Qualcomm CEO Cristiano Amon says robotics is the next big opportunity in AI. Speaking with Caroline Hyde at CES in Las Vegas, Amon also says Qualcomm doesn't see AI as in a bubble and discusses the autonomous driving race.
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7
0:23Where is your technology really leading the charge there?
1:56How soon do we start to have the humanoid versions in our houses?
3:32Look, we've just had Jensen Huang on stage saying, 'Hey, I'm getting into the world of autonomous driving platforms, too.' How do you see that ecosystem evolving?
Hey, our Bloomberg Tech team is on the ground at the annual consumer tech summit known as CES. Right now, Bloomberg Tech co-host Caroline Hyde sitting down with Cristiano Amon, CEO and president of Qualcomm. Caroline, take it away.
Carol, thank you. It is a party vibe out here at CES and a man who knows all about music from his hometown in Brazil. He'll be able to cope with the noise level. Cristiano, but you're part of not the noise but the statements being made here at the moment. Robotics when it comes to future of autonomous driving, when it comes to physical AI, talk to us about robots. Where is your technology really leading the charge there?
Yes, look, we're incredibly excited about this. This is a new chapter, I think, of the Qualcomm expansion and diversification. I think we're going to robotics. We like robotics a lot because by definition it's an edge AI problem to solve. No different than what we did in automotive. You cannot put a server in a robot. You need battery life. You need a lot of integration of sensors and physical AI is a massive opportunity and it's an edge AI opportunity. So as we look at this transition of Qualcomm into new industry, we went to automotive, to PC, to industrial, to data center. Now robotics is the next opportunity. We actually have a number of robots here at our booth at CES demonstrating training humanoids, industrial. I think we started the year working with some great companies: German Kuka, Figure AI. And I think it's going to be a great opportunity in robotics. It's perfect for you to have high performance computing and low power and connectivity. It's an edge AI problem and I think it's going to be the next big wave of AI, physical AI.
How soon is that reality? Already we have robots in manufacturing and industrials, but how soon is it fully autonomous robots? How soon do we start to have the humanoid versions in our houses?
Look, the way we think about this is things that you didn't think were possible to do with a robot, you can do it right now using AI. I think industrial robot is the largest opportunity that we see in front of us and it's probably starting as early as 2026. When you train, use AI to train a robot on one given task, it's a very well-defined problem and you can do this and put it into production. Consumer robot, the one that is going to be in your house and do everything for you, it's going to take a little bit of time but it's going to happen and it's going to be a big opportunity. I like to do this parallel that we saw with automotive. When we started talking about autonomous cars, a lot of companies went in and said we're just going to get this full autonomous robo taxi, but until you get there, you can do assisted driving to every car on the road, assuming that the driver is there to pick it up. And we've seen ADAS, level two, level three, highway autopilot. That's what we're doing. I think the same parallel applies to robotics. First, you have a lot of enterprise in the industrial applications. We see companies, for example, in retail at night robot go to the aisles of the supermarket and restock the shelves, something very simple. That opportunity is happening right now. Over time, we're going to have the domestic robot that will do everything for you.
Okay, let's go to your car focus though, because your DNA is mobile, but then it has indeed gone to robotics, but autos is where you've dominated. Look, we've just had Jensen Huang on stage saying, 'Hey, I'm getting into the world of autonomous driving platforms, too.' How do you see that ecosystem evolving?
Okay, the most important thing is to really understand what's happening in car. Car becomes a digital product. So from Qualcomm, we're going to have a slightly different perspective. We think that the most important part of the car digital experience is the digital cockpit because the digital cockpit became a new computing surface like your phone is a computing surface, the laptop's a computing surface, now the car. And when you think about AI coming into the car, agentic experiences, that is very natural, voice is very natural, that's going to happen to the cockpit. Today, I think we just announced we have now 75 million cars on the road with the Qualcomm digital cockpit. Our pipeline is transforming into revenue and we're designing with virtually every car company using the digital cockpit. The next part is what's happening in autonomy. And in autonomy, you have this transition to bring safety and reduce accidents. You can bring assisted driving to every car starting with level two all the way up and then you're going to have full autonomy. So we have been actually driving the processor for this assisted driving and now with a stack that we developed with BMW, we launched it. It's available. People are testing the car here at CES and it's available to every OEM to have assisted driving in every car, every car model. And eventually you're going to get in a couple years to fully autonomous cars. Yes, I think Tesla is probably ahead. I will say the other solutions are a couple of years out, but you're going to get to it. I think fully autonomous cars, but you're going to have some level of autonomy in every single car.
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