speaker 6: applications so that you can go into you know, let's
Speaker 6: call it current data centers with the new technology.
Speaker 7: So we're excited about that as well.
Speaker 6: You know, there is enterprises are starting to increase their
Speaker 6: adoption of AI. In some cases they want their own
Speaker 6: control of their data centers in terms of on prem environments.
Speaker 4: What are they doing with it though, I mean, you know,
Speaker 4: we've been so fixated on frontier models with hundreds of
Speaker 4: billions of parameters and the scale of infrastructure needed for that.
Speaker 4: With m I four forty, we're talking about something slightly different.
Speaker 4: I'm just I think it's just really interesting if you
Speaker 4: could explain what the demand is from those enterprises, what
Speaker 4: they want with the technology.
Speaker 6: Well, I think you see many enterprises now using AI
Speaker 6: all throughout their business processes, whether you're talking about things
Speaker 6: in their workflow. Even AMD, we're using AI through every
Speaker 6: part of our development process. A lot of applications in
Speaker 6: financial services, in healthcare, and these are areas, especially in
Speaker 6: financial services, that people actually don't want everything necessarily in
Speaker 6: the cloud. They'd like to be able to have their
Speaker 6: own on prem deployment or private cloud deployments. And in
Speaker 6: this case, you don't want to have to build a
Speaker 6: brand new data center for every new generation of.
Speaker 7: Chip M I four P forty.
Speaker 6: Allows us to use some of those existing data centers
Speaker 6: and upgrade with the new capabilities.
Speaker 4: Welcome if you're watching us on Bloomberg Television or you're
Speaker 4: listening on Bloomberg Radio. We're live in Las Vegas and
Speaker 4: we're with AMD CEO Lisa Sue, and we're talking about
Speaker 4: the latest.
Speaker 5: Generation of accelerators.
Speaker 4: What makes this generation of AMD accelerators the better option,
Speaker 4: particularly for on prem and at the edge, over what
Speaker 4: Nvidia is offering right now.
Speaker 6: Well, the best way to think about it, ED is
Speaker 6: we're in this place where AI is adding reflect flection point.
Speaker 6: We're seeing AI now in every part of compute. We
Speaker 6: see it in the largest models. You know, when you're
Speaker 6: thinking about things like traction, PT and Gemini and Rock.
Speaker 6: You know, we're also seeing you know, many use cases
Speaker 6: in uh, you know, new capabilities like you know, video production, entertainment, healthcare,
Speaker 6: where you're doing drug discovery, all of these various things.
Speaker 6: You know, our claim to fame is really you know,
Speaker 6: outstanding performance at very advantage.
Speaker 7: Total cost of ownership.
Speaker 6: And the other thing that you know we believe very
Speaker 6: strongly in is an open ecosystem and deep partnerships, you know,
Speaker 6: with our uh you know, with our overall ecosystem coming together.
Speaker 6: So when you put those things in perspective, I think
Speaker 6: we have a great set of applications that will take
Speaker 6: advantage of these newest generationships.
Speaker 4: You mentioned that Greg Brockman, who's the Opening Eye president,
Speaker 4: was on stage with you last night, and one of
Speaker 4: the basic points that he made was there are tools
Speaker 4: and functions they would love to release and put out
Speaker 4: into the world, but they're compute constrained. I often ask
Speaker 4: you to quantify demand, but is there a way to
Speaker 4: quantify the severity in the lack of compute, you know,
Speaker 4: the deficit that's out there right now?
Speaker 6: Well, let me just give you some numbers to kind
Speaker 6: of ground what we think the demand environment is looking
Speaker 6: like so if you think, you know, today we have
Speaker 6: about a billion active users and we're ramping that to
Speaker 6: you know, five billion over the next five years, and
Speaker 6: we have about let's call it, one hundred zeta flops of.
Speaker 7: Compute you know, all around the world.
Speaker 6: And that's just a generic number that that aggregates all
Speaker 6: of that. You know, we think we have to increase
Speaker 6: compute by another one hundred times as you go over
Speaker 6: the next you know, four or five years.
Speaker 7: And I introduced a term last night, the YadA flop.
Speaker 7: You know, people are like, what is a YadA flop?
Speaker 7: A YadA flop is.
Speaker 6: Actually ten to the twenty fourth in terms of flops.
Speaker 6: That's a one followed by twenty four zeros. And to
Speaker 6: give you, you know, just a view of just how
Speaker 6: much things have really increased. I mean, that's another one
Speaker 6: hundred times more compute than we have today. So that
Speaker 6: gives you an idea. Now you think, what are you
Speaker 6: going to use all that compute for? I mean, the
Speaker 6: truth is the models that we have today are great.
Speaker 6: I mean they do amazing things. You know, we talked
Speaker 6: about a number of use cases. Uh you know, perhaps
Speaker 6: you know one that's you know, very hits very close
Speaker 6: to home, is is writing software? Like you know, people
Speaker 6: are using the AI tools right now to significantly enhance
Speaker 6: the productivity of software developers.
Speaker 7: But it's good, but it can get so much better.
Speaker 7: And I mean, I think that's the key point.
Speaker 4: You know.
Speaker 6: We we like to say that AI is really going
Speaker 6: to be everywhere, and it's really for everyone, and it's
Speaker 6: for each one of us to make our businesses more productive,
Speaker 6: you know, each one of us more productive, you know,
Speaker 6: going forward. And so we're still in the very early
Speaker 6: innings of really unlocked the power of AI.
Speaker 4: So where we stand is we Okay, there's a there's
Speaker 4: a compute deficit and software is kind of hit the
Speaker 4: limits of what current generation compute can offer. Help us
Speaker 4: understand the bottlenecks and barriers that to deploying that compute
Speaker 4: a lot at the moment about memory chips, what helps energy, electricity?
Speaker 4: What's crossing your desk, Lisa that gives you pause and say,
Speaker 4: this is this is a problem right now?
Speaker 6: Well, our job as a technology industry is to push
Speaker 6: the bleeding edge.
Speaker 7: I mean, that is our job.
Speaker 6: And so you know, when we think about like the
Speaker 6: four fifty five deploying you know, two Nanimeter and three
Speaker 6: Nanimeter chips, having the latest generation memory high bend with
Speaker 6: memory that is out there, and really deploying these big systems.
Speaker 6: The important thing is that the entire ecosystem come together
Speaker 6: and we plan together for this next big inflection in compute.
Speaker 6: And that's exactly what we're doing right now. I think
Speaker 6: we're working very closely with the entire so apply chain
Speaker 6: to ensure that we have the resources to expand this
Speaker 6: compute environment. And yes, you know, some of the things
Speaker 6: that you mentioned are let's call it constrained, but.
Speaker 5: Which is most severely So, you know, I don't.
Speaker 6: Think that's any one thing. I think we're all looking at.
Speaker 6: You know, how do we build faster? You know, certainly,
Speaker 6: you know, power is one of those areas where you know,
Speaker 6: you see throughout the world, you know, power is being
Speaker 6: brought online as fast as possible. Certainly from a silicon standpoint.
Speaker 6: You know, we're ramping our production capabilities with our partners.
Speaker 6: From a memory standpoint, our partners are ramping as well.
Speaker 6: So it's not any one thing. I think it's all
Speaker 6: of these things have to go sort of in tandem.
Speaker 6: And that's why partnership is just so important in this business.
Speaker 4: We started this conversation talking about helios first, RAC scale
Speaker 4: architecture and infrastructure from AMD, could you talk about the
Speaker 4: future and how much of the content you want to
Speaker 4: own in a server? You know, we started this story
Speaker 4: with the GPU. Frankly, if you look at what Nvidia
Speaker 4: is doing, they want to increasingly own all of what's
Speaker 4: inside the box. Is that something that AMD's focused on too.
Speaker 6: You know, what's most important for us is to ensure
Speaker 6: that we have turnkey solutions that are very, very easy
Speaker 6: for our customers to deploy, because when you think about,
Speaker 6: you know, how do you use all of this AI
Speaker 6: compute most effectively? You want it to go into the
Speaker 6: data center and you know, really be up and running
Speaker 6: on day one, and for that you have to optimize
Speaker 6: a full system. But from that standpoint, you know, we
Speaker 6: are very focused on an open ecosystem. So yes, we
Speaker 6: designed the CPUs and the GPUs and some of the
Speaker 6: networking elements, but we also work you know, really with
Speaker 6: the broad ecosystem of partners with industry standards. It's all
Speaker 6: about ensuring that you know, we get the best of
Speaker 6: all worlds when we put our solutions together.
Speaker 4: Looking ahead to m I five hundred twenty twenty that
Speaker 4: has one thousand times the performance of the I three
Speaker 4: hundred generation. So your last generation of real well deployed gear.
Speaker 4: Something's coming that's a thousand times better. How did you
Speaker 4: make it a thousand times better?
Speaker 6: It is just incredible engineering at every level.
Speaker 7: So m I four fifty five is.
Speaker 6: Ten times better than the trip that we just launched
Speaker 6: six months ago them I three fifty five and m
Speaker 6: I five hundred is another ten x you know. On
Speaker 6: top of that, we are using the most advanced technology
Speaker 6: out there. We have a very you know, very clear
Speaker 6: focus on you know, hardware, software, system code design, and
Speaker 6: it is you know, clearly the pushing the bleeding edge
Speaker 6: of capabilities.
Speaker 4: What is the status of AMD's ability to sell products
Speaker 4: into China right now?
Speaker 6: So, you know, China is an important market for us.
Speaker 6: You know, we actually sell a broad range of trips
Speaker 6: into China, including our you know, our PCs as well
Speaker 6: as you know, other embedded chips in the data sets
Speaker 6: context of course, sorry, in the data center context. We
Speaker 6: are you know, certainly we see China as an important market.
Speaker 6: We were we did get some licenses from the US government,
Speaker 6: you know, late last year as it relates to some
Speaker 6: of our previous generation are m I three oh eight
Speaker 6: you know chips, and we are in the process of
Speaker 6: applying for new licenses with our am I three twenty
Speaker 6: five chips that were recently.
Speaker 7: Allowed to apply for licenses.
Speaker 6: We haven't gotten those licenses yet, but we con continue
Speaker 6: to view China as an important market.
Speaker 4: For the reason I ask about it is in part
Speaker 4: because a lot of the work that's being done in
Speaker 4: open source models and bridging the gap between open and
Speaker 4: closed it is being done in China. To some extent,
Speaker 4: there's been able to discussion about the demands being there
Speaker 4: in China, but could you reflect a little bit on
Speaker 4: that demand, but also what the Chinese government's attitude is
Speaker 4: to you taking a later generation of tech to the country.
Speaker 3: Well, I do think.
Speaker 6: The demand for you know AI in general and in
Speaker 6: China is high for all the reasons that we talked about.
Speaker 6: I think we are in a demand environment where more
Speaker 6: compute is beneficial across the world. We think you know
Speaker 6: China is an important market for us, and it's very
Speaker 6: active in having our solutions deployed, So, you know, we
Speaker 6: continue to view it as something that's important we're working
Speaker 6: with the US government as well as our Chinese customers,
Speaker 6: you know, to find good.
Speaker 4: Solutions there, and there are signs from both governments that
Speaker 4: the licensed process is moving. Commerce is kind of notorious
Speaker 4: for things sitting on a desk for quite a long time.
Speaker 6: I think we are optimistic that, you know, we'll have
Speaker 6: an opportunity to get some of those licenses.
Speaker 4: Granted you're watching Bloomberg Television, you're listening to Bloomberg Radio,
Speaker 4: this is Bloomberg Tech, and we're live in Las Vegas
Speaker 4: with the a M d CEO Lisa Sue. Last question
Speaker 4: really in the data center context, is the markets and
Speaker 4: investors want data and signs that you're taking market share.
Speaker 4: What would the metrics be that you'd point to, either
Speaker 4: that already exists or over the coming twelve months that
Speaker 4: would evidence that.
Speaker 5: Well.
Speaker 7: I think m I.
Speaker 6: Four fifty five is a clear inflection point in both
Speaker 6: our technology capability as well as the deep partnerships that
Speaker 6: we have across the industry. So we're excited about you know,
Speaker 6: what we see in front of us, and you know,
Speaker 6: we've talked about you know, tens of billions of dollars
Speaker 6: in an AI revenue as we get into twenty twenty seven,
Speaker 6: and I think these are important metrics, you know, for
Speaker 6: us as a company. When we think about the AI potential.
Speaker 4: For all the focus on data centers, some forget that
Speaker 4: AMD is leader in PC in many respects. The forecasters
Speaker 4: have very different opinions of what will happen this year.
Speaker 4: Some see, you know, shrinking market, some see modest growth
Speaker 4: driven literally by just AIPC. You've been able to take
Speaker 4: market share and grow irrespective of what the broader conditions are,
Speaker 4: but it haven't been great. How have you done that
Speaker 4: and do you expect that to continue to be the case.
Speaker 7: Well, the PC market is a very good market for us.
Speaker 5: You know.
Speaker 6: We grew a ton in the PC market in twenty
Speaker 6: twenty five, and that really came from the strength of
Speaker 6: our product portfolio. We bet early in aipcs, so it
Speaker 6: was a clear area where we believe that the technology
Speaker 6: would generate demand. We also went through a refresh cycle
Speaker 6: with Windows eleven, and as we go into twenty twenty six,
Speaker 6: I think we'll want to see how a few quarters
Speaker 6: play out. I think the general demand for computing is
Speaker 6: certainly there. There are some supplies chain constraints that you
Speaker 6: know we're working through and we want to you know,
Speaker 6: watch going forward. But you know, our case is one
Speaker 6: where we are still underrepresented in parts of the market.
Speaker 6: It you know, we are very very strong in gaming,
Speaker 6: we're very strong in consumer. I think we're underrepresented in
Speaker 6: enterprise laptops and we view this as a growth area
Speaker 6: for us.
Speaker 5: Does AI PC change that.
Speaker 6: Aipcs absolutely help in terms of, you know, just the
Speaker 6: upgrade cycle coming in. We're excited about some of our
Speaker 6: work with AI development systems as well. We announced a
Speaker 6: new AI development system last night that you know, we
Speaker 6: think will be also very attractive.
Speaker 4: Those constraints you were talking about in the PC context
Speaker 4: are specifically dram or it's broader than that.
Speaker 7: It's more around the memory side.
Speaker 6: So when you think about you know, memory overall, I
Speaker 6: think we have so much demand coming from let's call
Speaker 6: it AI data center compute that we want to see
Speaker 6: how it impacts, you know, sort of the rest of
Speaker 6: the memory market out there.
Speaker 4: One of the other areas that you discussed with Greg
Speaker 4: Brockman on stage from Open AI was sort of the
Speaker 4: net or broad economic impact of AI, not just for
Speaker 4: the companies. I think you were talking more about global economy.
Speaker 4: Again very difficulty, So that how does one measure progress
Speaker 4: in whether AI has or has not had a direct
Speaker 4: positive economic impact around the world in any given year.
Speaker 7: You know, It's true, it's.
Speaker 6: Hard to deconvolve all of the things that are happening.
Speaker 6: But I think from a sense of you know, what
Speaker 6: we see in the business, and you know, many people
Speaker 6: want to see direct return on investment for a particular
Speaker 6: a set of investments, what I would say is that
Speaker 6: we know that AI is making a difference in a
Speaker 6: productivity of companies. We know that I can see that,
Speaker 6: you know, within a m D in terms of as
Speaker 6: we deploy AI, you know, we're able to get products
Speaker 6: to market faster, We're able to you know, significantly improve
Speaker 6: some of our business processes. So you know, as we
Speaker 6: go forward over the next several years, I think you're
Speaker 6: going to see that much broader enterprises.
Speaker 7: Every CEO that I talked to is talking about AI.
Speaker 6: It is front and center in terms of how to
Speaker 6: build a better company, how to build a better portfolio,
Speaker 6: and so you know, I think what you know Greg
Speaker 6: was talking about is when you aggregate all of that
Speaker 6: AI has to impact, you know, the world at a
Speaker 6: GDP level, and we'll see that over the next few years.
Speaker 4: You're watching Bloomberg Television, you're listening to Bloomberg Radio. This
Speaker 4: is Bloomberg Tech and we're live in Las Vegas. We're
Speaker 4: speaking to a m d's CEO, Lisa Sue. You are
Speaker 4: an investor in Generative Baronics, also technology partner, and they
Speaker 4: have unveiled a humanoid robot here at Las Vegas ces.
Speaker 4: In fact, if the magic of television can happen, and
Speaker 4: we cut to the y gen, we actually see it
Speaker 4: in the background.
Speaker 8: Right.
Speaker 4: You know, this is the first tangible sign I feel
Speaker 4: we've seen from AM and D on how you intend
Speaker 4: to play in physical AI. Yes, explain your strategy. It
Speaker 4: is the next big market, right.
Speaker 6: Yes, And I wouldn't say it's the first time, but
Speaker 6: it's probably one of the areas where we don't highlight
Speaker 6: as much because there's so much focused on data center
Speaker 6: and cloud and the opportunities there are, you know, very much.
Speaker 7: In front of us.
Speaker 6: But when we look at physical AI, you know, starting
Speaker 6: from all of the work we've done in FPGAs and
Speaker 6: embedded real time capability, we have been in this space
Speaker 6: for a long time. You know, we already power a
Speaker 6: lot of robotic applications you know out there. But I
Speaker 6: think as we go into the humanoid capability, and you know,
Speaker 6: we're excited about our partnership with uh you know, g
Speaker 6: Bionics and the work with on June one, I think
Speaker 6: that takes us to another level in terms of capability
Speaker 6: and intelligence and what we're trying to do so.
Speaker 4: Is the business model to be all things the brain
Speaker 4: inside of the humanoid robot and inference side that, the
Speaker 4: underlying software being traded on a trained on a m
Speaker 4: D accelerators.
Speaker 5: Just I don't what's the go to the market, I
Speaker 5: guess is what I'm asking.
Speaker 6: You should expect that our partnerships extend all through all
Speaker 6: of those levels. So we have the components that can
Speaker 6: power the humanoid robots, you know, sort of real time
Speaker 6: local capability, which is a very very important, and then
Speaker 6: we also have the technology behind that in terms of
Speaker 6: you know, how to train and inference on these humanoids.
Speaker 5: When last we met in person, it was in Washington,
Speaker 5: d C.
Speaker 4: And the President had just outlined a broad strategy for
Speaker 4: America in AI and it really centered around infrastructure deregulation
Speaker 4: allowing those building the infrastructure to move faster. That was
Speaker 4: kind of in the second half of last year. In
Speaker 4: the months that have followed, have you seen any signs
Speaker 4: that it worked and anything that you could point to
Speaker 4: that says, yeah, people are able to build faster maybe
Speaker 4: to address.
Speaker 5: Some of the compute deficits. We discussed, well, I.
Speaker 6: Can say for sure, you know, the President's AI Action Plan.
Speaker 6: You know, when we met, now this was back in
Speaker 6: July when it came out.
Speaker 7: I was very.
Speaker 6: Optimistic about having a really forward leaning strategy from you know,
Speaker 6: sort of the whole view of what does it take
Speaker 6: for the US to lead an AI. And I think
Speaker 6: we've made a ton of progress along the way. And
Speaker 6: you know, I had Michael Kratzios joined us last night
Speaker 6: on stage as well to talk about the Genesis Mission,
Speaker 6: which is you know, another you know, sort of public
Speaker 6: private partnership approach to really advance science in the United States.
Speaker 6: And when you look at you know, all of these things,
Speaker 6: you know, building faster, ensuring that we have you know,
Speaker 6: the right export controls so that we were able to
Speaker 6: have the US stack adopted across.
Speaker 5: The right export controls.
Speaker 6: Currently, we are certainly working very closely with you know,
Speaker 6: the the various parties in the US government to ensure
Speaker 6: that we have the right balance there. And we also
Speaker 6: have you know, this notion of how do we invest
Speaker 6: more here and ensure that in the the United States
Speaker 6: that we are running as fast as possible to bring
Speaker 6: you know, AI capacity you know online, to help us
Speaker 6: in you know, science and you know sort of the
Speaker 6: broader you know, economic benefits.
Speaker 4: Lisa, what happens in twenty twenty six, what happens in
Speaker 4: the world of AI, and what do you think will
Speaker 4: define this year in terms of the progress that your
Speaker 4: industry hopes to make.
Speaker 6: Well, I started our keynote last night with the sentence
Speaker 6: that you know, you ain't seen nothing yet.
Speaker 7: That's really how I feel. I mean, we're sitting here.
Speaker 6: In January, and it's just amazing how much progress is made,
Speaker 6: you know, every week and every month, when we see
Speaker 6: how these models are developing, when we see how the
Speaker 6: use cases are developing, and then when we see the
Speaker 6: tangible results on businesses and outcomes. I believe that you know,
Speaker 6: we saw a good amount of that, you know, come
Speaker 6: to fruition in twenty twenty five. We're going to see
Speaker 6: much more of that in twenty twenty six, so that
Speaker 6: everyone should understand that, you know, AI is not just
Speaker 6: you know, hype out there. It's not just you know,
Speaker 6: sort of things that people are talking about in the
Speaker 6: investment community. It's things that people are using every day,
Speaker 6: real time and feeling like, Hey, my life is better
Speaker 6: because I have this technology, and I think we're going
Speaker 6: to see that in twenty twenty six.
Speaker 4: Lisa Suit AMD CEOMD with it's in the world's first
Speaker 4: two animeter chip going into Helos, its first rack scale
Speaker 4: system solution carry back to you on set in Las Vegas.
Speaker 3: What an extraordinary conversation.
Speaker 2: Ed Ludlow, as always with Lisa Su of AMD, of course,
Speaker 2: took to the stage last night alongside Greg Bruckman of
Speaker 2: Open AI, and we're just going to check it on
Speaker 2: the shares because there were significant statements coming from Lisa
Speaker 2: throughout that interview with Ed. We are off by three
Speaker 2: point three percent, even if she continues to articulate how
Speaker 2: much computer is going to need to increase one hundred
Speaker 2: times in the next four to five years, talking about
Speaker 2: the early innings that we're at in terms of unlocking AI,
Speaker 2: and really talking up the MI four fifty five, pushing
Speaker 2: at the bleeding edge of capability. They're also talking about
Speaker 2: the demand they have in AI for China in particular,
Speaker 2: Chinese demand is high. They're working with the government as
Speaker 2: it stands for finding solutions to be able to ship
Speaker 2: through China. Also talk about how they're underrepresented and enterprise
Speaker 2: laptops as well. What by three point three percent though,
Speaker 2: because seeing JP Morgan saying look like in video, AMD's
Speaker 2: outlook for compute demand is very bullish, and they're hearing
Speaker 2: about the Mi five hundred series coming on course for
Speaker 2: twenty twenty seven launch, but not much new according to
Speaker 2: Morgan Stanley in terms of brand new information and video
Speaker 2: is up four tenser percent. Is maybe we've got a
Speaker 2: little bit more detail on the Rubin unveil, on the
Speaker 2: fact that six chips have already come back on their
Speaker 2: next innovations, the next architecture for their compute and we're
Speaker 2: seeing that they're already back they're likely to be shipping
Speaker 2: in the course of twenty twenty six, but also talking
Speaker 2: up the future of self driving vehicles within video, a
Speaker 2: new platform to rival maybe even a Tesla. Enol must
Speaker 2: says I'm not losing sleep over that. But we're also
Speaker 2: hearing about the future robotics coming from in video as well,
Speaker 2: and demand for h two hundreds coming from China.
Speaker 3: So so much to.
Speaker 2: Digest on these particular stocks, so much skill to learn
Speaker 2: here in Las Vegas. And we're going to be sitting down,
Speaker 2: of course, with the CEO of Nvidia, that is Jensen
Speaker 2: Wang and Zeeman's CEO, ronand Bush right here from Las Vegas.
Speaker 2: From CES coming up, we are going to be talking though,
Speaker 2: right alongside not only these leaders who are speaking with Ed.
Speaker 3: Ludlow in the next few hours.
Speaker 2: In the next few minutes, you're going to be hearing
Speaker 2: from the Lucid interim CEO Mark Winterhoff. We're going to
Speaker 2: be discussing the future of global evs, the industry, the
Speaker 2: company's robotaxi partnership with Ubo, with neuro, how are they
Speaker 2: intertwining within video, how are they thinking about the future
Speaker 2: of self driving platform there as well. So much to
Speaker 2: get to in terms of supply chain as well. Stick
Speaker 2: here we are from the Consumer Electronics Show in Las Vegas.
Speaker 2: Welcome back to a very special edition of Blomberg Tech
Speaker 2: Live from Las Vegas.
Speaker 3: In CEES.
Speaker 2: Quick check on these markets as we stand, because we've
Speaker 2: had some big announcements over here at the Consumer and
Speaker 2: Electronics Show. Key among them has been from Nvidia and
Speaker 2: from AMD. Now VideA up a quarter of a percent.
Speaker 2: At the moment we hear about the future of Rubin,
Speaker 2: we hear about how it's coming on track already. Manufacturing
Speaker 2: partners are bringing back six sets of chips for the
Speaker 2: next stage architecture. They're talking about new self driving platform,
Speaker 2: they thinking about robotics and video catching a bit only
Speaker 2: about a quarter of a percentage point, AMD down three
Speaker 2: point eight percent, even as we hear lisas who are
Speaker 2: talking about the one hundred x compute need over the
Speaker 2: next four to five years and how they're going to
Speaker 2: be satisfying it with their next generation of chips, but
Speaker 2: not enough new for the market to get its head around.
Speaker 3: It would feel. Now's that one hundred and up four
Speaker 3: tenser percent.
Speaker 2: Let's move on to somewhere at big movers, though, because
Speaker 2: amid these announcements come the ramifications of the ripple effects
Speaker 2: on other key companies. Johnson Controls check out, we're off
Speaker 2: by eight percent, but this is cooling and several equipment
Speaker 2: company in many ways that's looking at the ways in
Speaker 2: which you cool down in videos chips, Well, maybe you
Speaker 2: won't need air to do that in the future, maybe
Speaker 2: be able to cool them with water cooling, And that
Speaker 2: sends them shivers down. Some supplier's spines that we've seen
Speaker 2: were off by eight point five percent. Some of the
Speaker 2: markets saying there's a bit of overreaction, So says Berkley's
Speaker 2: Tesla off by four percent.
Speaker 3: Is this the concern.
Speaker 2: Around a self driving platform being built by Nvidia? Well,
Speaker 2: in I must post it on X yesterday that it's not.
Speaker 2: He's not losing any sleep over it. But for now
Speaker 2: there's a little bit of a reason to be selling Tesla.
Speaker 2: After its rally yesterday, sand Disc out twenty four percent,
Speaker 2: and this is as we hear, actually the still unbelievable
Speaker 2: need for memory and memory storage stand Disc once again
Speaker 2: managing to feel the ripple effects of Jensen Wang's words.
Speaker 2: He said that on stage yesterday, and sand Disc rallies
Speaker 2: higher along with other memory companies such as Micron. But
Speaker 2: let's talk about other announcements being made here at CES,
Speaker 2: and among them.
Speaker 3: Is from Lucid.
Speaker 2: Because Lucid, neuro and Uber they're bringing their robotaxi ambitions
Speaker 2: to life. I'm bailing a new autonomous vehicle right here
Speaker 2: at ces Mark went Tohart Lucid interim CEO joins us.
Speaker 2: Now I'm very pleased to say, why is your robotaxi
Speaker 2: going to be different?
Speaker 9: Well, I guess it's the integration of our leading ev technology,
Speaker 9: the luxury experience that the.
Speaker 10: Lucid gravity provides.
Speaker 9: We're still neurodriver, you know, in bringing this to market
Speaker 9: very very very fast, because I mean from when we
Speaker 9: all came together, the three of us, to when we
Speaker 9: plan to roll it out by the end of the
Speaker 9: year in a paid service, actually it's less than eighteen months.
Speaker 9: And if you do that in that short period of time,
Speaker 9: that's actually a very unique thing by itself.
Speaker 10: But the product excel itself.
Speaker 9: We are now unveiled the production intent design. It's much
Speaker 9: more integrated, less you know, a lot of different things
Speaker 9: on the edges of the vehicle, more integrated, and so
Speaker 9: it's going to be a very very good experience for
Speaker 9: the customer.
Speaker 2: Will it always take that form the relationship of neuro
Speaker 2: uber and yourself, because we've just had Jensen involved unveiling
Speaker 2: his own self driving platform.
Speaker 3: Would that be integrated?
Speaker 2: Would you be an OEM that uses that more directly
Speaker 2: for the consumer.
Speaker 9: In fact, we announced a couple of months ago and
Speaker 9: partnership is Nvidia on exactly that topic. So we're also
Speaker 9: using Nvidia Drive for our gravity but for our B
Speaker 9: two C customers, So the same thing that it was
Speaker 9: basically announced yesterday with Mercedes, we will also have by
Speaker 9: the end of this year in our Lucid gravity and
Speaker 9: when we come with our midsized platform also the end
Speaker 9: of this year, it will have this from the start
Speaker 9: in that what we don't stop there. We will actually
Speaker 9: next step is L three where you actually have mind
Speaker 9: off on the highway, and then that will is planned
Speaker 9: for twenty twenty eight, and then L four we're planning
Speaker 9: together as in Vidia by twenty twenty nine.
Speaker 10: For our B two C customers.
Speaker 9: So it's different, it's a different path than on robot taxis,
Speaker 9: but we will also continue to evolve for our robot
Speaker 9: taxi ambitions.
Speaker 3: Will the regulation be there by twenty twenty nine?
Speaker 9: Is that what you're banking on, Well, that's what we're
Speaker 9: banking on here, absolutely, yeah.
Speaker 2: And more probably, how do you see therefore the ecosystem evolving?
Speaker 3: What in twenty twenty nine will I own.
Speaker 8: You mean a car.
Speaker 2: Or robotaxis that are already on offering. If I choose between,
Speaker 2: waymo I can use between Uber, I could get in
Speaker 2: your car. In that respect, do I need to therefore
Speaker 2: really own my own Lucidy?
Speaker 10: You will? You will?
Speaker 9: I think I don't think that we get to a
Speaker 9: point where there will be only robotaxis, because use cases,
Speaker 9: for instance, in inner cities, you know, or short runs
Speaker 9: make sense robotaxis. But you also want to be able to,
Speaker 9: you know, make it your own vehicle. You don't want
Speaker 9: to go into something where somebody else was just sitting in.
Speaker 9: Or let's say, if you have a family, you have
Speaker 9: more than one kit you need, you know, a child seat.
Speaker 9: Do you want to lock this around and put it
Speaker 9: into a robotaxi and then take it out again?
Speaker 3: I mean, it's not feasible.
Speaker 10: It's not feasible anyway.
Speaker 9: They will always be both, you know, and but I
Speaker 9: think what is very very important is on the not
Speaker 9: only on the robotaxi side, but also on the the
Speaker 9: retail customer side. You want to choose do I want
Speaker 9: to be driven or do I do want to drive myself?
Speaker 9: In particular, our cars are known how great they drive,
Speaker 9: and that actually That's a very important thing because I
Speaker 9: mean evs very often are you know, kind of like
Speaker 9: stigmatized with oh, that's the sustainable choice and it's expensive
Speaker 9: and it needs incentives. That is not true. Our cars,
Speaker 9: for instance, they drive fantastic. They actually have better performance
Speaker 9: than internal combustion engines if you compare them in their
Speaker 9: in their real in their real comparative competitors set. So
Speaker 9: I think this will go away over time that you
Speaker 9: have that the conversation between internal combustion engines and evs,
Speaker 9: and evs will will win in the end.
Speaker 2: Well, let's talk about where Lucid is at this moment,
Speaker 2: because last year it was a painful year in.
Speaker 3: Terms of stock performance.
Speaker 2: You were having to cut down grade how many cars
Speaker 2: you were going to be able to produce, and suddenly
Speaker 2: rumped at the end of the year. You've delivered significant
Speaker 2: production in Q four. How does that scale?
Speaker 9: Yeah, So, I mean I have to say I'm very
Speaker 9: proud of what the team pulled off. I mean, we
Speaker 9: had and I was very vocal about is we had
Speaker 9: issues with ramping up our gravity our first suv supply chain,
Speaker 9: it was supply chain, several supply chain issues. I mean,
Speaker 9: whold twenty twenty five was full of you know, surprises,
Speaker 9: let's put it that way, not only for us, also
Speaker 9: for the whole industry. But then we're still delivered in
Speaker 9: Q four our eighth consecutive record Coode on deliveries as well.
Speaker 9: You know that means the last two years, every single
Speaker 9: quarter we increased our deliveries. And when it comes to production,
Speaker 9: we increased the production for the whole year by more
Speaker 9: than one hundred percent, and just in the in the
Speaker 9: last quarter from Q three to Q four even that
Speaker 9: by more than one hundred percent. So we're really now
Speaker 9: ramping up, and we solved the supply chain issues.
Speaker 2: So twenty twenty six will not be a supply chain
Speaker 2: headache issue.
Speaker 10: Not that what I know of.
Speaker 9: I mean last year, if you would have asked me
Speaker 9: the same question in January, I would say the same thing,
Speaker 9: and then a couple of things happened.
Speaker 2: What happened was a trade war and tariffs. How have
Speaker 2: you changed your supply chain with Asia in particular.
Speaker 9: Yeah, well, I mean this is still a process because
Speaker 9: you cannot do this from one day to the other
Speaker 9: if you have building Actually, by the way, all of
Speaker 9: our vehicles right now are built in the United States,
Speaker 9: but still we have components coming from other parts of
Speaker 9: the world, and we are in process to localize this
Speaker 9: in order to not have to pay the tariffs. As
Speaker 9: an example, one very big element of our bill of
Speaker 9: material is the batteries, and right now they come either
Speaker 9: from Korea or bigger trunk actually from Japan, and we
Speaker 9: will localize this to the United States mid of this year,
Speaker 9: so that will actually help already quite a bit.
Speaker 10: But there's still more work to do.
Speaker 9: We are making those decisions as we go in order
Speaker 9: to bring more things stateside.
Speaker 2: In order to save that Where is lucid space In
Speaker 2: terms of global market share, We've just heard that Byd
Speaker 2: has become the number one EV producer in the world,
Speaker 2: eclipsing Tesla. Tesla still has significant chunk of share. We
Speaker 2: see Shao Me grow in China as well. Where do
Speaker 2: you fit.
Speaker 9: Well, here's the thing when these days when people talk
Speaker 9: about evs, they mix everybody up, meaning BYD, Tesla and
Speaker 9: Shaomi or anything else and us and us we are
Speaker 9: a luxury manufacturer right now, we're not playing the same
Speaker 9: price point as right now for we don't have yet.
Speaker 10: We will, but we don't have yet.
Speaker 9: The the fifty thousand dollars or even less or for
Speaker 9: we we want to yes.
Speaker 10: That Tesla has.
Speaker 9: The Chinese are actually further down when you look in
Speaker 9: in the Chinese market, I mean you cannot make money there.
Speaker 9: And we have, by the way, no plans to go
Speaker 9: to China because I don't think there's any way to
Speaker 9: make a profit. Therefore a Western om coming in. But
Speaker 9: we think in our luxury space, what we offer luxury,
Speaker 9: and I would also say premium because we will go
Speaker 9: down to the premium sector around about fifty thousand dollars.
Speaker 9: That's what we will do, yes, absolutely, but we don't
Speaker 9: have no plans to go down to I don't know
Speaker 9: thirty twenty thousand dollars, and that's where the bulk of
Speaker 9: the sales of the Chinese are right now.
Speaker 10: When you look at the level higher then it's not
Speaker 10: that great.
Speaker 3: We love speaking with you here.
Speaker 2: Congratulations on the announcement a future of Robotaxis and of
Speaker 2: consumer owned lucids.
Speaker 3: Mark Wenthoff, the interim CEO of that business.
Speaker 2: Coming up, We've got a gaming conversation for you, Raiser,
Speaker 2: looking to AI to enhance the gaming experience was the
Speaker 2: CEO Mignantan that's next.
Speaker 3: That's a Bruett Tech gaming company, Raiser.
Speaker 2: Well, it's unveiled a suite of new AI products and
Speaker 2: enhancing the gaming experience. This is say Minyang Tan Raise,
Speaker 2: the CEO, joins us now to talk about how your
Speaker 2: roots are in gaming hardware. We know you for the seats,
Speaker 2: for the headphones, for the mouse, but you want to
Speaker 2: be an AI ecosystem. How do you frame this to
Speaker 2: your users?
Speaker 11: Well, first up, you know, for us at Razer, we've
Speaker 11: been building the ecosystem in the gaming space. Well from
Speaker 11: hardware perspective, many people are familiar with us for the hardware,
Speaker 11: but over and above, from a software perspective, we've got
Speaker 11: over one hundred and fifty million users on our platform.
Speaker 11: We've got about seventy thousand developers just developping on our tools.
Speaker 8: Over and above, we've.
Speaker 11: Also built out one of the largest payment networks for gaming.
Speaker 8: So that's been the ecosystem we've got.
Speaker 11: But over the years, we've been building AI for ourselves
Speaker 11: because we believe that AI gaming is going to be
Speaker 11: completely disrupting, changing things.
Speaker 8: In the gaming space.
Speaker 11: So you know, we've been looking at everything from AI
Speaker 11: gaming tools for developers, we've been looking at things for
Speaker 11: gamers and at CS, we've got a whole bunch of
Speaker 11: super exciting lineup for everyone.
Speaker 3: Okay, so let's talk about the lineup.
Speaker 2: I think about, in particular some of the hardware the
Speaker 2: headphones that in many ways are going to rival smart glasses.
Speaker 2: Talk us through these headphones and how they work and
Speaker 2: why they're AI enabled.
Speaker 11: Sure, you're talking about Project Motoco, So we've unveiled.
Speaker 8: That at CES.
Speaker 11: First up, we think smart glasses are great, but headphones,
Speaker 11: it's already a universal form factor. We're not looking to
Speaker 11: bring a new form factor through the gamers the users.
Speaker 11: And we're one of the largest producers of gaming headphones
Speaker 11: in the world at Razer. So what we do is that, well,
Speaker 11: I think the entire installed base today for headphones in
Speaker 11: the world is about one point five billion headphones, and
Speaker 11: we're talking about perhaps every year there's about four hundred
Speaker 11: million new headphones being shipped at any point of time.
Speaker 8: The refresh rate is really great.
Speaker 11: And what we've done is that we've taken a common
Speaker 11: universal form factor and we've added AI smarts to it.
Speaker 11: So it's got dual Project in Motoko has got dual
Speaker 11: four K cameras.
Speaker 8: To provide vision in.
Speaker 11: Absolutely well, it provides vision to the AI assistant. We've
Speaker 11: got far field micro to get audio. So in short,
Speaker 11: what we've got is a AI wearable which is universal.
Speaker 11: It's going to be easy to just provide the smarts
Speaker 11: cross to it. It works with all the models out there,
Speaker 11: it works with grog chat, GBT, so on and so forth,
Speaker 11: and essentially we've now got AI smarts for every single
Speaker 11: gamer and every single person out there.
Speaker 2: So you're thinking that this will make a leap from
Speaker 2: not just gamers but others who just want to use
Speaker 2: it as a tool in the house.
Speaker 8: Well, if you.
Speaker 11: Look at how gaming as a whole pretty much leads
Speaker 11: a lot of innovation out there. If you're talking about
Speaker 11: social networks, all that came from gaming first. Even AI
Speaker 11: in the GPUs, it started just with gaming. So the
Speaker 11: way that we see it is that a vast amount
Speaker 11: of innovation comes from gaming, and essentially we'll see the
Speaker 11: gamers adopted first and then the rest of the world.
Speaker 2: Let's talk about six hundred million dollars spending. Where is
Speaker 2: that going to be deployed on?
Speaker 3: Is R and D? Is it talent? Is it compute?
Speaker 8: Well, pretty much all of the above.
Speaker 11: In terms of R and D, We've been hiring AI scientists,
Speaker 11: We've been working on our internal tools. That's expensive, expensive,
Speaker 11: but multimodel. I think in terms of that, and we
Speaker 11: believe that where AI is going, we're going to see
Speaker 11: EI vertical companies come up. And for us, we are
Speaker 11: hyper focused in terms of AI gaming. Where we see
Speaker 11: a massive opportunity for ourselves. It's the entire industry from
Speaker 11: gaming being able to use AI tools develop new games.
Speaker 11: Gamers will be able to use AI hardware, software and
Speaker 11: services to get a more immersive and engaging experience.
Speaker 3: But some are uncomfortable.
Speaker 2: Some are worried about AI slots, Some are worried about
Speaker 2: their own gaming experience not being as well high end
Speaker 2: as it had usually been. How do you counteract some
Speaker 2: of that slight growing backlash to these of AI and
Speaker 2: gaming development.
Speaker 11: So I'm a gamer, I'm not wild about AI slop either.
Speaker 11: But what we are talking about at Razer is providing
Speaker 11: the tools across the developers to develop even better games.
Speaker 11: So it's not about generative AI, it's about for example,
Speaker 11: QA Companion.
Speaker 8: We're coming up with QA Companion.
Speaker 11: To allow game developers to shorten the time cycles to
Speaker 11: do quolicy assurance for a game. Over and above, we're
Speaker 11: looking at other ways in which we can reduce the
Speaker 11: cost for game developers so that they can spend more
Speaker 11: time in terms of creativity, in terms of being able
Speaker 11: to build even better games. So for US, AI is
Speaker 11: about augmenting the experience rather than replacing it.
Speaker 2: But you have said that you think one or two
Speaker 2: mega games will be AI created in the future.
Speaker 11: Well, I think all of the games in the future
Speaker 11: will have some level of AI tools who assist it,
Speaker 11: whether it's in terms of designing better workflows, whether it's
Speaker 11: in terms of doing better QA. In short, I would
Speaker 11: say that AI has the opportunity to really provide even better,
Speaker 11: more immersive games, even more competitive games in the future.
Speaker 3: You have flown from Singapore.
Speaker 2: You're an interesting company that's got presence in California but
Speaker 2: also in Asia.
Speaker 3: How does the supply chain look right now for you?
Speaker 3: Amid what was a pretty turferent in twenty twenty five, It.
Speaker 11: Was an exciting time, I must say. So we're a
Speaker 11: dual headquartered in the US and in Singapore. I think
Speaker 11: in terms of supply chain, we spent a lot of time.
Speaker 11: I think because we ship globally. A third of our
Speaker 11: businesses in the US, a third in Europe, a third
Speaker 11: in Asia. We have a truly global company. But we've
Speaker 11: been able to kind of work through our supply chain
Speaker 11: in terms of getting the components done in terms of shipments,
Speaker 11: and we are still looking at it every day.
Speaker 7: Okay, well, it's.
Speaker 3: Been wonderful for having you here.
Speaker 2: Thank you, Thank you for talking us through the announcements
Speaker 2: some of the new gear and the supply chain.
Speaker 3: That goes with that. Menyangtan of course, the CEO of Razor.
Speaker 2: Coming up, We're going to be breaking down more of
Speaker 2: the news coming out.
Speaker 3: Of the Consumer Electronics show right here in Vegas. Stick
Speaker 3: with us.
Speaker 2: This is bloombag Tech, very specialisation of Bloomberg Tech live
Speaker 2: from Las Vegas. We are checking on a Nvidia that
Speaker 2: is up seven tenths of a percent, actually managing to
Speaker 2: rally a little bit more on the day as we
Speaker 2: hear that Nvidia is saying that the US government is
Speaker 2: working hard on China license approvals. Of course, we're trying
Speaker 2: to understand when they will get the approvals for H
Speaker 2: two hundreds to really get done and start shipping to China.
Speaker 3: If China wants them.
Speaker 2: But Jenson Wang last night saying that there is strong
Speaker 2: demand in China for his H two hundreds, and more broadly,
Speaker 2: there's strong demand for his Blackwell and he's already managing
Speaker 2: to get back the six prototypes. Already got six chips
Speaker 2: from the VIRAA architecture from the manufacturing partners and will
Speaker 2: ship them in the course of twenty twenty six as well.
Speaker 3: So mayly some moon music. That sounded very optimistic.
Speaker 2: He's also talking about the future of self driving a
Speaker 2: platform being unveiled, and also robotics. So let's talk more
Speaker 2: about what we're gonna hear unveiled at CEES. We're in
Speaker 2: full swing, maybe not behind me, as you can see
Speaker 2: the participants still waiting to come into this particular center,
Speaker 2: convention center in Las Vegas, but we're all about the announce.
Speaker 3: That's already the power the impact of AI.
Speaker 2: But in most consumer Tech editor is with this, Dana Walman,
Speaker 2: and I'm so pleased to have you here because trying
Speaker 2: to discern what the most impactful announcements are as tough.
Speaker 3: What about the robots side of things? What's catching your attention?
Speaker 12: So there are so many robots here that CS the
Speaker 12: organizers of CS have set aside a whole dedicated space
Speaker 12: just for robots this time around, and there are some
Speaker 12: that we really feel that we need to see in
Speaker 12: person when the show floor opens today. We've read, for instance,
Speaker 12: about LG's laundry folding robot, which was announced a couple
Speaker 12: days ago. But a lot of these things you really
Speaker 12: have to see them in action to fully appreciate them,
Speaker 12: or as the case may be, in some cases, not
Speaker 12: appreciate them. Say actually, this is really overhyped and maybe
Speaker 12: the demo is too tightly controlled.
Speaker 7: So that's what we're going to be looking.
Speaker 12: For today, now that the media days have settled down,
Speaker 12: and now that the show floor is opening and we
Speaker 12: can actually see some things kind of up close.
Speaker 2: Yeah, because we just had the raise of CEO on
Speaker 2: and you've been up close with some of those headphones
Speaker 2: and maybe not always in practice.
Speaker 3: They work quite as well as they would like to
Speaker 3: in the wild.
Speaker 2: What about what hasn't worked in the world, many would say,
Speaker 2: is where AI wearables. Some of them have flopped, some
Speaker 2: of them and been bought by others. Are we going
Speaker 2: to get more flavors as well?
Speaker 12: So many and what has really struck me at this
Speaker 12: show is that there are so many form factors that
Speaker 12: are not smart classes, almost as if all of these
Speaker 12: manufacturers decided that smart classes, even though it's an emerging category,
Speaker 12: are already pesse.
Speaker 7: They're already pedestrian.
Speaker 12: Necessarily owns that, yes, we need to do something else
Speaker 12: for the sake of doing something else. So you're going
Speaker 12: to see a lot of the same ideas built in
Speaker 12: microphones and cameras that can do a lot of the
Speaker 12: same things as I don't want to say traditional smart classes,
Speaker 12: but met as smart glasses, but packed into other form
Speaker 12: factors that are not.
Speaker 7: Smart glasses.
Speaker 12: I mean, for instance, without revealing anything I'm not supposed
Speaker 12: to on live TV, you may see some jewelry at
Speaker 12: the show that does a lot of the same things
Speaker 12: and it uses the same core technology, but it's just not.
Speaker 3: I mean everyone in many ways. An Orra ring is enabled,
Speaker 3: and Samsung has an AI ring.
Speaker 12: Too, yes, just not with no camera capabilities in the ring.
Speaker 12: Or to your point, the headphones that Razor just announced,
Speaker 12: they look like regular over the here over the ear.
Speaker 3: Headphones, and they are.
Speaker 12: They function as headphones, but they have dual microphones and
Speaker 12: cameras inside and can do things like offer real time translation,
Speaker 12: which is something a lot of the new smart glasses
Speaker 12: can do.
Speaker 2: Also, the multi mold, multimodal versions of AI and in
Speaker 2: wearables is where we're going to start seeing these things
Speaker 2: progress and move.
Speaker 12: Yes, it's just that if last year at CS was
Speaker 12: the year of smart glasses, this is the year of
Speaker 12: sort of TBD something else in terms of form factor.
Speaker 3: Yes, jewelry and what would you say?
Speaker 2: Sentiments like here this year because we just had from
Speaker 2: two CEOs thanks twenty twenty five who just couldn't make
Speaker 2: it up. As for what a surprise it was when
Speaker 2: it came to tariff turvenance. What do we think the
Speaker 2: makers here are feeling.
Speaker 12: Oh, the device makers, Yeah, you know, there's been some
Speaker 12: discussion at least among the laptop makers of memory shortages
Speaker 12: and the price of RAM.
Speaker 7: Some are trying not.
Speaker 12: To discuss it, but they will say, oh, by the way,
Speaker 12: this is the price of our new our new devices.
Speaker 12: And then I think otherwise there's a real effort to
Speaker 12: make consumers comfortable with AI. I think what you're going
Speaker 12: to see around the floor are either robots and not
Speaker 12: all humanoids, but different kinds of robots, and in some
Speaker 12: cases like Razors, Desktop, AI Avatar, different implementations that are
Speaker 12: either cute or anthropomorphic. We saw the other night a
Speaker 12: robotic AI dog, the cute puppy that got a lot
Speaker 12: of attention. So it does seem like the companies are
Speaker 12: very intentionally trying to make people comfortable with AI, in
Speaker 12: this case using cuteness.
Speaker 3: Cute AI bloombogs down a woman. We'll let her loose
Speaker 3: on the floor.
Speaker 2: Now, that does it for this special edition of Bloomberg
Speaker 2: Tech in an hour, an exclusive conversation with Jensen Wang
Speaker 2: stick for it.
Speaker 3: This is Bloomberg Tech