Bloomberg Tech at CES

Bloomberg Audio Studios, Podcasts, radio news. Bloomberg Tech is live from coast to coast with Caroline Hyde in New York and Edlavelow in San Francisco.

Welcome to a special edition of Bloomberg Tech Live from CS in Las Vegas, when we will bring you conversations from the biggest names in the industry throughout the week.

Of course, coming.

Up on the show, we sit down with the CEO of AMD, Lisa Sou after the company announced a new chip for corporate data center use.

Plus, we discussed the global EV and.

ROBOTAXI landscape with Lucid Interim CEO Mark Winterhoff, and then we talked to the CEO of gaming hardware company Raiser, joining us to discuss its latest AI gaming ecosystem. But here on the or of CF we've got to get straight over to Ed Ludlow.

It's standing by with the CEO of m D.

Ed.

Thank you, Caroline, and welcome back to Bloomberg Tech. Lisa Sue helios with I four fifty five x AMD's first RAX scale system solution. But inside it AMD's first in the world's first two nanimeter.

Chip of that type.

A lot was made of it when you actually just stood on stage and held it in your hands for the first time.

Why is it significant?

Well, first of all, Ed, it's great to be here with you at CS. I think CS is always a great way to kick off the year because you get so much perspective. So it was fun giving the keynote last night. Look, Helios is a massive system. You can see it in the background here, and m I four fifty five is just an incredibly powerful chip. And probably the context I would give Ed is, you know, one of the things that we're so clear about is that the demand for AI compute is just continuing to increase.

Are using AI.

So if you think today, they're probably more than a billion active users using AI, and we expect that to scale to over five billion users over the next five years. So for all of that, you need compute and lots and lots of compute. And from that standpoint, you know, m I four fifty five is a significant leap forward in terms of technology capability made up of two and three nanometer trips, three hundred and twenty billion.

Transistors, just a lot of performance and.

A lot of the timeline for it to be deployed in the real world. Then then who will be the principal first user of it.

You'll see it in the second half of twenty six and it will ramp from there. And you know, we have very strong partnerships open AI. Greg Brockman was on stage with us last now talking about all the.

Use cases that they see.

We've announced a partnership with Oracle many others as well.

So given that it's two h it's in full production now, it's getting ready.

To a We are absolutely getting ready to ship it.

That's at one end of the sort of scale and spectrum. At the other you have m I four forty x, which is for small data centers. I'm trying to simplify it, but it's basically an enterprise product. What was it that you were trying to solve for with that?

Yeah, I think what we're trying to solve for is, you know, the world is a very heterogeneous world.

You have all kinds.

Of use cases for AI from you know, sort of the very biggest cloud data centers that are doing you know, large scale training and inference to enterprise applications as well as supercomputers.

And so we actually have a family of chips.

At the highest end, is there m I four fifty five for the cloud environment. But we announced last night am I four forty, which is actually using the same basic building blocks, but is now really focused on enterprise applications so that you can go into you know, let's call it current data centers with the new technology.

So we're excited about that as well.

You know, there is enterprises are starting to increase their adoption of AI. In some cases they want their own control of their data centers in terms of on prem environments.

What are they doing with it though, I mean, you know, we've been so fixated on frontier models with hundreds of billions of parameters and the scale of infrastructure needed for that. With m I four forty, we're talking about something slightly different. I'm just I think it's just really interesting if you could explain what the demand is from those enterprises, what they want with the technology.

Well, I think you see many enterprises now using AI all throughout their business processes, whether you're talking about things in their workflow. Even AMD, we're using AI through every part of our development process. A lot of applications in financial services, in healthcare, and these are areas, especially in financial services, that people actually don't want everything necessarily in the cloud. They'd like to be able to have their

Chip M I four P forty.

Allows us to use some of those existing data centers and upgrade with the new capabilities.

Welcome if you're watching us on Bloomberg Television or you're listening on Bloomberg Radio. We're live in Las Vegas and we're with AMD CEO Lisa Sue, and we're talking about the latest.

Generation of accelerators.

What makes this generation of AMD accelerators the better option, particularly for on prem and at the edge, over what Nvidia is offering right now.

Well, the best way to think about it, ED is we're in this place where AI is adding reflect flection point. We're seeing AI now in every part of compute. We see it in the largest models. You know, when you're thinking about things like traction, PT and Gemini and Rock. You know, we're also seeing you know, many use cases in uh, you know, new capabilities like you know, video production, entertainment, healthcare, where you're doing drug discovery, all of these various things.

Total cost of ownership.

And the other thing that you know we believe very strongly in is an open ecosystem and deep partnerships, you know, with our uh you know, with our overall ecosystem coming together. So when you put those things in perspective, I think we have a great set of applications that will take advantage of these newest generationships.

You mentioned that Greg Brockman, who's the Opening Eye president, was on stage with you last night, and one of the basic points that he made was there are tools and functions they would love to release and put out into the world, but they're compute constrained. I often ask you to quantify demand, but is there a way to quantify the severity in the lack of compute, you know, the deficit that's out there right now?

Well, let me just give you some numbers to kind of ground what we think the demand environment is looking like so if you think, you know, today we have about a billion active users and we're ramping that to you know, five billion over the next five years, and we have about let's call it, one hundred zeta flops of.

Compute you know, all around the world.

And that's just a generic number that that aggregates all of that. You know, we think we have to increase compute by another one hundred times as you go over the next you know, four or five years.

And I introduced a term last night, the YadA flop. You know, people are like, what is a YadA flop? A YadA flop is.

Actually ten to the twenty fourth in terms of flops. That's a one followed by twenty four zeros. And to give you, you know, just a view of just how much things have really increased. I mean, that's another one hundred times more compute than we have today. So that gives you an idea. Now you think, what are you going to use all that compute for? I mean, the truth is the models that we have today are great. I mean they do amazing things. You know, we talked

But it's good, but it can get so much better. And I mean, I think that's the key point.

You know.

We we like to say that AI is really going to be everywhere, and it's really for everyone, and it's for each one of us to make our businesses more productive, you know, each one of us more productive, you know, going forward. And so we're still in the very early innings of really unlocked the power of AI.

So where we stand is we Okay, there's a there's a compute deficit and software is kind of hit the limits of what current generation compute can offer. Help us understand the bottlenecks and barriers that to deploying that compute a lot at the moment about memory chips, what helps energy, electricity? What's crossing your desk, Lisa that gives you pause and say, this is this is a problem right now?

Well, our job as a technology industry is to push the bleeding edge.

I mean, that is our job.

And so you know, when we think about like the four fifty five deploying you know, two Nanimeter and three Nanimeter chips, having the latest generation memory high bend with memory that is out there, and really deploying these big systems. The important thing is that the entire ecosystem come together and we plan together for this next big inflection in compute.

Which is most severely So, you know, I don't.

Think that's any one thing. I think we're all looking at. You know, how do we build faster? You know, certainly, you know, power is one of those areas where you know, you see throughout the world, you know, power is being brought online as fast as possible. Certainly from a silicon standpoint. You know, we're ramping our production capabilities with our partners. From a memory standpoint, our partners are ramping as well.

We started this conversation talking about helios first, RAC scale architecture and infrastructure from AMD, could you talk about the future and how much of the content you want to own in a server? You know, we started this story with the GPU. Frankly, if you look at what Nvidia is doing, they want to increasingly own all of what's inside the box. Is that something that AMD's focused on too.

You know, what's most important for us is to ensure that we have turnkey solutions that are very, very easy for our customers to deploy, because when you think about, you know, how do you use all of this AI compute most effectively? You want it to go into the data center and you know, really be up and running on day one, and for that you have to optimize a full system. But from that standpoint, you know, we

Looking ahead to m I five hundred twenty twenty that has one thousand times the performance of the I three hundred generation. So your last generation of real well deployed gear. Something's coming that's a thousand times better. How did you make it a thousand times better?

It is just incredible engineering at every level.

So m I four fifty five is.

Ten times better than the trip that we just launched six months ago them I three fifty five and m I five hundred is another ten x you know. On top of that, we are using the most advanced technology out there. We have a very you know, very clear focus on you know, hardware, software, system code design, and it is you know, clearly the pushing the bleeding edge of capabilities.

What is the status of AMD's ability to sell products into China right now?

So, you know, China is an important market for us. You know, we actually sell a broad range of trips into China, including our you know, our PCs as well as you know, other embedded chips in the data sets context of course, sorry, in the data center context. We are you know, certainly we see China as an important market.

Allowed to apply for licenses.

We haven't gotten those licenses yet, but we con continue to view China as an important market.

For the reason I ask about it is in part because a lot of the work that's being done in open source models and bridging the gap between open and closed it is being done in China. To some extent, there's been able to discussion about the demands being there in China, but could you reflect a little bit on that demand, but also what the Chinese government's attitude is to you taking a later generation of tech to the country.

Well, I do think.

The demand for you know AI in general and in China is high for all the reasons that we talked about. I think we are in a demand environment where more compute is beneficial across the world. We think you know China is an important market for us, and it's very active in having our solutions deployed, So, you know, we continue to view it as something that's important we're working with the US government as well as our Chinese customers, you know, to find good.

Solutions there, and there are signs from both governments that the licensed process is moving. Commerce is kind of notorious for things sitting on a desk for quite a long time.

I think we are optimistic that, you know, we'll have an opportunity to get some of those licenses.

Granted you're watching Bloomberg Television, you're listening to Bloomberg Radio, this is Bloomberg Tech, and we're live in Las Vegas with the a M d CEO Lisa Sue. Last question really in the data center context, is the markets and investors want data and signs that you're taking market share. What would the metrics be that you'd point to, either that already exists or over the coming twelve months that would evidence that.

Well.

I think m I.

Four fifty five is a clear inflection point in both our technology capability as well as the deep partnerships that we have across the industry. So we're excited about you know, what we see in front of us, and you know, we've talked about you know, tens of billions of dollars in an AI revenue as we get into twenty twenty seven, and I think these are important metrics, you know, for us as a company. When we think about the AI potential.

For all the focus on data centers, some forget that AMD is leader in PC in many respects. The forecasters have very different opinions of what will happen this year. Some see, you know, shrinking market, some see modest growth driven literally by just AIPC. You've been able to take market share and grow irrespective of what the broader conditions are, but it haven't been great. How have you done that and do you expect that to continue to be the case.

Well, the PC market is a very good market for us.

You know.

We grew a ton in the PC market in twenty twenty five, and that really came from the strength of our product portfolio. We bet early in aipcs, so it was a clear area where we believe that the technology would generate demand. We also went through a refresh cycle with Windows eleven, and as we go into twenty twenty six, I think we'll want to see how a few quarters play out. I think the general demand for computing is

Does AI PC change that.

Aipcs absolutely help in terms of, you know, just the upgrade cycle coming in. We're excited about some of our work with AI development systems as well. We announced a new AI development system last night that you know, we think will be also very attractive.

Those constraints you were talking about in the PC context are specifically dram or it's broader than that.

It's more around the memory side.

So when you think about you know, memory overall, I think we have so much demand coming from let's call it AI data center compute that we want to see how it impacts, you know, sort of the rest of the memory market out there.

One of the other areas that you discussed with Greg Brockman on stage from Open AI was sort of the net or broad economic impact of AI, not just for the companies. I think you were talking more about global economy. Again very difficulty, So that how does one measure progress in whether AI has or has not had a direct positive economic impact around the world in any given year.

You know, It's true, it's.

Hard to deconvolve all of the things that are happening. But I think from a sense of you know, what we see in the business, and you know, many people want to see direct return on investment for a particular a set of investments, what I would say is that we know that AI is making a difference in a

Every CEO that I talked to is talking about AI.

It is front and center in terms of how to build a better company, how to build a better portfolio, and so you know, I think what you know Greg was talking about is when you aggregate all of that AI has to impact, you know, the world at a GDP level, and we'll see that over the next few years.

You're watching Bloomberg Television, you're listening to Bloomberg Radio. This is Bloomberg Tech and we're live in Las Vegas. We're speaking to a m d's CEO, Lisa Sue. You are an investor in Generative Baronics, also technology partner, and they have unveiled a humanoid robot here at Las Vegas ces. In fact, if the magic of television can happen, and we cut to the y gen, we actually see it in the background.

Right.

You know, this is the first tangible sign I feel we've seen from AM and D on how you intend to play in physical AI. Yes, explain your strategy. It is the next big market, right.

Yes, And I wouldn't say it's the first time, but it's probably one of the areas where we don't highlight as much because there's so much focused on data center and cloud and the opportunities there are, you know, very much.

In front of us.

But when we look at physical AI, you know, starting from all of the work we've done in FPGAs and embedded real time capability, we have been in this space for a long time. You know, we already power a

Is the business model to be all things the brain inside of the humanoid robot and inference side that, the underlying software being traded on a trained on a m D accelerators.

Just I don't what's the go to the market, I guess is what I'm asking.

You should expect that our partnerships extend all through all of those levels. So we have the components that can power the humanoid robots, you know, sort of real time local capability, which is a very very important, and then we also have the technology behind that in terms of you know, how to train and inference on these humanoids.

When last we met in person, it was in Washington, d C.

And the President had just outlined a broad strategy for America in AI and it really centered around infrastructure deregulation allowing those building the infrastructure to move faster. That was kind of in the second half of last year. In the months that have followed, have you seen any signs that it worked and anything that you could point to that says, yeah, people are able to build faster maybe to address.

Some of the compute deficits. We discussed, well, I.

Can say for sure, you know, the President's AI Action Plan. You know, when we met, now this was back in July when it came out.

I was very.

Optimistic about having a really forward leaning strategy from you know, sort of the whole view of what does it take for the US to lead an AI. And I think we've made a ton of progress along the way. And you know, I had Michael Kratzios joined us last night on stage as well to talk about the Genesis Mission, which is you know, another you know, sort of public private partnership approach to really advance science in the United States.

The right export controls.

Currently, we are certainly working very closely with you know, the the various parties in the US government to ensure that we have the right balance there. And we also have you know, this notion of how do we invest more here and ensure that in the the United States that we are running as fast as possible to bring you know, AI capacity you know online, to help us in you know, science and you know sort of the broader you know, economic benefits.

Lisa, what happens in twenty twenty six, what happens in the world of AI, and what do you think will define this year in terms of the progress that your industry hopes to make.

Well, I started our keynote last night with the sentence that you know, you ain't seen nothing yet.

That's really how I feel. I mean, we're sitting here.

In January, and it's just amazing how much progress is made, you know, every week and every month, when we see how these models are developing, when we see how the use cases are developing, and then when we see the tangible results on businesses and outcomes. I believe that you know, we saw a good amount of that, you know, come to fruition in twenty twenty five. We're going to see much more of that in twenty twenty six, so that everyone should understand that, you know, AI is not just

Lisa Suit AMD CEOMD with it's in the world's first two animeter chip going into Helos, its first rack scale system solution carry back to you on set in Las Vegas.

What an extraordinary conversation.

Ed Ludlow, as always with Lisa Su of AMD, of course, took to the stage last night alongside Greg Bruckman of Open AI, and we're just going to check it on the shares because there were significant statements coming from Lisa

So so much to.

Digest on these particular stocks, so much skill to learn here in Las Vegas. And we're going to be sitting down, of course, with the CEO of Nvidia, that is Jensen Wang and Zeeman's CEO, ronand Bush right here from Las Vegas. From CES coming up, we are going to be talking though, right alongside not only these leaders who are speaking with Ed.

Ludlow in the next few hours.

In the next few minutes, you're going to be hearing from the Lucid interim CEO Mark Winterhoff. We're going to be discussing the future of global evs, the industry, the company's robotaxi partnership with Ubo, with neuro, how are they intertwining within video, how are they thinking about the future of self driving platform there as well. So much to get to in terms of supply chain as well. Stick here we are from the Consumer Electronics Show in Las Vegas.

In CEES.

Quick check on these markets as we stand, because we've had some big announcements over here at the Consumer and Electronics Show. Key among them has been from Nvidia and from AMD. Now VideA up a quarter of a percent. At the moment we hear about the future of Rubin, we hear about how it's coming on track already. Manufacturing partners are bringing back six sets of chips for the

It would feel. Now's that one hundred and up four tenser percent.

Let's move on to somewhere at big movers, though, because amid these announcements come the ramifications of the ripple effects on other key companies. Johnson Controls check out, we're off by eight percent, but this is cooling and several equipment company in many ways that's looking at the ways in which you cool down in videos chips, Well, maybe you won't need air to do that in the future, maybe be able to cool them with water cooling, And that

Is this the concern.

Around a self driving platform being built by Nvidia? Well, in I must post it on X yesterday that it's not. He's not losing any sleep over it. But for now there's a little bit of a reason to be selling Tesla. After its rally yesterday, sand Disc out twenty four percent, and this is as we hear, actually the still unbelievable need for memory and memory storage stand Disc once again managing to feel the ripple effects of Jensen Wang's words. He said that on stage yesterday, and sand Disc rallies

Is from Lucid.

Because Lucid, neuro and Uber they're bringing their robotaxi ambitions to life. I'm bailing a new autonomous vehicle right here at ces Mark went Tohart Lucid interim CEO joins us. Now I'm very pleased to say, why is your robotaxi going to be different?

Well, I guess it's the integration of our leading ev technology, the luxury experience that the.

Lucid gravity provides.

We're still neurodriver, you know, in bringing this to market very very very fast, because I mean from when we all came together, the three of us, to when we plan to roll it out by the end of the year in a paid service, actually it's less than eighteen months. And if you do that in that short period of time, that's actually a very unique thing by itself.

But the product excel itself.

We are now unveiled the production intent design. It's much more integrated, less you know, a lot of different things on the edges of the vehicle, more integrated, and so it's going to be a very very good experience for the customer.

Will it always take that form the relationship of neuro uber and yourself, because we've just had Jensen involved unveiling his own self driving platform.

Would that be integrated?

Would you be an OEM that uses that more directly for the consumer.

In fact, we announced a couple of months ago and partnership is Nvidia on exactly that topic. So we're also using Nvidia Drive for our gravity but for our B two C customers, So the same thing that it was basically announced yesterday with Mercedes, we will also have by the end of this year in our Lucid gravity and when we come with our midsized platform also the end of this year, it will have this from the start

For our B two C customers.

So it's different, it's a different path than on robot taxis, but we will also continue to evolve for our robot taxi ambitions.

Will the regulation be there by twenty twenty nine?

Is that what you're banking on, Well, that's what we're banking on here, absolutely, yeah.

And more probably, how do you see therefore the ecosystem evolving?

What in twenty twenty nine will I own.

You mean a car.

Or robotaxis that are already on offering. If I choose between, waymo I can use between Uber, I could get in your car. In that respect, do I need to therefore really own my own Lucidy?

You will? You will?

I think I don't think that we get to a point where there will be only robotaxis, because use cases, for instance, in inner cities, you know, or short runs make sense robotaxis. But you also want to be able to, you know, make it your own vehicle. You don't want to go into something where somebody else was just sitting in. Or let's say, if you have a family, you have more than one kit you need, you know, a child seat.

I mean, it's not feasible.

It's not feasible anyway.

They will always be both, you know, and but I think what is very very important is on the not only on the robotaxi side, but also on the the retail customer side. You want to choose do I want to be driven or do I do want to drive myself? In particular, our cars are known how great they drive, and that actually That's a very important thing because I mean evs very often are you know, kind of like stigmatized with oh, that's the sustainable choice and it's expensive

Well, let's talk about where Lucid is at this moment, because last year it was a painful year in.

Terms of stock performance.

You were having to cut down grade how many cars you were going to be able to produce, and suddenly rumped at the end of the year. You've delivered significant production in Q four. How does that scale?

Yeah, So, I mean I have to say I'm very proud of what the team pulled off. I mean, we had and I was very vocal about is we had issues with ramping up our gravity our first suv supply chain, it was supply chain, several supply chain issues. I mean, whold twenty twenty five was full of you know, surprises, let's put it that way, not only for us, also for the whole industry. But then we're still delivered in Q four our eighth consecutive record Coode on deliveries as well.

So twenty twenty six will not be a supply chain headache issue.

Not that what I know of.

I mean last year, if you would have asked me the same question in January, I would say the same thing, and then a couple of things happened.

What happened was a trade war and tariffs. How have you changed your supply chain with Asia in particular.

Yeah, well, I mean this is still a process because you cannot do this from one day to the other if you have building Actually, by the way, all of our vehicles right now are built in the United States, but still we have components coming from other parts of the world, and we are in process to localize this

But there's still more work to do.

We are making those decisions as we go in order to bring more things stateside.

In order to save that Where is lucid space In terms of global market share, We've just heard that Byd has become the number one EV producer in the world, eclipsing Tesla. Tesla still has significant chunk of share. We see Shao Me grow in China as well. Where do you fit.

Well, here's the thing when these days when people talk about evs, they mix everybody up, meaning BYD, Tesla and Shaomi or anything else and us and us we are a luxury manufacturer right now, we're not playing the same price point as right now for we don't have yet.

We will, but we don't have yet.

The the fifty thousand dollars or even less or for we we want to yes.

That Tesla has.

The Chinese are actually further down when you look in in the Chinese market, I mean you cannot make money there. And we have, by the way, no plans to go to China because I don't think there's any way to make a profit. Therefore a Western om coming in. But we think in our luxury space, what we offer luxury, and I would also say premium because we will go down to the premium sector around about fifty thousand dollars.

When you look at the level higher then it's not that great.

We love speaking with you here.

Congratulations on the announcement a future of Robotaxis and of consumer owned lucids.

Mark Wenthoff, the interim CEO of that business.

Coming up, We've got a gaming conversation for you, Raiser, looking to AI to enhance the gaming experience was the CEO Mignantan that's next.

That's a Bruett Tech gaming company, Raiser.

Well, it's unveiled a suite of new AI products and enhancing the gaming experience. This is say Minyang Tan Raise, the CEO, joins us now to talk about how your roots are in gaming hardware. We know you for the seats, for the headphones, for the mouse, but you want to be an AI ecosystem. How do you frame this to your users?

Well, first up, you know, for us at Razer, we've been building the ecosystem in the gaming space. Well from hardware perspective, many people are familiar with us for the hardware, but over and above, from a software perspective, we've got over one hundred and fifty million users on our platform. We've got about seventy thousand developers just developping on our tools.

Over and above, we've.

Also built out one of the largest payment networks for gaming.

So that's been the ecosystem we've got.

But over the years, we've been building AI for ourselves because we believe that AI gaming is going to be completely disrupting, changing things.

In the gaming space.

So you know, we've been looking at everything from AI gaming tools for developers, we've been looking at things for gamers and at CS, we've got a whole bunch of super exciting lineup for everyone.

Okay, so let's talk about the lineup.

I think about, in particular some of the hardware the headphones that in many ways are going to rival smart glasses. Talk us through these headphones and how they work and why they're AI enabled.

Sure, you're talking about Project Motoco, So we've unveiled.

That at CES.

First up, we think smart glasses are great, but headphones, it's already a universal form factor. We're not looking to bring a new form factor through the gamers the users. And we're one of the largest producers of gaming headphones

The refresh rate is really great.

And what we've done is that we've taken a common universal form factor and we've added AI smarts to it. So it's got dual Project in Motoko has got dual four K cameras.

To provide vision in.

Absolutely well, it provides vision to the AI assistant. We've got far field micro to get audio. So in short, what we've got is a AI wearable which is universal. It's going to be easy to just provide the smarts cross to it. It works with all the models out there, it works with grog chat, GBT, so on and so forth, and essentially we've now got AI smarts for every single gamer and every single person out there.

So you're thinking that this will make a leap from not just gamers but others who just want to use it as a tool in the house.

Well, if you.

Look at how gaming as a whole pretty much leads a lot of innovation out there. If you're talking about social networks, all that came from gaming first. Even AI in the GPUs, it started just with gaming. So the way that we see it is that a vast amount of innovation comes from gaming, and essentially we'll see the gamers adopted first and then the rest of the world.

Let's talk about six hundred million dollars spending. Where is that going to be deployed on?

Is R and D? Is it talent? Is it compute?

Well, pretty much all of the above.

In terms of R and D, We've been hiring AI scientists, We've been working on our internal tools. That's expensive, expensive, but multimodel. I think in terms of that, and we believe that where AI is going, we're going to see EI vertical companies come up. And for us, we are hyper focused in terms of AI gaming. Where we see a massive opportunity for ourselves. It's the entire industry from gaming being able to use AI tools develop new games.

But some are uncomfortable.

Some are worried about AI slots, Some are worried about their own gaming experience not being as well high end as it had usually been. How do you counteract some of that slight growing backlash to these of AI and gaming development.

So I'm a gamer, I'm not wild about AI slop either. But what we are talking about at Razer is providing the tools across the developers to develop even better games. So it's not about generative AI, it's about for example, QA Companion.

We're coming up with QA Companion.

To allow game developers to shorten the time cycles to do quolicy assurance for a game. Over and above, we're looking at other ways in which we can reduce the cost for game developers so that they can spend more time in terms of creativity, in terms of being able to build even better games. So for US, AI is about augmenting the experience rather than replacing it.

But you have said that you think one or two mega games will be AI created in the future.

Well, I think all of the games in the future will have some level of AI tools who assist it, whether it's in terms of designing better workflows, whether it's in terms of doing better QA. In short, I would say that AI has the opportunity to really provide even better, more immersive games, even more competitive games in the future.

You have flown from Singapore.

You're an interesting company that's got presence in California but also in Asia.

How does the supply chain look right now for you? Amid what was a pretty turferent in twenty twenty five, It.

Was an exciting time, I must say. So we're a dual headquartered in the US and in Singapore. I think in terms of supply chain, we spent a lot of time. I think because we ship globally. A third of our businesses in the US, a third in Europe, a third in Asia. We have a truly global company. But we've been able to kind of work through our supply chain in terms of getting the components done in terms of shipments, and we are still looking at it every day.

Okay, well, it's.

Been wonderful for having you here.

Thank you, Thank you for talking us through the announcements some of the new gear and the supply chain.

That goes with that. Menyangtan of course, the CEO of Razor.

Coming up, We're going to be breaking down more of the news coming out.

Of the Consumer Electronics show right here in Vegas. Stick with us.

This is bloombag Tech, very specialisation of Bloomberg Tech live from Las Vegas. We are checking on a Nvidia that is up seven tenths of a percent, actually managing to rally a little bit more on the day as we hear that Nvidia is saying that the US government is working hard on China license approvals. Of course, we're trying to understand when they will get the approvals for H two hundreds to really get done and start shipping to China.

If China wants them.

But Jenson Wang last night saying that there is strong demand in China for his H two hundreds, and more broadly, there's strong demand for his Blackwell and he's already managing to get back the six prototypes. Already got six chips from the VIRAA architecture from the manufacturing partners and will ship them in the course of twenty twenty six as well.

So mayly some moon music. That sounded very optimistic.

He's also talking about the future of self driving a platform being unveiled, and also robotics. So let's talk more about what we're gonna hear unveiled at CEES. We're in full swing, maybe not behind me, as you can see the participants still waiting to come into this particular center, convention center in Las Vegas, but we're all about the announce.

That's already the power the impact of AI.

But in most consumer Tech editor is with this, Dana Walman, and I'm so pleased to have you here because trying to discern what the most impactful announcements are as tough.

What about the robots side of things? What's catching your attention?

So there are so many robots here that CS the organizers of CS have set aside a whole dedicated space just for robots this time around, and there are some that we really feel that we need to see in person when the show floor opens today. We've read, for instance, about LG's laundry folding robot, which was announced a couple days ago. But a lot of these things you really have to see them in action to fully appreciate them, or as the case may be, in some cases, not

So that's what we're going to be looking.

For today, now that the media days have settled down, and now that the show floor is opening and we can actually see some things kind of up close.

Yeah, because we just had the raise of CEO on and you've been up close with some of those headphones and maybe not always in practice.

They work quite as well as they would like to in the wild.

What about what hasn't worked in the world, many would say, is where AI wearables. Some of them have flopped, some of them and been bought by others. Are we going to get more flavors as well?

So many and what has really struck me at this show is that there are so many form factors that are not smart classes, almost as if all of these manufacturers decided that smart classes, even though it's an emerging category, are already pesse.

They're already pedestrian.

Necessarily owns that, yes, we need to do something else for the sake of doing something else. So you're going to see a lot of the same ideas built in microphones and cameras that can do a lot of the same things as I don't want to say traditional smart classes, but met as smart glasses, but packed into other form factors that are not.

Smart glasses.

I mean, for instance, without revealing anything I'm not supposed to on live TV, you may see some jewelry at the show that does a lot of the same things and it uses the same core technology, but it's just not.

I mean everyone in many ways. An Orra ring is enabled, and Samsung has an AI ring.

Too, yes, just not with no camera capabilities in the ring. Or to your point, the headphones that Razor just announced, they look like regular over the here over the ear.

Headphones, and they are.

They function as headphones, but they have dual microphones and cameras inside and can do things like offer real time translation, which is something a lot of the new smart glasses can do.

Also, the multi mold, multimodal versions of AI and in wearables is where we're going to start seeing these things progress and move.

Yes, it's just that if last year at CS was the year of smart glasses, this is the year of sort of TBD something else in terms of form factor.

Yes, jewelry and what would you say?

Sentiments like here this year because we just had from two CEOs thanks twenty twenty five who just couldn't make it up. As for what a surprise it was when it came to tariff turvenance. What do we think the makers here are feeling.

Oh, the device makers, Yeah, you know, there's been some discussion at least among the laptop makers of memory shortages and the price of RAM.

Some are trying not.

To discuss it, but they will say, oh, by the way, this is the price of our new our new devices. And then I think otherwise there's a real effort to make consumers comfortable with AI. I think what you're going to see around the floor are either robots and not all humanoids, but different kinds of robots, and in some cases like Razors, Desktop, AI Avatar, different implementations that are either cute or anthropomorphic. We saw the other night a robotic AI dog, the cute puppy that got a lot

Cute AI bloombogs down a woman. We'll let her loose on the floor.

Now, that does it for this special edition of Bloomberg Tech in an hour, an exclusive conversation with Jensen Wang stick for it.

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