Chapter 1: What is the main topic discussed in this episode?
Bloomberg Audio Studios. Podcasts. Radio. News.
Bloomberg Tech is live from coast to coast. with Caroline Hyde in New York and Ed Lovelow in San Francisco.
Welcome to a special edition of Bloomberg Tech, live from CES in Las Vegas. We've been bringing you conversations from the biggest names in the industry, and today we have another great lineup. Coming up first, we sit down with Jim Johnson of Intel's client computing group to discuss the chipmaker's efforts to make its products competitive again.
Plus, Warner Brothers, it rejects an amended takeover offer from Paramount Skydance. We'll break it all down with Paul Pasta of Quick Play. We'll be joined by Mobilize CEO to discuss the company's acquisition of Israeli startup Menti Robotics in a cash and stock deal valued at $900 million.
The deal's still getting done, but let's check in on these markets, which are being ruled by geopolitics once more. NASDAQ managing to brush that off a little bit more than the S&P. Remember, we're still at record highs in the S&P. We're up another three tenths of a cent on the main benchmark when it comes to the tech names.
Maybe less affected by what's happening in terms of geopolitics and Russia and the U.S. at the moment out in the seas. But we're currently holding on to gains. Geopolitics is always there. I'm looking at Nvidia. It is the mainstay of this CES week with Jensen Wang speaking multiple times. The stock is up almost 1.5% in the current session.
You know, there are headlines out right now from the information that China is asking its tech companies to halt orders of H200. Jensen Wang's been peppered with questions about H200 for the last three days straight. And you can see over three days, this was not the blockbuster that we thought it would be to start the year. Nvidia's up half a percentage point.
Now, the big data point was the forecast for the next few quarters, Blackwell and Rubin. And this is what Jensen Wong had to say about that forecast.
Hopper pricing is actually going up in the cloud. All of the hoppers are consumed in cloud and now pricing, spot pricing is starting to go up. And so that tells you about the demand that's being generated all over the world. So H200s, I think, is going to contribute also to that. I think all told, I think we should have a very good year.
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Chapter 2: What insights does Jim Johnson share about Intel's competitive strategies?
Sandisk is up a thousand percent from its lows. It's up 50 percent in the first three trading days of the year. And what are you hearing in terms of this demand for memory and the price point that we're going to see?
I mean, as always with the memory chip industry, you either got a feast or a famine at the moment. We're in a famine when we're in a famine. The price goes up. And that is exactly what's happening right now.
Supply and demand is basically what they're teaching us.
Always has been.
Chapter 3: Why did Warner Bros reject Paramount Skydance's takeover offer?
They can't build factories fast enough. They can't build production fast enough to meet these short-term surges in demand. So right now the price is going up.
And we're actually talking storage as well, not just the high bandwidth memory that goes around the GPU. A point of discussion on the internet has been autonomous driving. Once again, NVIDIA came out strong with autonomous driving. You and I sat next to each other in the keynote, and you can tell us about NVIDIA's offering, but it also caught the attention of Elon Musk and Tesla, of course.
Chapter 4: What does Mobileye's CEO say about their acquisition of Mentee Robotics?
Yeah, I mean, there was a little bit of a backwards and forwards between Jensen and Elon about, you know, whose system is better and both of them ending up praising what the other is doing in the end, because let's face it, they need each other. But this is the point that we're at. We've been promised cars that are robots that can do their own thing for a very long time.
Hasn't happened as fast as we were promised. And what we're being told now is we're at the cusp of this. And this is great if you're making chips, if you're making the components for these vehicles.
Cars, robots, I've seen a lot of them. I'm going to continue to see a lot of them. Ian King, we thank him so much for his decades of work in the chip sector as well.
Chapter 5: How are geopolitical tensions affecting tech markets?
But let's stay with NVIDIA because, of course, Ed, you sat down with NVIDIA CEO Jensen Wang and Xeeman CEO Roland Butch to discuss their latest partnership, the expansion of AI efforts. Just take a listen.
We're announcing a big partnership between us. We've known each other for a long time, but the partnership we're announcing is really a big deal. One, we're accelerating their EDA software. We're accelerating their simulation software. We're integrating AI technology, physical AI and agentic AI, into their team center and their factory automation software. operating system.
And so we're working together across this entire spectrum. When we accelerate the software, then we'll get to use it to design our chips and systems. When we accelerate their simulation software, we'll use it in our AI factories to simulate the thermal properties of our AI factories. When we integrate our automation and agentic systems into their AI
industrial operating system we can then use it in our factory floors with our partners for example Foxconn and so we're working across this entire spectrum together and we're going to put the technology to use basically as soon as we can what's the net effect for you Jensen is it improves margins efficient capital allocation I know that might sound a bit dry but actually right now that's the answer everyone's searching for how is this investment in AI and use of the technology actually change things in the real world for me well
We announced yesterday Vera Rubin. It takes six different chips to integrate into this incredible system called Vera Rubin. And when you're done, each one of these Vera Rubin GPUs is 240,000 watts. And it is 10 times more energy efficient than the last generation. It is 10 times more cost efficient than the last generation. But it's still, the technology is insanely complicated.
115,000 engineering years came together to build this system. And so when we accelerate EDA tools, when we accelerate simulation tools, and when we can eventually, and I'm hoping very soon, design entire Vera Rubin systems inside a Siemens Digital Twin, The chance, the ability for us to create much, much more complex systems will scale. We'll do it much more efficiently.
And so this is really about being able to do the impossible and being able to do the impossible right the first time.
And once we realize that AI creates real world impact, this is where it really deploys the full power and also the economic power. It's not only in the data centers or in the iFactories, which we see, but also on the edge, because once you start inferencing with low latency, you bring this technology to the edge.
There's a huge potential for our customers to deploy this technology, and this includes, of course, hardware, where we come from the JITs. It goes into the controllers. Some of our controllers run on GPUs. And then it goes all the way to the industrial PC. Exactly. Now these industrial PCs are AI industrial PCs. We supercharge it, and they can now run algorithms trained in the cloud.
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Chapter 6: What advancements did Nvidia announce at CES regarding autonomous driving?
And also just to have it in the home, you have cluttered homes. Homes are unpredictable. You have to be really careful, especially with humanoids with legs. You don't want them falling. So we are certainly very, this is not happening anytime too soon. And that's what this is about.
This is about pushing forward the innovation, thinking what's coming in the next decade, maybe not the next 10 months. But Sam, what are you seeing in terms of health and wellness? Because I'm hearing a lot about robots, perhaps, therefore mental health or caring for the elderly. But you're seeing a lot of other areas where health and wellness is. Yeah, exactly. Different form factors.
So we're all familiar with the smart watches and the smart rings, of course. But now yesterday I saw a toothbrush that predicts signs of longevity, whether you might be more likely to get a certain type of disease or kidney issues from a toothbrush because of saliva is actually a little bit more of a predictor than just like the skin. Yes. So different form factors like that.
I saw a longevity mirror that analyzed my blood flow to predict maybe perhaps signs of either hypertension down the line or other heart health, things like that. Also a smart night guard. So people who grind their teeth at night. In addition, it'll like nudge you. So you stop doing that. But it also, again, with the saliva in your sleep and it'll predict...
issues the long-term issues with your health but also it'll um tell you how well you're sleeping sleep tracking sleep apnea things like that so different types of health uh it's coming into different form factors sounds super quick you've been to many ces yeah the vibe relative to prior years Yeah, it feels like excited, you know, to the point of like a chat GBT moment.
People are really excited to be here and show off different new things. And I think there's, you know, who knows what, you know, this is a testing ground. Who knows what really is going to happen? But there's definitely a level of excitement. Check out what Sam's been writing about on Bloomberg.com. Right, Cara? Yeah. And you're going to have a big conversation later.
It's all going to be about health, wellness, aura, and particularly about what, well, how this goes in sync with the FDA, right?
Yeah.
When you think about health. Tom Hale, Aura CEO, the ring wearable. I'm not an aura wearer, but, you know, right now they have a lot of questions about how they go beyond, particularly a female. user base. All to come. Thank you. Coming up, we've got a big conversation with Mobilize CEO Amnon Shashua after the acquisition of a robotics company mentee. It is halftime. We are in Las Vegas.
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Chapter 7: What are the implications of AI for the consumer experience?
Mobilize an AI company in the field of autonomous driving, driving assist, the full spectrum of computer vision and AI to control cars. And humanoid robotics has been recognized in the past two or three years as a complementary domain.
And Mobileye wants to, it's not only another growth engine, but from a technological point of view, if you are an actor in this area of physical AI, you want to then extend it to the full scope of physical AI. And I believe that robotics, humanoids, they have a great future. Maybe it's a long-term play. It's not a year from now, but I believe it has a significant, exciting future.
And for Mobileye, there's synergetic areas in infrastructure, in AI, in software, in AI talents. So for Mobileye, this is a great move.
I mean, of course, in many ways, people would say you'd think that because you helped found Mentee, your son's work at Mentee. Help me get comfortable with that because many have thrown such accusations Elon Musk's way sometimes in previous acquisitions and not liked it.
Well, it's called a related party transaction. It has been done in the past and will be done in the future. And there are ways to handle it, like being recused from decisions, which I did, and so forth. And, you know, my son has 0.00001%. He's just an employee, so it's not a big deal. You know, he graduated from computer science, and he wanted to do some work. Right.
go work for a company that is very, very strong in AI, working on the future of physical AI, so it makes sense. But that is really immaterial. The material part is the scope of AI. You know, physical AI includes humanoids, includes autonomous driving, and it makes a lot, a lot of sense. Now, Mobileye over the years was always looking for a new growth engine.
For example, take computer vision and apply it maybe to security areas and cameras and so forth. But we never found something that really clicked. found something that has significant moats, that has a significant term. And humanoids is becoming that click, is becoming this area where you can grow.
You and I have been talking for years about, you know, mobilize existing footprint and then it's go to market in the future. What's the go to market for Mentee?
Well, we see the go to market in two phases. The first phase is structured environments. like warehouses, assembly plants, retail, where the number of tasks are finite, are also understood in advance what are the tasks that the customer is interested. A customer will buy a fleet of robots, not just one robot, and you can customize per customer. That, I think,
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Chapter 8: How is the PC market evolving with Intel's new technologies?
Valuations are a tricky topic, and I feel like they always prove out to be right or wrong in hindsight. But if you break down the kinds of companies that get funded today, there's a ton of dollars going into a handful of big research projects. There, the valuation, your guess is as good as mine.
It really is about ownership, and that's enough to incentivize the teams because they're research projects. You don't know when they're going to become businesses or if they're going to become businesses. And then there's companies where there are real use cases, applied AI use cases.
There, the valuations sound extraordinary at the moment, but the progress happens so fast in some of these companies that they grow into it fast as well. So I think it's a nuanced dynamic.
The thing that is confusing for me a lot of times when I look at these companies that are growing is not about are we pricing it right in the context of their revenue or their revenue growth, but much more about are they going to be around? Are the models going to be smart enough to do a lot of what some of these companies are doing and just do it themselves? Or are there applied AI?
Which applied AI companies will be durable on top of the LLM innovation that's going on? Anthropic, you're in. That's durable. Yes, yes. Look, first of all, Anthropic is a... I have a lot of respect for Dario, what he's accomplished, and the team there. It's durable. They've built a great set of models. They've been very capital efficient.
And the thing that's interesting is they also have an amazing set of use cases on top that are taking hold. So it's not just the model company. It's also Applied AI, right? Cloud. It's really redefining the engineering department and just think about the size of that market, the amount you spend on tools and engineers to be able to build products.
And, you know, the amount of progress is like Silicon Valley companies now code self-rights for most of what they do. I think it's a real transformation of what cloud's really enabled.
I know you're very passionate about the democratization of access to some of these companies. Look, Anthropic might go public. Should it be going public sooner? Should the next round be one that comes to the masses rather than perhaps going to let another venture or another crossover round where they remain private?
Yeah, look, I think the company has to decide that. But do they have the size and scale to go public in the next 12 to 18 months? I think they certainly can. I think there's going to be a variety of factors they'll have to weigh in to decide when they think it makes sense to be public when they're predictable enough. Because so much is changing in the market itself and the dynamics.
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