Good afternoon everyone. Very happy and privileged to be here. I'm incredibly excited and energized about what's happening here in India with AI and what's happening with AI in general. What I'd like to talk to you today is about the next chapter of AI, and this is something that's very near and dear to Qualcomm. We've been talking about this because I think we're really entering now the next phase of AI. As AI gets developed, it's going to be part of everything that we do, and especially the interaction that we have with computers and with digital systems. So intelligence is shifting from something that we kind of started and we all experience, going to a chat box and asking a question, into something that is going to be all around us and everywhere all the time, especially with the devices. I actually loved the presentation right before from my friend Jeetu from Cisco when he talked about the traffic change from chat boxes to agents, and this is important. I've been often talking about this, how we should be thinking about AI in a much broader sense. And it's easier for a company like Qualcomm to talk about this because we build a lot of the chips that go into devices where the humans are. So as you create AI in the data center and you train and create those models with all this data, and you deploy this, you're starting to see that this gets utilized in different ways. One fundamental thing that AI is doing for us is changing the human-computer interface because we don't have to now learn how to use a computer. I've been often talking about this in different presentations. We had to learn how to use an ASCII keyboard, and we still use that on a laptop. Then we learned to touch a screen. But now the AI understands what we see, what we hear, what we say, what we write. So in itself, it's changing computers, it's changing the devices we interact with, and it's becoming a pervasive technology that is going to be everywhere. And I think that's the mission of Qualcomm. When I think about what we're going to do, it's the same way that what we did with mobile communications and the creation of the computer that fits in the palm of your hand is the ability to take that intelligence everywhere. And it's going to be creating a number of important shifts in the industry, and I want to start talking about the mobile industry.
We may have had the privilege as a company to be part of every single transition of wireless technologies, and this talk today I'm going to talk about the next one that is coming as well. What we saw with the transition of wireless technology is that fundamentally, at every generation of wireless, you saw big shifts not only in devices and companies, but because of the transition. Especially, for example, when you went to the ability to have a phone that you carry with you, all the way to connecting the phone to the internet, all of a sudden that phone became a computer and it started to drive the future of the internet. Like a country like India that leapfrogged the internet and went straight to the mobile internet. And that's going to be true again when you think about AI. For example, in the mobile ecosystem, AI is going to fundamentally change how we think about the mobile device. All of you today, and me included, I think we look at our smartphone, our inseparable device where most of our digital life is, and the smartphone today is at the center of everything that we do. But now that's going to get replaced by an agent. Now when you think about the entire value chain that got created, for example, for the mobile industry, there's an enormous amount of value on things like OSs and application stores, and that becomes the platform. When you're going to develop an application, you're going to do different things into the platform. An agent that now understands human intentions, because you just need to tell it what you want, or it's going to see what you see and make a decision for you, assuming you will authorize it. When that happens, that's where the value is, because then the agent is free. It can go to the internet and do things. It can go to your phone and do things, and you're no longer bound by constructs of your hardware or your apps and the application. So as a result, we expect AI is going to have a fundamental shift in the mobile industry where the agent is going to be at the very center. And as the agent is at the very center, everything surrounds the agent. You can access the agent from your mobile phone, but you can also access the agent from your glasses or from a pendant or from anything that you wear. And I think we're going to look at the mobile ecosystem right now not only as a single device experience, but you're going to connect to agents across multiple types of devices. And I think that's incredibly exciting. And that's not only unique to what you're going to see in consumers. That's going to happen also with things, because you can now also create AI that's going to get trained on different things, on physical signals like physical AI, on sensor data, and you're going to deploy that in every computer. So what's exciting about AI is it's going to very quickly evolve from something you go to a browser and you ask a question, and I think as my colleague from Cisco said, it's got trained on all the publicly available data on the internet. You're now going to go to a different type of AI experience that's going to be the fundamental software that is going to run in all the devices around us and how you're going to have interaction with devices.
I also want to basically, as we think about this future, I just want to give you an example. What we saw across the industry is workloads or use cases have shifted. Devices didn't go anywhere, but the workload shifted. We used to do a lot of things in the early days of the internet on your laptop, and for example, e-commerce, you would do it on your laptop. Now most of the e-commerce in the world is done on a phone. Tomorrow, or it could be as early as within the end of this year, as you start to see the proliferation of glasses. If you have a glass that has agents, is connected to the internet, has a camera on those smart glasses. The glass sees what you see. You can just look at something and say, 'I'd like to buy this. Can you check this on Flipkart and just buy it for me? I would like to buy this.' Integration of payment systems. You got a bill, say pay this, notify me when I'm done, and so forth. So I think we're going to see this fundamental change of devices. But that's also going to be true about the revolution that's happening on robotics and the revolution that is actually happening in industrial. So that is an incredible opportunity, and we have been incredibly focused as a company to basically drive that future of computing.
There's also a big debate, which I believe is the wrong way to look into that, which is about cloud and edge. There's a lot of debate about, 'Oh, this is going to be running on the cloud, this is going to be running on the edge,' and it actually does not matter. Think about your device today. Your smartphone today has an incredible amount of processing power, and there's a number of different things that run in your smartphone. If you put it on airplane mode, you probably don't use it. You just put it back and wait until you get connectivity again. It's the most cloud-connected device because those things work as one. It is. And you're going to have now intelligence that's going to be incredibly distributed across the cloud, across the near edge, the network in itself, and on device, and it's all going to work seamlessly. There are going to be things that you're going to be able to do on the device because they require an instant response or require unique context, unique information that is relevant to you. Something is going to be done on the cloud, and they're both going to be growing and it's going to be transforming how we think about computers. So I'd like to provide a simple description. Let's say we're all using agents, and you're going to pick the agent that you like. And the agent, to be useful, it needs to be fast. It needs to be relevant for you. Let's go back to this example, the example I provided on the glasses. And you have those smart glasses, and you're walking around and you have a camera. Then all of a sudden you see somebody and you ask this glass, like it's your friend next to you, and say, 'Who is this person?' And you want to get a response. 'This is so-and-so.' Or you're going to say, 'Can you translate this for me? What is this? Can you pay this for me?' You want this, this thing has to be seamless, no friction. So certain things are going to be done on your device and certain things are going to be on the cloud. It's going to be completely transparent to you. But the interesting thing is those agents, for them to be very useful, they need to be contextually aware of what is relevant to you. So over time, the agent that I'm going to be using, the agent you're going to be using, needs to be relevant to me. So you're going to have a lot of things that are going to be processed and understood about you. So much so that I believe that in the end game, I think it was said in the prior presentation from Cisco, that all of this available data that is publicly on the internet that you train models, it's a fraction of the data that is going to be generated if you have, for example, a glass with a camera that sees everything that you see, try to annotate that image, get information about the image and the context, reads what you read, and so forth. That is an incredible amount of data, and that's going to be providing a lot of important context for those models to be relevant to you. That is the future, and it's an incredible transformation. It's going to transform every industry. No industry is immune to this. And I think what we're doing as Qualcomm is really creating the future hardware and software that will help enable this future across all the devices. We're a very unique semiconductor company. I think we're probably one of the few companies that can be working on chips from sub-2 milliwatts for a smart earbud that you're going to wear all the way to now 2,000 watts for a chip on the data center. But I think that's the incredible future that AI is going to transform every single computer, and the agents are going to be at the center of the experience. It's going to replace a lot of the OSs and application definitions we see today, and that is the new future of technology, including the future of mobility. And that's why we're incredibly excited about this. And with that, I want to talk about something that is happening, which is about the next generation of wireless technologies.
I would like to provide an example from the past. When you think about telecom networks, and I think we're probably one of the American telecom companies that really focus on the evolution of cellular technology. When you think about the evolution of this sector, when this all started, it was about providing a telephone. I think for all of us, it was an incredible thing. You have a twisted copper pair to get to your home. You pick up, you get a dial tone, you dial, and eventually you could dial anybody in the world with a telephone. Even how cellular started was about making sure all of us had the ability to carry a telephone. That was 2G, that you can call everyone. That's different today. Now you have a very high-performance broadband network for data. Voice is just one application in the many applications that you do with the network. It fundamentally changed the nature of the infrastructure. The equipment was different, the use case is different. We're heading to the next big transformation of the telecom sector. 6G is going to provide an evolution of connectivity: faster speed, lower latency, higher coverage. But that's not the story. That's just a piece of the story. It's just continuing to improve the connectivity. The biggest part of 6G is AI, like I said before, is now going to come to the telecom network, and that becomes a large-scale AI network that is processing and gets trained on all of the signals that happen at the network and providing new capabilities. One of the biggest features of 6G is the network is a sensing network at scale. I'll give an example. The network not only will provide connectivity between your device and the internet, but will sense everything that's around you. We use techniques that you see today in autonomous driving cars, like radars as an example, to detect your environment, and it's going to provide a map of everything that is happening at scale, and you're going to have completely different types of services for different industries. You will provide context for your agents, very important, and the network will have that role. You will provide traffic management systems and some of the use cases that are going to be part of full self-driving cars. You will do drone detection and manage the traffic control of the economy. There's going to be aerial in the wide area network and much more, because AI is also going to the network. It's going to be one of the biggest transitions I think we have, as big as going from voice to data, and it's all going to be part of this future of AI. And I just want to now make another parallel to the presentation from my colleague from Cisco. It puts a fine point on the network that needs to be built, the capability of the infrastructure, the security and trust. But that is an incredible, incredible future with technology. And as I get to the end of the presentation, I want to highlight that India has an incredible opportunity with this transformation. We have seen that those big shifts in technology create opportunity, change players. It changed the role of different countries as they provide global scale for the technology, and that's an incredible opportunity for India. I look at what happened in mobile in India, and one of the largest data consumption per user in mobile devices in the world is in India. The whole internet is mobile. When you think about the potential, all those things that I just discussed about how AI is going to change everything, creates new devices, new experiences, new services, that becomes a massive opportunity. And when I look at the ambitions that were set by the AI summit, I'm going to provide just some examples. Those are just examples. It can be very broader, but I just want to connect with some of the ambitions of the summit. There is a process of jumping into large-scale industrialization. India is becoming a global manufacturing hub as well. And with AI, you go from the very beginning with smart manufacturing and automation with incredible change that is happening in this sector enabled by those technologies. Same thing with smart cities, the ability to continue to evolve the infrastructure, the ability to use AI to increase the scale, the reach, the access for healthcare, how you change education. Those are incredibly powerful learning tools, the ability to actually use some of those technologies to empower people with information, and you're going to have an ongoing learning experience. Think about those agents with you all the time, answering questions, telling you how to do things, especially when you think of context, for example, of new devices such as smart glasses, and it can fundamentally change industries, for example, such as agriculture. And these are just a few examples of the potential of connecting this technology with everything I think that is going on in India. It's an incredible and exciting future enabled by AI, and it's really about meeting the ambition of democratizing this technology for everyone and actually having an important role in increasing the global welfare. And as a company that has always been focused on enabling our partners in other industries to innovate, I think the history at Qualcomm, we never believe it's the job of one company to be responsible for all the innovation. It's really to enable many industries and partner. We're incredibly excited to play a very small part on this mission. Thank you very much for the opportunity to talk with all of you, and enjoy the rest of the summit. Thank you.
