Good morning, everyone. Welcome to day two of Snapdragon Summit. I am going to start day two with a very interesting conversation. We talked to you yesterday about this transition to the AI smartphone. Hope everybody understood how that is going to play out, and this is going to be a great example of what is happening. I am very pleased to welcome, to have this conversation with me on stage, Ramin Hasani, Co-Founder and CEO of Liquid AI. Please come in, Ramin. Thank you so much for being here.
Nice to be here.
Thank you.
Great to be here.
This is going to be a conversation that is going to probably give you yet another example of how this thing is really happening right now. We are going to get started. Ramin is a great guy. Every guy with a mustache is a great guy. Why do not we start? I think everybody wants to know about yourself and about Liquid AI.
Thank you. Yes, I am Ramin Hasani, Co-Founder and CEO of Liquid AI. I started this company three and a half years ago, spun out of MIT CSAIL. We have been decade long researching how to maximize the amount of intelligence capabilities you can get into the smallest unit of compute. This is devices. We wanted to enable physical AI. We wanted to enable AI agents inside the physical AI. Flash forward, Liquid AI, we are a foundation model company. We are building very efficient models that can be the core of agentic behavior. At the technology of our company, at the core, is a hardware in the loop approach to really design foundation models from scratch. We do not do post-hoc optimization. You can do those post-hoc optimization, but we care about what we do beforehand. We design the models to be inherently designed for the device world.
The technology that comes out of it is called Liquid Foundation Models, LFMs. These LFMs are very popular. We open weight them. There are about 1.4 million downloads on a weekly basis. On Hugging Face, you can actually see that. The models are ranging from 200 million parameters to 24 billion parameters. This is a fabric of layers that can enable all sort of devices, from wearables to cars, or maybe even PCs, bigger compute. We have built two sets of products at this company. Around the models, we built something that we call Model+X , model plus a harness that is ready to get deployed on top of device. This is product number one.
Product number two is a model development stack that allows us to take these opportunities and give OEMs, in a B2B fashion, give OEMs the opportunity to really customize this model plus harness for their applications and downstream use cases that they want to do. The goal is very ambitious. We want to be deployed. We want to have LFMs deployed on 50% of world's annually produced devices across wearables, handsets, automotive, PCs, robots, and industrial devices.
That is very good. We like ambitious goals. Look, in building on the conversation we had yesterday, from your perspective, where do we think we are right now in the AI journey, and what tells you that we are now entering a new phase?
We are seeing that AIs are becoming very capable. Capability is increasing exponentially. We are seeing fundamental math innovations. We are seeing better reasoning models. We see longer time and more complex workflows are getting done. There is always a disconnect. You always see that individual product, if you look at the metrics, individual productivity based on these AI models that we have today, is way ahead of business transformation. The gap is always between how are you bringing these capabilities and matching them to value, to actual value? That gap has been the problem. I feel like on the AI journey, we have been on this. The fundamental question that we have to address is production-grade AI. How can we make AI to be useful? How can we increase the amount of use of AI? That is something that is extremely difficult to get.
On this journey as well, what does production AI actually mean? For me, it means reliable actions, agents that can take reliable actions, quality of agents that are really high at the level of frontier that we are seeing. Verifiable outputs. The outputs of the systems are completely verifiable. At the same time, you are satisfying the deployment constraints that you have. Use cases, they might need privacy, they need connectivity, they need many different aspects, security, and sensitivity. Then there is use cases, and then there is deployment environments. You have the physical world deployments. You have the cloud deployments. You got to be able to satisfy those things also with the technology.
I think the next wave of this technology, basically hardware and kernel and model and agents, all basically co-design of these things together, is something that I am looking forward, and I think we are on the right path to get there.
Very good. What must change now for agents to become the next computing platform across billions of devices? All those devices you talk about.
I think five things has to change. The first one is quality of. We are talking about device intelligence. We need to reduce the gap between frontier-level performance on the cloud and devices. That is something that is absolutely important. One of the reasons why the device AI and local AI revolution hasn't happened yet, for me, is just that quality bar. Getting to that quality bar is number one. Number two is context. When we are thinking about devices, we are talking about a fabric of devices. Users want to use AIs on one device and then be able to transfer their experiences and preferences to other devices as well. How do you do that? You need to have the context layer. You need to have something that allows you a memory layer that connects these devices together. Third thing I would say is a harness.
Harness is all the toolings that goes around the foundation model. When we talk about agentic AI, we are talking about a model plus a harness. That harness, the adaptation of the harness, and the adaptation of a model should happen at the same time. The fourth thing I would say is understanding the limitations of the physical world. For example, we are talking about the real world has constraints, devices have constraints, understanding the constraints of processors, and then feeding them back to the model design process. That becomes the co-design process. The last thing I would say is always developers, developers. We need basically an army of developers. We need to open source. We need to give developers access to the technologies to build to really bring the AIs to billions of devices. You're talking about local AI.
That transformation needs attention from indie developers. For enterprises, data is the most important thing. I believe that model-building capability, we should bring products into the hand of enterprises. So model-building capability becomes an ownership from the enterprise side. Enterprises should own the model-building capability. You just give them the framework so that they can get enabled.
When all of those things happen, what will this next wave look like?
The next wave, think about where we are today. We are building, like you see massive amount of investment going into the cloud business, which is great because we have exponential amount of demand for AI. There is a lot of investment is going into that direction. I think the next wave is going to be local AI.
Right.
Why? Because every year we have more than 2 billion processors getting built that can host a foundation model on top of around the world. Every year, 2 billion devices. This is an untapped opportunity. It takes the qualities that I mentioned to really enable that local AI revolution. And off of these processors, I think Qualcomm is best positioned because you own a whole lot of that population of the 2 billion. And I think that's the next hot wave.
We like that. Now I think we'll like everyone to kind of see what you've been working on. There are teams who are working on something new, and we're making some announcements today. Can you tell everyone what you're announcing today?
Very excited to announce today a product that I am really proud of, Liquid Context on Snapdragon. This is a smart memory layer that allows you to read, compress, and write every sort of experience that you have throughout your, let us say, active engagement with a device and across devices. This context layer is going to enable AI systems to go from one device to another device. That is what we are announcing today. Systems that are running locally very close to the user. This Liquid Context that we are announcing, it has two major components.
One of them is the memory component that allows you to gather information from all sources, like abstracting away, let us say, preferences of the users, and building that memory layer for an AI agent or army of AI agents that are running locally on a Snapdragon kind of chip to really access those information and perform jobs. These two products together, the memory layer, and the agent layer are coming together. Let me show you a demo to inspire you. This is a B2B product, so OEMs are going to be using this. Let me show you a product just to inspire how does it look like. Here is actually my agent. This is running on a device. This is running on a Qualcomm Snapdragon. It is actually directly running on the NPU, the Hexagon.
With my permission, it consumes all of whatever I give it access to. It basically senses everything that I give it. My Slack messages, my notes, my photos, everything that I do in my life, I give access to this. Why do I trust this agent? Because it runs on my device. I give it access. It actually enables agents that are running on the NPU and does proactive job for us. The innovation here is making agents to understand when to bring you value. This is proactiveness. This is not reactive. You are not asking the system to do something for you. You can. This is the old generation, so we are talking about proactiveness. This system actually designed for us. It manages my calendar, and at the same time, it also passes through, it drafts social media kind of message.
It knows that I want to post something on X all the time, and it actually drafts the messages for me, makes it ready for me to go. That is an example of what the OEMs can do as the final kind of product. The whole goal here is that we want to prepare this as a product together to really bring it to market, to enable enterprises across cars, mobile phones, laptops, wearables, to be able to access a shared context and very powerful agents running on a Snapdragon to really enable a full experience for users.
Actually, as a matter of fact, you guys are working with one of our customers on Snapdragon Digital Cockpit with Mercedes-Benz.
That is true. Yes.
Yeah.
In Mercedes-Benz cars, we have a partnership with those guys. We are running completely local experience of enabling in-car intelligence, and that is a reality that we are making real. This is production-grade AI, actual deployment of these things on Snapdragon chips inside cars.
Ramin, look, I know we are here in Snapdragon Summit. I know you like the Qualcomm guys. I know you like us, but be honest, why Snapdragon was the platform of choice for you?
The degree of sophistication of this use case itself, I'll tell you, that drives you next to the device. You got to be on the device. You got to be having a powerful system that runs with the user. The user has to have always access to a system that is continuously monitoring and continuously capturing information. Snapdragon enables that. The other thing that I would tell you is the heterogeneous design of the platform itself. We use all components of the processor. We're using the Hexagon for running the agents very efficiently. We're using the Sensing Hub for really abstracting away, bringing all the components that we can read, basically, whatever device metrics that we can read. We use the CPU for agentic sampling. There's all sort of elements of the Snapdragon that enables this, which is really beautiful for us.
Also, one more thing to tell you, when we started Liquid AI, one of the most popular CPUs in the market was Qualcomm CPUs. We actually designed the second generation of Liquid Foundation Models for Snapdragon. The models are actually truly optimized already for the Qualcomm chips.
That's incredible. Look, this is very exciting. I think everything you've said, it resonates what we said yesterday, and the direction the industry is going. I think you answer all questions about what people expected, how things are going to work on the edge or in the cloud, how I'm going to have the trust and control, how are we going to remove friction. I think it's really exciting, and you guys did a very good job. My next question is, what is the difference now between a world that was just built around models versus one that's going to be built around agents?
A model gives you core capabilities to really interact with, and then the user is going to run through coordination. Every step you ask a question from a model, you then conclude from the results that is coming your way. This is a model-based design. If you actually build agents around models, the user have to run with the model and really operate the model one step at a time. With agents, the whole idea here is that the world around agent becomes goal-oriented. You give a goal to an agent, and the agent would take care of the operations, right. It's very important to note that this is where the quality of the models are becoming important. Because the reliability of execution of an agent and towards accomplishing a goal, that matters. That's the world building around agents. More automation for everybody.
And if you think about this change, what changes for the user, for the developer, and actually for the OEM of the device?
For the users, I could tell you, less repetition, less coordination. The system connects information the world otherwise gather and explain themselves. So basically, you have a lot more agents for the users. For developers, I can tell you that the shared context is going to just improve their life. Because they can become more of an orchestrator and not low-level programmers. That is what is changing for them. The other thing that I would say, there is a term going on, I think Tobias mentioned it, CEO of Shopify, he said slop grenades. Developers and enterprises are dropping slop grenades in the code bases. So that is actually the problem. But I have a feeling a goal-based approach, an agentic-based approach for developers, it makes a lot more sense. Why? Because they can actually compact the slop and really monitor the slop in verification loops. So it is a loop-based programming.
The OEMs, they can build basically experience around their own data, around their own devices. Basically, OEMs can own their own intelligence, if you give them this capability of agentic AI. But the components has to be there, which is basically what we are talking about. We have the hardware, perfect hardware, and we have basically a layer on top of that to enable the perfect agentic AI experiences.
Very good. So now we are going to bring a very new, I think an interesting topic of conversation. So one of the ideas, I actually heard you talking about it, is the fact that today's AI is largely fixed once it is trained. Why is that a limitation?
If you think about AIs, the way we design foundation models is we train the models on a corpus of data, and then the models are going to come out, and then the model is fixed weight. We have a snapshot in time during the training process. We put this model in production, and then this model can receive an input and generate an answer for you. But the model itself is fixed. New experiences comes. New preferences, new data streams are coming throughout your model. From time to time, you got to actually update that model. That is suboptimal. We want to go to the systems that can self-evolve. We want to have systems that can be in production, and in production become lifelong learners. Like humans, the way you experience the world is the same way.
We want agents to become That's kind of the reality. If you think about the word liquid is for flexibility. This is how we have been thinking about intelligence. We have been thinking about designing efficient and adaptable intelligence. This has been the core measure of our company. Really enabling continuously evolving systems that can match the preference of the users at a certain time. This is kind of the direction that things are going.
Look, maybe a comment to that. I think that becomes really important, especially when you think about some of the real applications of physical AI, or even an application that you have on devices that we have with us all the time because it has context, and that context is going to change. One follow-up question on this topic. Does adaptability become more important than scale?
Great one. I think they're complementary. Scale is always going to give you more and more capability, maximizing capabilities on the intelligence front. But what adaptation is going to give you is personalization. That's something that you don't get from scale. Scale is sheer volume of capable systems that you can build. Adaptation is moving you towards having an experience that is personalized to you. That's what you're seeing happening. I don't want to have a generic agent that is powered, like in my car, on my mobile phone, on my watch, on my wearables. Every device that I interact with, I would like to have a personalized experience. That personalization comes from adaptation and not scale.
By the way, I want to connect this to this conversation we're having. If you did understand what Ramin said, then you understand why it is kind of a useless exercise to argue about cloud and edge. Because at the end of the day, everybody is going to have their own device, and it is going to be unique to you, like your device and what you do with it, what apps you download is unique to you, and those things are going to work together, and the adaptation is actually going to happen where the machines and the users and the environments and they are, and that is really, really exciting. It just kind of validates this whole vision and what we see about this transition to AI.
Absolutely.
With that in mind, where do you see the biggest opportunities going forward?
I can tell you, the way that we are seeing, as I told you, we are a B2B company, so we see opportunities in automotive, really tangible. We see a lot of automotive OEMs that are interested in having experiences, really transforming what can happen inside a car. Bringing that kind of experience requires some fundamental work, and we are doing that fundamental work, right? That is something that happened in the automotive. We see that across mobile and wearables as well. A little bit more mature on that side, I would say. But it is going in a very, very interesting direction. The point that I think we are bringing on the table now is the idea of the shared context across devices, and at the same time, the idea of proactive agents.
Agents that are basically sitting and doing jobs for you, so you can focus on other things. That is kind of the things that we are seeing, the biggest opportunities, in the mobile and wearables as well. As you mentioned, I see the hybrid world would be the future. I think a lot of attention is going to There is an unbalanced attention to the cloud right now, which is needed. We need to host the maximum amount of intelligence. But at the same time, I think we can balance it out. We can bring local AI to be really be a shared experience. That is the kind of hybrid world that I think is going to be the next opportunity. We see a massive demand from each of the sectors that I mentioned, and I can tell you that it moves us towards our goal.
I told you 50% of devices that are getting produced. I think it is pushing us by 2029, if our estimations are correct, we can be on billions of devices enabling these type of experiences as an opportunity to really bring these two worlds of cloud and local AI together.
When that happens, look, you show some example of some of the agents, what they can do right now. If you just fast-forward, what do you think those agents will be able to do in the future? Things that we're not imagining right now.
The agents. As I mentioned, these agents are going to just ease our lives. The future is going to look like in a way that we don't focus, we focus a lot less on technological progress and also managing technology, that rather than it enables us to really focus on the things that matters to us. I feel like it's just going to free us, our times, to really think about what matters in life apart from work. I think that's something that I truly see happening, and the proactive agents is definitely one of those directions that we're going. As I mentioned, this AI is the next, one of the next revolutions that's happening is recursive self-improvement as we're AIs that can design AI, AIs then can design the next generation of themselves.
Not just by updating the weights of their models or designing a model from scratch, but also the software that is actually sitting around the models. Adaptation can happen only around the harness that a model is hosted. You can have updates to the model, updates to the harness itself, to really create experiences that the users want. Again, I can totally see every single person be a business in the future. I can imagine you can have your own products bringing it to the market because we have a lot more agency with this new revolution of agentic AI and hopefully recursively self-improving AIs.
This is a very exciting future. It's happening right now. Ramin, I just want to say congratulations on what you're doing with Liquid AI. Thank you for the partnership. Thank you for sharing the same vision and actually making this happen. So appreciate it.
Thank you so much for having me.
Thank you so much for being with us.
Thank you.
Thank you. Thank you very much.
Thank you very much.
Thank you. Take a photo. Thank you very much.
Thank you very much.
Much appreciated. Thank you.
Thank you.
Now we are going to continue, I think, our conversation, and especially when we talk about personal AI devices. As we go into this next phase of day two, I would like to invite on stage Ziad from Qualcomm.
Thank you. All right. Aloha and good morning, everyone. Every computing revolution has been motivated by a unique human-machine interface. Keyboards and mouse drove the PCs into household devices. Touch enabled the most ubiquitous personal device out there today, smartphones. Similarly, this agentic era will drive unique personal AI devices. Snapdragon is more than the processor for the agentic age. It is the platform that brings the personal to personal AI. The smartphone remains a critical hub for agentic experiences, the interface we know, trust, and use throughout the day. But to enable personalized AI, we need a new generation of intelligent devices you wear, like smartwatches, glasses, rings, earbuds, pendants, and more. Wearables are the foundation for context-aware intelligence. They are always with you, always at the ready, and more convenient than reaching for a phone that may be in your pocket or bag.
Because they are on the body, these devices see what you see and hear what you hear. That real-time context which is different, by the way, from each of these devices, is what allows seamless multimodal AI to work across devices and for your agent to become truly personal. We envision that these devices will give you superpowers that no other device can enable, and the incredible use cases will drive the need for these new and innovative form factors. Turning this vision into reality takes more than ambition. It takes foundational technologies built for the realities of personal AI. This is where Snapdragon's expertise matters. Personal AI needs more than a powerful processor. It needs complete technology foundation that can sense, understand, connect, respond, and do it all extremely efficiently in devices people can wear all day.
It starts with a low-power Sensing Hub, which helps devices build a contextual understanding of the user and their surroundings. The always-sensing cameras scan the environment, use only portions of an image that are necessary to add user context while respecting privacy, without constantly waking the entire system. It continues with our best-in-class camera image signal processor, enabling high-quality photos that enables amazing photos and video capture, even in challenging low-light conditions, so AI can see the world more clearly. Our Hexagon NPU and micro NPUs offer tiered AI processing and bring powerful on-device and hybrid AI performance with exceptional performance per watt, helping make experiences faster, more responsive, and more private. In our engine for video analytics, we have hardened perception functions in silicon to enable lowest power, novel human machine interfaces built on more than a decade of research on these perception technologies.
With the industry's first micropower Wi-Fi and XPAN technologies, even the smallest personal AI devices can connect directly to cloud services and agents at similar power as Bluetooth without being tethered to any other device. Our spatial rendering capabilities make AR feel natural and immersive, allowing us to merge the physical and digital worlds seamlessly to create amazing experiences. With our enhanced audio, voice, and microphone technologies, personal AI can hear you clearly, understand your intent, and respond with rich, high-quality sound. Now, together, all of these technologies give AI the context it needs to better understand you so every interaction feels more useful, more natural, and more personal. Now, let's see how we can put these technologies into practice. Now, let's imagine someone who's visually impaired walking through their day with only their glasses on them.
What color is this apple? This is a red apple, perhaps a Gala, Fuji, or Honeycrisp.
Just notice, right? No phone in their hand, no screen to navigate, just a lightweight wearable that can see the world around them, understand what is in front of them, and respond naturally through voice. With Snapdragon, we can bring together the camera ISP, low-power sensing, on-device AI, voice and audio, and run an AI model directly on the device in airplane mode. That means the glasses can help answer simple but meaningful questions in the moment. This is what personal AI can become when the technology disappears into a wearable form factor. Not just a new interface, a new kind of independence. To make these experiences a reality, we do not just need more compute, we need more efficient intelligence. That is what makes the work of innovators like PrismML, with their 1-bit models, so important.
By dramatically reducing the memory footprint, they enable larger, more capable AI models to run efficiently on small, power-constrained devices. I am super excited to have Snapdragon AR1 and AR1+ be the world's first personal AI platforms to support multi-model, 1-bit models, and with many more Snapdragon platforms to follow. This really opens the door to richer on-glass experiences like real-time translation, vision-based assistance that can run faster, more privately, and more naturally right where you need them. This is the power of Snapdragon. We can take all the Snapdragon breakthrough technologies and now add 1-bit model support and scale these technologies across a broad portfolio of platforms. From XR to wearables, hearables, and beyond. We are giving our customers the foundation to build personal AI ready for the agentic AI era.
Those customers include a growing list of the top brands, hyperscalers, and more, that we are working with to build this vision together. This includes Meta. Starting with the original Ray-Ban Stories glasses, Snapdragon working with Meta helped lay the foundation for the smart eyewear market, bringing the performance, connectivity, camera, and power efficiency required to make intelligent glasses possible in the wearable form factors. Since those first-gen glasses, AI has advanced dramatically. We have brought intelligence and accessibility into the eyewear category with many exciting devices yet to come. Another amazing partner we are working with to reimagine augmented reality glasses is Snap. Just last week, we celebrated the launch of SPECS, a new kind of computer built into a pair of augmented reality glasses to bring AI assistance, work tools, entertainment, and shared experiences into the world around you.
What makes SPECS so exciting is how closely they align with our vision for the future of personal AI. They are lightweight, heads-up devices that help people stay present while giving them access to digital intelligence in the moment. By the way, they are here with us at Snapdragon Summit, and you will be among the first to be able to try out these amazing AR glasses. Thank you. When we talk about scaling personal AI across the ecosystem, Samsung is an important part of that story. We have a long-standing partnership built around some of the world's most iconic mobile experiences. Together, we are helping deliver richer, more connected AI experiences beyond mobile phones to watches, XR, and intelligent eyewear. Personal AI platforms are only part of this equation, and that is why our collaboration with Google is so critical.
We have had a shared vision and long-standing collaboration for driving these new compute platforms and the amazing use cases that they can enable. Here to share more, please welcome VP and GM of XR at Google, Shahram Izadi to the stage. Welcome, Shahram.
Thank you. Thank you so much, Ziad, and good morning, everyone. It's an absolute pleasure to be on stage today with our long-term partners at Qualcomm. For well over a decade, Google and Qualcomm have shared a deep conviction about the future of wearable computing. When we look back at the evolution of Wear OS, it's remarkable how far this journey has taken us. Wearables began as a glanceable wrist display for notifications. Together, over the years of continuous innovation, Wear OS has become a smartwatch platform that keeps you connected to your health and the people and information you care about the most. Now we've added to that foundation by bringing Gemini Intelligence to Wear OS. Enabled by Snapdragon, the new Pixel Watch 5 is designed for Gemini Intelligence.
Your watch delivers personalized, proactive help, like if a friend asks for your babysitter's contact details, Gemini Intelligence instantaneously pulls it up on your watch, ready to send with a pinch. The watch is one part of an ecosystem of devices you use throughout your day, with your phone at the epicenter and with helpful experiences enabled by Gemini across all of them. A new part of this ecosystem is Extended Reality or XR. Since XR devices can blend your digital and physical worlds, Gemini can understand your context and intent in richer ways to help you throughout your day. To power this next frontier, we built Android XR with Samsung and optimized it for Snapdragon XR platforms with Qualcomm. It's the first Android platform built in the Gemini era, and it supports a broad spectrum of products and different use cases, from headsets to glasses and everything in between.
It started with Samsung's Galaxy XR running on Snapdragon XR2 Gen 2. Galaxy XR lets you immerse yourself in an infinite workspace, enjoy cinema-scale entertainment, and experience rich 3D gaming, all with Gemini by your side. You can ask questions about what you see, have Gemini pull up videos and websites about what you're exploring, or even get a little bit of help mid-game. Soon, we're extending these immersive experiences and helpfulness of Gemini to XREAL Aura . These wired XR glasses will be the first device running on the Snapdragon Reality Elite platform. They run Android XR on a separate puck, allowing for lightweight form factor without sacrificing battery life or performance. That means you can take your spatial workspace or private cinema on the go, like on a plane or at the coffee shop. But it can go one step further.
On Aura, you can also plug in devices into your puck, like your laptop or handheld gaming system, and then pull them into view as a spatial window. Wouldn't it be cool to just ask Gemini for help when you're working in Photoshop? While these devices help you during deep focus sessions, our collaboration with Qualcomm is also expanding to intelligent eyewear. These glasses are designed to give you help from Gemini that is spoken right in your ear, whether it's translating a conversation in real time, providing turn-by-turn navigation, or answering questions about your surroundings. They also let you stay hands-free and heads-up for things like listening to music, taking photos, making calls, or tapping into your phone apps, all without reaching into your pocket.
By understanding the world around you, assisting you quietly in the background, these glasses allow you to stay fully present in life while having helpful intelligence always within reach. We're working with Qualcomm and eyewear partners Gentle Monster and Warby Parker to release these glasses later this year. And of course, they're running Snapdragon AR1. This progress points to a broader vision ahead. As you heard from Cristiano and Rick in their fireside chat yesterday, the future of personal computing isn't defined by a single device. It's all about personal AI that moves across your devices, understanding your context and intentions as you move throughout your entire day. To allow for this vision, we need a unified platform that integrates silicon, compute, and AI. We're incredibly proud of what Google and Qualcomm are building together, and we cannot wait to show you more in the coming months.
Thank you, Ziad, thank you, Qualcomm, and enjoy the rest of the summit.
Thank you, Shahram. Truly grateful for our strong collaboration with Google across all these exciting personal AI segments. Personal AI will come to life across a variety of form factors, from immersive eyewear to new and exciting wearable devices, and we are working to accelerate that ecosystem. Now, we envision that these agents on personal AI devices will bring about a change in the way we engage with our devices. The AI agents will complete tasks for us from start to finish, where they might break up the task into key components and then tap into multiple apps to complete the task, and we are building the ability to do exactly that. To tell you more, please welcome Cameron Slaviero to the stage.
Thank you, Ziad. I am excited to be here at my first Snapdragon Summit. In my role, I lead the software team building the AI experiences that bring personal AI devices to life. The first time these glasses really landed for me wasn't in a demo. It was holding my six-month-old in the pool, capturing the moment when both of my hands were busy keeping him afloat. It is these types of moments that couldn't have been captured otherwise that really change how we interact with the world around us. If we look at the wearable landscape today, one thing is clear: AI is changing what a product is, and agentic products are disrupting established experiences. Earlier this year, we introduced our scaling program, Snapdragon START, to help accelerate the development of new personal AI devices.
Our partners have brilliant ideas, but it can be a big challenge to bring those ideas to market. START helps by collapsing the timeline across silicon, software, and scale. Silicon provides partners with a compact Snapdragon-powered foundation. Software connects the device, phone, and cloud. Scale brings the ecosystem partners white label designs and customization paths needed to move from idea to market. First, let's talk about the silicon. We have developed one of the smallest modules for AI glasses built on our Snapdragon AR1+ platform. This is a complete solution that can easily fit into a variety of different glasses styles and form factors, or can even become the foundation for something entirely new. Now, the software. My favorite part. START provides a complete end-to-end AI software platform and experience that spans across three connected services.
The software on the glass, a companion application on the phone, and a cloud that ties it all together. But what does this actually feel like for someone wearing the glasses? Well, it starts with the most natural interface we have, your voice. These devices are voice first and multimodal, which means you can simply speak, and the assistant is right there with you, aware of what you're seeing and the context around you. Let me show you what we've built. Hey, Keita.
Hey, Cam. What can I help you with today?
That is the experience. No screen to unlock, no app to open, no menus to navigate. Just a natural conversation with an assistant that can see what you see and hear what you hear. That is where things get really exciting. Taking action means integrating with the applications people already use every day. The assistant works in the flow of your life and not off to the side. Sometimes that is as simple as capturing a moment, taking a point of view photo or video hands-free without ever reaching for your phone. It goes much further. Imagine asking to hear your favorite artist, and it starts instantly, right there on your glasses through SoundCloud. Or telling your assistant you are hungry, and it works with Yelp to find and book a reservation at the best wine restaurant right here on the island.
Same platform, real actions in the flow of your day. That is the shift from a device that answers to a device that gets things done. You can try all of these experiences for yourself on actual glasses today at Snapdragon Summit. We understand that different brands want to offer different experiences. Because of this, we built the platform to provide choice. Snapdragon START lets brands pick from a catalog of AI models so you can always deliver the best model for the job. Choice alone is not enough. If you are switching between models, the platform has to stay coherent. So we designed the platform around one single memory that works across every model, giving the assistant shared context no matter which model is answering. Personal AI is inherently personal.
We recognize the importance of user trust with privacy built into the core experience, including clear visibility into what information is remembered, what is shared, and the privacy choices that we make available to users. In just a matter of months, we have seen key partners build exciting products and solutions based on Snapdragon START. One of those partners is Inspecs. I would like to invite Ziad back to the stage along with the Founder and Executive Chairman of Inspecs, Robin Totterman, to tell you more.
Welcome to Snapdragon Summit, Robin.
Thank you, Ziad. Before any of you say it, yes, another pair of smart glasses.
I did not really say it.
But you all thought it. Bear with me. I am actually not from your industry, and it turns out that is the point. I spent 38 years in eyewear. My industry's last two genuine breakthroughs both happened before I arrived. The spring hinge, anti-reflective coatings. The industry is still very proud of the hinge. Meanwhile, Inspecs became one of the few companies on Earth that both designs and manufactures eyewear at volume. We own our factories. Our frames reach 80 countries through 75,000 optical and retail outlets. We are not a technology company that noticed glasses are interesting form factors. We are the people who already make the things on your face. We just got tired of the hinge.
Where do you start?
Hundreds of millions of people, let me just emphasize that.
Hundreds of millions of people put on eyewear before a shift starts, not because it's cool, not because a brand told them to do so. Because a regulation says so. Nobody has to persuade them. Nobody has to make it aspirational.
Safety eyewear is the largest installed base of compulsory eyewear on Earth. For over a century, its entire job description has been one sentence: Protect the eyes. We thought it could do a whole lot more.
How do you view the need for camera in this particular context? Because that's really the question everybody's asking.
Well, here is what we found. In a defined work environment, a factory floor, an oil rig, a lab, a camera is not a novelty. It is already there, already trusted, already part of how people work. A worker snaps a photo for inspection without ever putting a wrench down. A specialist 4,000 miles away watches the same feed live and talks them through the repair in real time.
That is not a feature bolted on. That is the whole reason the camera belongs on this face.
This is where we came in?
In June, Qualcomm invested in Inspecs, and we became the first company to collaborate exclusively with Qualcomm Technologies under the Snapdragon START program, building on the Snapdragon AR1+ Gen 1 platform. You brought the chipset, the AI stack, the reference architecture, and engineers who know this problem cold. We brought 38 years of knowing that nobody wears anything that hurts after two hours, and that a frame going into a hazardous environment has to pass a test that has nothing to do with computing.
Which does turn out to be the harder problem.
It is the only problem. The technology stopped being the obstacle the day that you handed us the module and the software stack. The kickoff to working device happened within four months. No eyewear company should have been able to do that alone. For that matter, no chip company should have been able to do that alone either. This is it. The world first, launched here. This is our enterprise frame. It is built for impact protection, a camera is in the bridge, multiple microphones, speakers, voice and touch control, a bespoke high-capacity battery, all of it inside a frame that passes the same standards as the pair sitting in your toolbox right now.
Right. Amazing. These look great. I feel like we are both ready to get out there in the field.
That is the idea. Same protection your eyes already need, plus hands-free AI for the questions that come up mid-task, the complex jobs that need walking through, and a live feed to supervisors who is nowhere near the floor that sees exactly what you see.
I believe there is more than one.
There is a family. The second is audio only. Bless you. Your assistant, one word away in a frame you would have bought anyway. No camera. The third is the one I am proudest of. Prescription lenses and hearing assistance in the same pair. People wait an average of nine years before they do anything about hearing loss. It is not the cost, it is not the technology. It is that hearing loss arrives slowly, creeps up on you. There is a moment in everyone's life when a restaurant just gets too loud. It is usually not the restaurant. Glasses stopped being purely a medical device ages ago. Hearing aids never did. This is the pair that carries them across.
Awesome. Robin Totterman, Inspecs . Amazing work. Thank you.
Thank you very much.
Right. First devices based on Start. An amazing start to the Start program. Our partnership with Inspecs is just one way that Start helps bring new products to market, in this case, in totally new verticals: enterprise and medical. More on that shortly, but the best proof that a platform works is when a small team does something big fast. That is why I am excited to bring our next Start partner on stage. Please welcome CEO of Awear, Ash Saulsbury .
Thank you, Ziad. It is a great pleasure to be at this year's Snapdragon Summit. I have spent my career architecting the devices many of you are holding right now, and every one of them rests on an idea Steve Jobs had 40 years ago. He called the computer a bicycle for the mind. It was a great metaphor. The bicycle amplifies the body, the computer amplifies the mind. But there is one catch. You still have to do the pedaling. As engineers, our job has always been to ask, "How do we build a better bicycle?" AI changes that question completely. Now we have to ask, "What happens when the machine pedals for you?" That is agentic computing, and it changes how we interact with computers. As humans, we use our hands to operate tools, but we use our voice to communicate with intelligence.
If the computer is becoming intelligent, why are we still poking at it with our fingers? Since the 1980s, we have basically been using the same model. We took the desktop computer, shrunk it to our pockets, and some people are trying to strap it to our faces. Windows, icons, apps, menus. It is the wrong model, and we are still pedaling. Agentic computing should work the way we do. It should see what you see, hear what you hear, speak to you directly, and show you what matters. That intelligence should span every device around you. But its natural home is where your senses are, on your head. That makes eyewear the obvious form factor. Not the only form factor, but the place where agentic computing becomes most natural. So at Awear, we built a brand-new agentic operating system for all your devices with eyewear at its center.
We call it Agentic System One. It makes the devices around you behave as one intelligent system, as one, by Awear. Some of the world's greatest eyewear brands are creating with Awear. Glasses are deeply personal. People are incredibly particular about them. You need permission to be on someone's face. They have to trust the brand, they have to love the way they look, and they have to want to wear them. That is why we build from the outside in. Start with the frame, the shape, the comfort, the style, then put the intelligence inside. For the past three months, we have been building with the Snapdragon AR1+ module. It is tiny, and that matters. The AR1+ module lets the technology disappear into the frame so our partners can do what they do best, create beautiful, iconic eyewear that people want to wear.
We do what we do best, build the reference designs and the intelligence that brings them to life. That is Awear. Speaking of that intelligence, the ability to talk profoundly simplifies your life. Let me give you an example. Today, something as simple, as trivial as organizing dinner with a friend can take seven apps. Search for a restaurant, check the reviews, check the weather, book a table, create an invite, send that invite, and figure out when to leave. Seven apps, and somehow you are the one connecting them all together. With AS1, I just say, "Find a great Italian place near Ziad's hotel. Outside if the weather is good. Book it for 7:30. Send him the details and get me there on time." That is it. One request, seven apps disappear. The conversation starts on my eyewear. When I need to see something, it moves to my phone.
When it is time to leave, the route is already waiting for my car. I did not transfer anything. There are no apps. One request, one workflow, every device as one. There is one more thing. For AS1 to really know you, it has to remember what you like, what matters to you, the things you have asked it to do. That raises a pretty obvious question. Who gets to see that? You. Your memories are cryptographically stored. They are built to be accessible only to you. Not an advertising profile, not somebody else's database. Your memory belongs to you because an intelligence this personal has to be private by design. For 40 years, we have been pedaling the bicycle. That era ends today. As we all know, endings are just the start of something new.
Hello?
Amazing stuff, right? At Qualcomm, we believe that as personal AI evolves, it will not be limited to a single device category or form factor. That is why we have designed our Snapdragon START software platform to extend to other devices as well, including personal AI pins. Today, we are super excited to preview a new personal AI pin reference design powered by the Snapdragon Wear Elite platform. It brings together standalone 5G connectivity, dual cameras, microphones, and powerful on-device AI in a compact, wearable design, giving partners a blueprint to explore this emerging category and accelerate development. We look forward to sharing more about this exciting device next year. As we bring personal AI to these new wearable devices like glasses and AI pins, the opportunity goes far beyond the consumer experience.
These devices have the potential to do a lot of good, creating meaningful impact across industries like the office, industrial environments, education, and healthcare by helping people access information, capture context, and get intelligent support in the moments that matter most. One of the clearest examples is healthcare, where personal AI can bring live, contextual, on-device intelligence to moments when information, speed, and focus matter the most. For clinicians and caregivers, hands-free wearables can provide real-time, consent-driven guidance without pulling attention away from what really matters, the patient. For elderly care, personal AI can help monitor conditions. It can identify changes earlier and support more proactive care. To help accelerate this opportunity, I am very excited to introduce the formation of the Personal AI Health Alliance.
The Alliance is a global community of healthcare and technology pioneers focused on bringing on-device personal AI solutions that address healthcare's most pressing unmet needs for a worldwide audience. Let's hear from some of the key healthcare leaders who are at the forefront of the Alliance.
Every second, an older adult falls. That translates to 37 million falls a year and billions in avoidable healthcare costs. Anticipating falls in advance is one avenue to bend the total cost curve and ensuring that our members' overall health outcomes remain optimized. The Personal AI Health Alliance is developing an ecosystem, intelligent wearables, anticipating these fall risks before the fall occurs itself. It's done so privately on the device and enabled by Qualcomm. That's proactive care that pays for itself.
Physicians are spending nearly six hours every day typing in something that we call the electronic health record, and oftentimes their back is to the patient. Then they go home, and the clinicians will spend more hours at home putting in notes and orders. That's something we call pajama time. Cute name, but not a cute situation. The Personal AI Health Alliance is something I'm passionate about because it's building ambient intelligence that documents the visit, flags the warning signs, and gives clinicians their time back. With Qualcomm's on-device AI, it keeps it private in real time, something that our patients expect. To me, that's the future of healthcare.
By combining intelligent devices, clinically informed digital measures, and real-world insights, we aim to better understand what patients experience every day and support more personalized, proactive care. Together in the Personal AI Health Alliance program, that's what we want to build.
Amazing, right? What we can build together here. This alliance includes global leaders in healthcare focused on pioneering proactive healthcare solutions that leverage personal AI. We are incredibly excited about the Personal AI Health Alliance and the opportunity ahead. This is just the beginning, and we look forward to sharing more soon on upcoming trials, solutions, and real-world use cases. We really have potential to do a lot of good here. The opportunity for personal AI goes far beyond any one device category. It requires technology that can scale across different form factors, levels of sensing, and tiers of products, right down to the smallest and lowest-powered devices. As AI moves into smaller, lighter devices, earbuds, pins, pendants, the most critical interface becomes the most natural one, our voice. Voice is how we ask, command, respond, and stay connected naturally, hands-free, and in the moment.
That makes audio products another crucial frontier in the personal AI revolution. We've already spent years solving the hardest problems for audio products, music fidelity, voice quality, connectivity, power, and size. This has led to the creation of a comprehensive portfolio of platforms that allow our partners to innovate and differentiate across every tier of the market and across multiple form factors. From mainstream audio devices to premium flagship earbuds and headphones, we provide the foundation for a new generation of intelligent audio hearables. What we are witnessing is more than the next evolution of audio devices. It is the beginning of a new category of intelligent hearables, a category shaped by the convergence of AI agents, audio, and voice. These are the technologies Qualcomm has been investing in for years, and now, together with our partners, we are enabling a new generation of audio-first intelligent experiences.
To continue this evolution, we recognize the need for a new platform, one that's designed for a world where multiple audio and AI experiences work together seamlessly. We have built just that. Let's take a look.
We can leave behind all our problems. Join the fun all the way up. We can leave behind all our problems. Life's a beach, so let's party till the sunrise. Eyes on me, keep on dancing in slow- mo.
Oh, yeah, for everybody.
Are you sure about this stuff?
I do, yeah.
How did you know when he has something to say?
That we will see.
I have organized your notes and sent out a summary. Life is a beach, so let us party till the sunrise.
I am thrilled to introduce the Snapdragon Sound Elite Gen 2. This is the first premium audio platform purpose-built for the age of personal AI. To tell you more, please welcome my colleague, Andrew, to share more details. Andrew.
Hey, Ziad. Thank you. Wow. Thanks, Ziad. Hi, everyone. I am delighted to be here on behalf of the whole team and our partners who made this launch possible. I have been leading product management for our premium audio products for 10 years now, and this is one of the most exciting shifts I have seen in audio. With Snapdragon Sound Elite Gen 2, we have a new sound platform built for the personal AI era, based on the guiding principle of voice being one of the most natural ways to interact with these new devices, able to directly speak with your AI agent and stream from your service providers. I am here to talk about what that means. First, let us discuss about what a personal AI hearable can be. It is not just a chatbot in your ear.
It's a voice-first interface for those moments when stopping, looking down, pulling out your phone just gets in the way. While it's voice-first, it doesn't have to be voice only. Together, with sensors and support for a camera, a personal AI hearable can also add additional layers of context, helping your agent understand not just what you say, but what you're looking at and the moment that you're in. Ask it to check a fact, remind you where you need to be, play your music or podcast, summarize messages and emails, track your health, or identify an interesting building in a new city. This is the promise of personal AI hearables. Connected intelligence that fits naturally into your day, helping you get things done in the moment and carry on uninterrupted. That is why we built Snapdragon Sound Elite Gen 2 differently.
For all-day comfort, we made it 30% smaller. For natural, responsive intelligence, we doubled the compute and AI performance. For all-day use, we cut the power consumption by 40%. With our first integrated Bluetooth and micropower Wi-Fi, it stays connected to the services and agents that you rely on without compromising on any of those gains. This is the foundation of a new generation of intelligent hearables. Snapdragon Sound Elite Gen 2 brings AI, connectivity, compute, sensing, and premium audio together into a single optimized platform, so device makers don't have to choose between intelligence and audio quality, connectivity and battery life, or capability and device design. While personal AI has opened the door to entirely new experiences, the fundamentals remain just as important. People still want exceptional music, crystal clear calls, and reliable connectivity throughout their day.
That's why Snapdragon Sound remains at the foundation of the platform, combining robust connectivity, ultra-low latency performance, and using Qualcomm aptX Lossless technology to deliver bit-for-bit high-resolution music, clearer voice experiences, and responsive interactions across everything it does. But the future of hearables requires more than great audio alone. With integrated micropower Wi-Fi, Qualcomm XPAN, and advanced Bluetooth connectivity, users can stay connected to their content, communications, and AI experiences across more places and more moments. That connectivity foundation unlocks something entirely new. For the first time, I'm so happy to announce a new ecosystem of hearable applications directly connecting users to the services that they love. Just like for your phone, service providers are now creating hearable apps to provide their experiences directly to their users, enabled thanks to our micropower Wi-Fi cloud connectivity.
From music and entertainment to AI agents, these services are there to help you get things done in the moment without ever needing to reach for your phone. We're calling this ecosystem Snapdragon Sound Apps and Agents . We're working with MicroEdge, whose application framework makes it easier for developers and service providers to bring their apps and agents to Snapdragon Sound-powered devices, and allows them to continue providing updates with new capabilities long after a product launches. Building on that foundation, we're working with partners like Cinemo and Roon to help bring content, services, and applications to these next-generation hearables, creating a pathway for experiences from providers such as Qobuz. This is why I'm so excited, which is a lot for me to say. It's going to be an entirely new experience for your audio products.
They're no longer just an audio companion to your phone or to your laptop, but now they're a gateway to the connected world and the services that you love, with the experiences as they intend to deliver them directly to you. As those services update and evolve, your Snapdragon Sound Apps and Agents with them will be updated, just like you're already used to on your phone. Given this, intelligent hearables now more than ever need to adapt to you, your environment, and the moment that you're in, to understand your needs and to serve the content and experiences that you want without getting in the way. As we move through our day, through those moments, we want to be fully aware and available, and those we want to be distraction-free and fully immersed in everything that we're doing.
Our hearables should support this, adapting automatically and not needing constant adjustments. This requires intelligence running in the background at all times. When it comes to focus, Snapdragon Sound Elite uses on-device AI not to only understand a user's unique hearing and changes to the fit and environmental conditions, but it is so responsive, it can immediately adapt to sudden loud noises while remaining stable, giving device makers the confidence to push their noise cancellation devices even further than before. In this directly connected world, whether you're talking to your AI assistant, translating a conversation, or dictating a message, everything starts with accurately capturing your voice. That's why we've enhanced Qualcomm cVc with AI Voice technologies designed to deliver clearer voice, more reliable speech recognition, even in those most challenging environments.
I've talked today about how Snapdragon Sound Elite Gen 2 brings together premium audio, advanced AI, seamless connectivity, and a growing ecosystem of native apps and agents. Together, these technologies are transforming hearables from devices that simply play sound into intelligent companions that can understand, adapt, and assist you throughout your day. For me, after 10 years, this is just the beginning. The next wave of innovation will be powered by hearables that have a deeper understanding of the user, their environment, and the moment that they're in. Today, we're excited to share an early glimpse of that future. Together with Cleer, we're pioneering a new category of intelligent hearables that combine audio and vision in a familiar earbud form factor. These devices aren't for capturing photos or videos.
Instead, they add additional context to your AI agent when you need it to, providing relevant real-time information and creating personalized responses that feel more natural and intuitive. To tell you more, and to share their perspective on the evolution of the audio category, let's hear from Charles at Cleer.
Hello, everyone. I'm Charles Wu, CEO of Cleer. I hope you are having a fantastic time in Hawaii. While I wish I could be there with you in person, I'm excited to share Cleer's vision for the future of intelligent hearables. Hearables are already one of the most natural and widely adopted wearables devices. Bringing audio and vision together creates an entirely new level of contextual awareness, opening the door to a new category of intelligent hearables. Our collaboration with Qualcomm is helping bring that vision close to reality. At Cleer, we contribute deep expertise in acoustics, product design, and understanding how people use audio products in everyday life. Qualcomm Technologies provides the AI, audio, compute, and connectivity technologies that make this experience possible, powered by Snapdragon Sound platforms. Together, we have the foundation to combine premium audio, intelligent assistance, and contextual awareness in the familiar hearables form factor.
We are excited about what lies ahead. Together, Qualcomm and Cleer, we are helping shape a future where the technology doesn't just connect people to sound, but helps them better understand the world around them, and we are only getting started.
Thanks, Charles. We're incredibly excited to be working with Cleer, who continue to push the boundaries of what's possible. They're not alone. There's been an amazing level of engagement in the early phases of this platform, and more than I've seen before, including from HP, who are developing an exciting new product based on the Snapdragon Sound Elite platform. We've been working closely with Bose to understand how we can evolve the Snapdragon Sound Elite platform, unlocking new possibilities in sound, intelligence, and connectivity for future generations of products. Together, we're moving beyond traditional audio devices and into a new generation of intelligent audio, and I can't wait for you to try it. Thank you.
Sorry. Go ahead.
Thank you, Andrew. Today we have shown the momentum building behind the personal AI revolution. From the foundational technologies that make always-on context-aware intelligence possible to the new products, reference designs, partner platforms, and real-world use cases bringing it to life. Across glasses, hearables, pins, XR devices, and more, each of these innovations point to the same shift. Agentic experiences need intelligent wearables that can sense the world around us, understand our context, and help us act more naturally in the moment that matter. This personal AI revolution is built on Snapdragon. From ultra-low power wearables to immersive XR experiences, Snapdragon brings together the broadest spectrum of platforms, technologies, and ecosystem needed to scale personal AI across every device category. We have much more in the works, so please stay tuned.
But as I close today, I want to come back to one word we have used again and again today, and that is personal. Because behind every platform, product, and breakthrough we showed today is something deeply human. Technology should not pull us away from the world. It should help us experience it more fully, heads up, present, expressive, and connected. This is the power of personal AI. It changes how we capture life, how we create, how we remember, and how we express who we are. Sometimes the best way to feel that future is to see the world through someone else's eyes. So I want to share with you an amazing video we created in collaboration with the Chinese National Geography team, shot completely on Snapdragon AI glasses. Please take a look. Amazing, isn't it? This is what these devices can do for us.
So you know, today I have talked a lot about AI and our work in this area reaches into so many exciting spaces. One of the most important one is AI software, the foundation that will help scale these experiences across devices, developers, and ecosystem. Few people understand that future better than Chris Lattner. Please welcome Chris to the stage.
Hi, everyone. I am super excited to be here for my first Snapdragon Summit. I recently joined Qualcomm as the EVP of Advanced AI Software. This came through the acquisition of Modular, where I was the Co-Founder and CEO. Over the last four and a half years, Modular has been building the world's first end-to-end unified AI production stack, but also it works on a wide range of hardware. Everybody knows that we are in a compute crisis. The industry is responding to this with a wide range of different hardware innovations across the gamut. Each of these can solve a different problem because everybody has their own different approaches. While the industry is spending an incredible amount of capital on heterogeneous hardware platforms, the big problem has always been software. Each hardware team has been having to build its own stack from first principles.
While some of the leaders have done a great job at this and they have succeeded, others still struggle, and even the biggest companies struggle with the relentless pace of new model research. If you are an AI developer, though, it does not matter how good the stack is, you have many similar but different stacks to juggle, and they all have their own bugs. Modern AI is also way more complicated than it used to be. Back in the day, it used to be just a few layers in an AI model, but now it is a full stack distributed systems problem. Far more competitive, far more difficult to work, and if you are weak in any one of the layers of the stack, then you will just fall behind and you will not be competitive.
I have been working on software for a long time, and I see a lot of the same opportunities that I did 20 years ago when I was working on technologies like LLVM and other compilers. Everybody in this space was innovating. They are all working on different parts of this problem, but nobody could justify a major investment to make a quantum leap to go forward and to pull the industry forward, just like today. Just like then, I believe that if we could get everybody in the industry together, we could crack this open. But doing so would require us to get different players in the space to all collaborate and come together on a shared stack.
If we did, we could get a shared stack that would allow us to move faster, differentiate our systems, and then just fundamentally have happier users and more AI in our lives. At Modular, this is what we built. We built a unified stack with Mojo, MAX, and Modular Cloud. It is a powerful, unified stack for heterogeneous compute that scales from kernel all the way up to cloud. This was a big investment. It took years to build this, and I will just give you a brief idea of what it means, just going layer by layer. At the bottom of the stack is Mojo. Mojo is a high-performance programming language for modern AI hardware. Mojo solves this problem that we have had in AI for a long time. On the one hand, you have researchers, and they all use Python, of course. That is what everybody loves.
Python does not run efficiently on hardware. If you want things to go fast, you need C++ or CUDA or one of these languages. Mojo solves this problem by bringing them both together and giving you one language that gives you full control over the hardware without having to lose developer productivity or scare away the AI researchers. Just last month, we released Mojo 1.0. It is now production ready, and we open sourced it under the Apache 2.0 license. Everybody can take Mojo and build all kinds of cool things with it and go. If you go up one level though, a language is not enough. AI requires AI models. What MAX is it is a full stack serving framework that allows you to design and build your models and then serve them with incredible performance in the data center and also on local PCs.
MAX enables researchers to build AI models and get really good performance, something that we've always struggled with. It's not just about having the AI, but it's about getting it to go fast on the chips that you care about. If you go up to the top, you have Modular Cloud. Cloud is incredibly complicated. You've seen the data center accelerators that we're dealing with today. Modular Cloud provides one stack that allows you to scale for AI deployers to a huge amount of compute with the best performance in TCO. You get a familiar API and a set of tools, but Modular can handle the provisioning, the scheduling, the scaling, the optimization, the hardware SLAs and the uptimes and all this complexity and make it easy for anybody to use. This stack is real. It's proven.
We're serving trillions of tokens in productions every few days. The cool thing about it is it provides industry-leading performance across different hardware. It's not just for the industry leaders' hardware. It can actually scale. Recently we announced that we expanded Modular's platform beyond just GPUs. We now support data center special purpose accelerators. This isn't a small step either. We actually didn't go from one to two. We went all the way to six. We now support six different major architectures from six different hardware vendors with a unified stack, something that's never been done before. Of course, one of them is special. We announced just last month that we've been working with Qualcomm for quite some time. We've been bringing the stack to the Qualcomm Dragonfly family of data center accelerators.
We showed how we can deliver industry-leading performance on the system. The system is built on Qualcomm's incredibly scalable NPU platform. You've heard a lot about that today. The exercise was seamless because we built on Qualcomm's mature software for the NPU. We brought it together with Modular's scalable stack for AI and for performance. The cool thing about this is it really doubles down on our mission. Our mission is simple. Unlock this heterogeneous compute. AI hardware's only going to get weirder as we go forward. The innovation's incredible. It's not just about the hardware, it's about giving the developers freedom to use open stacks and open systems and be able to go to the hardware that makes the most sense for their use cases without having to jeopardize that performance that they need to deliver the experiences.
This just gives everybody choice while enjoying what they like to build. If you come back to Qualcomm's investment, it's not just about the data center, right? Qualcomm, of course, scales from microwatts all the way up to kilowatts and beyond. It's done so with a very scalable hardware platform that's itself very modular. One of the cool things about this platform, this approach, is that you can bring together the best in AI hardware, the best in software, and you can deliver the scalable experience to everyone. As Modular's just recently joined Qualcomm, we're of course bringing this entire software platform to the entire portfolio. Of course, that means Snapdragon, right? We've just started on this. Thank you.
We have just started on this work, but we are very excited about this because we know the power of all the incredible devices we have been talking about today and yesterday. We know that developers everywhere will be able to benefit from having a seamless software stack that scales. That means that they will be able to build things they have long dreamed of but never been able to express. We are not the only ones that are excited about having a unified AI platform for Snapdragon. We are very excited to partner with Microsoft to deepen our support for the Modular stack on the Windows platform. I am happy to introduce Logan Iyer, who is the CVP of the Windows Platform of Developer for Microsoft, to share what this means to bring the software technology to millions of developers building with Windows today. Let us take a look.
At Modular's ModCon conference in August, we shared that our teams are working together on native Windows support for Mojo. It is exciting to see the momentum the language is building. Windows supports a broad and diverse ecosystem, giving our millions of developers the flexibility to use the tools and frameworks that best meet their needs. Bringing native Mojo support to Windows is about expanding those choices. With Mojo, you can do systems-level programming with familiar Python syntax and get optimal performance on Windows. The portability carries over across platforms and vendors from edge to cloud. Native Windows support is an exciting next step for the Mojo ecosystem. We are happy to partner with the Modular team at Qualcomm to bring a first-class Mojo experience to Windows.
Thank you, Logan. I think it is incredible news that we get this benefit both for the Snapdragon ecosystem and the Windows community. Next, I want to introduce somebody onto the stage who is just as excited about all this as I am. Our work here goes very deep, and we have a lot to do with Compute. I am very excited to introduce my friend, Kedar Kondap. Kedar.
Sir, thank you.
Thank you, Chris. Every time that I come to Snapdragon Summit, it almost feels like a moment of reflection. It is just gratifying to see how far we have all come in our compute journey. Today is not going to be about new silicon. What it is going to be about is what got built on top of this silicon, the products, the partnerships, and we are ever grateful for this. It was only a couple of years ago that we stood here and said that the PC was being reborn. Back then, every conversation began with software compatibility. Everybody asked us, "Will my app run on this device?" My friends, all of these discussions are now a thing of the past. Today, more than 7,300 apps now run on Windows on Snapdragon. Thank you. We have more than 170 designs across every major PC manufacturer, across different form factors.
We have more than 1,800 ecosystem devices that have been tested for interoperability, for compatibility. Not just that, we have more than 12,000 stores that now carry these devices across 120 global retailers. More than 150,000 sellers have been trained on how to sell PCs that are powered by Snapdragon and the cool technology that comes with it. Every bit of it came from our partners, the OEMs, ISVs, retailers, and the developer community. Thank you for believing in our journey. Let's now talk about our favorite topic. It would be a miss if I don't talk about it. We want to talk about AI. We are entering a new phase of AI. We believe that intelligence is no longer defined by a model that sits in the data center. It is becoming distributed across the cloud, across the edge, and across billions of devices.
Not just that, the unit of AI is also changing. We used to all think in terms of models, we used to think in terms of compute, but now we all think in terms of tokens. We think in terms of inference. We think in terms of the value that is created by every single interaction across these devices. The question is no longer, how big is the model? It's about where should this inference happen. Some inference belongs to the cloud. We know where we have enormous compute and some of the largest models that are running in the cloud. But an increasing amount of this is moving to the edge, onto PCs, phones, cars, robots, and almost every single intelligent device that exists on this planet. Why? Because latency matters. Privacy matters. Connectivity matters.
When you think about the scale at which we're operating, the economics of sending every single token to the cloud simply doesn't work. Each one of the devices that you've heard about, the phone, the earbuds, the XR glasses, your automotives, personal computers, think of each of these as an edge node. Each of these has its own sensors, its own compute, and more importantly, each of these has a view of the user. But the most interesting part is together, they turn personal context into real-time intelligence that never has to leave you. But what comes next is even more interesting. It's the device-to-device orchestration.
It's the devices that understand the capabilities around them, and they decide dynamically where a task should run, whether it should run locally, whether it should run on a nearby device, should it run on the edge, or maybe it just runs in the cloud. We believe that is the new architecture, a distributed, intelligent fabric. The cloud brings the largest models and the deepest reasoning. The edge will bring low latency and local intelligence. All of the devices I talked about will bring the sensors, they will bring the context, and they will bring all of the specialized model. The orchestration is what is going to decide where every inference is processed, and that, too, in the most efficient manner. The goal for us is not to move everything from the cloud to the edge.
It is to make the system intelligent enough to know where is the right inference and where does it belong at the right moment. The PC is where this does get more serious. The PC is one device that has the most amount of thermal headroom, the memory, and the sustained compute to be able to run some of the largest models locally. When an agent must reason across each of your tasks, it typically will run on a PC. This is exactly why we built the Snapdragon X Series, a heterogeneous architecture that has a very powerful CPU, a GPU, and an NPU that is built to run sustained AI workloads. All of this happens at extraordinary performance per watt, only so that the inference can run all day on a battery without a round trip to the cloud.
With Snapdragon X Series, we always seem to take that a step further with more on-device AI, more performance, more memory, more bandwidth. We want larger models to be running on the PC. We want to be able to make the PC the anchor node of this distributed fabric, because when the PC can think for itself, everything around it just gets smarter. We now have a huge ISV developer community that is building on Snapdragon. These ISVs are taking advantage of bringing intelligence to the edge. They are building entirely new experiences for end consumers. Let's hear it from some of them.
Hi, from AnythingLLM.
Hi from LLMWare.
Hugging Face.
Clairvoyance.
Deepgram. Memories.ai.
We're bringing AI to everyone.
We build the video data infra. Speech generation. Frontier-level human intelligence. On device.
AI productivity on device.
Fast, entirely on the go.
Working locally on PCs powered by Snapdragon chips is amazing.
Amazing.
Faster than real time.
An incredible experience in both output and latency.
Running crazy fast.
We should be able to do 90% of what you want to do on device.
Where you have zero token charges.
And we're like, "Holy.
With Snapdragon X2 Elite, you can do it all on battery.
That's super important. We want to have as little time between install to aha.
Stop chatting, start delivering. All your data belongs to you on your device. This is a huge leap forward for everyone. This is finally the time to bring this intelligence locally.
This is bigger than us.
Snapdragon made the future possible.
Wow.
What machine is that? Snapdragon. Snapdragon.
Snapdragon.
Snapdragon.
That was awesome. The real part is, none of these experiences will reach anyone without any of the partners who are building the devices and the operating systems that are underneath them. Let me start with one of our longstanding partners, Microsoft. Microsoft has been with us throughout the entire Snapdragon X Series journey. Microsoft and Qualcomm work together at every layer of the stack to bring the best of Snapdragon and the best of Windows to the community. All of the work took shape in Surface devices that were powered by the Snapdragon X Series. Today, we have something special to share. To tell you more, please welcome my friend and long-term partner, Brett Ostrum.
Thank you, Kedar.
Brett, welcome to Snapdragon Summit.
Thank you.
I know you have some cool stuff to talk about and some cool announcements to make, but I do have something to share with you as well. As you are all aware, Snapdragon is a sponsor for Manchester United. Obviously, a very known global brand with more than 75 million global fans. Snapdragon has always been a sponsor and a partner with Manchester United for front of shirt. But we are now excited to have Snapdragon and Microsoft Surface be the back of shirt. Brett, I want to make sure I get you one of these shirts. Maybe we should do a quick picture moment with everybody here.
For sure. This is fantastic, Kedar. I am a huge sports fan, so this is going to go right with my Formula 1 and Seahawks jersey rotation.
Awesome. I cannot wait for it. You will obviously see a lot of the players wearing this on the soccer field stuff, and I think Don is going to share a lot more details later today with you.
Awesome. Totally, and what I love about it is it represents something bigger than just a logo or a moment. As you mentioned, the best partnerships are built over time.
Absolutely. Brett, why do not we talk about some of the device stuff? We have obviously done some pretty cool stuff over the last many years.
Yep.
You have a lot of X2 Series platforms in your portfolio. Why don't you tell us a little bit about it?
Sure. Back in June, we introduced the new Surface Pro and Surface Laptop with Snapdragon X2 Series. With our previous generation, people praised the performance, but the thing that they told us repeatedly was that they loved the battery life, so that is what we tune for. The thing we care most about isn't just performance. It is what the machine does at hour 10 with 30 tabs open, a call running, and a local model running all at once. It's pretty impressive.
Definitely. Brett, earlier I talked a lot about AI.
Obviously, the partnership with Microsoft has been pretty deep. You and I have had a lot of conversations on AI and the kind of collaboration both Microsoft and Qualcomm could be doing. Maybe you could tell our friends about the collaboration and the work we've been doing together.
For sure. I think we also have an opportunity to pivot what the industry conversation has been. It has been framed as cloud or device, and you must pick. I agree with what you said earlier, that we believe AI should not be confined to one place. Sometimes those workloads belong on the device. They are faster, they are always available, and, as you mentioned, the data never leaves the device. Others genuinely need the scale of the cloud. Most of the real work ends up happening, and it moves between the two, sometimes in the same session. That is why we built Snapdragon in a PC, because it does not make you choose.
Definitely. I know you have something fun to share, so why don't you tell us something about the new Surface lineup?
For sure. Let's head back to the center stage there, Kedar.
Awesome.
Super excited to share the new Surface devices for the first time here with Snapdragon in Maui. We have a Surface Pro 12-inch and a Surface Laptop 13-inch, both of them on Snapdragon X Plus. The Surface Laptop, 22 hours of battery life. And 95% faster local AI inferencing gen over gen, which means more of the work stays on the device. For the Surface Pro, 25% brighter screen and more than 60% faster graphics performance. We also have a 5G SKU, so the device is always connected. Both devices available for pre-order starting today.
Awesome. Brett, I cannot wait to get my hands on one of these devices. I think you have one more fun personal announcement.
Absolutely. As you said, super personal for me. I started my career at Microsoft in the PC accessories business. This category has always meant a lot to me. In Surface, we see accessories as more than just add-ons. They complete the desktop experience, and they help people stay in their flow, stay productive, stay focused, and ultimately being creative. We are excited to introduce a new Surface Mouse that brings the haptics experience that people know from our pens and our touchpads to the mouse itself. It brings precision, power, and productivity that you literally can feel. I know you tried this yesterday, and just like many people when they try it, as soon as you feel that feedback, you get a smile on your face. I love watching people's face light up each time that happens. It is not a spec sheet feature.
It is all about the delight that it delivers. Surface has spent 13 years being shaped by the people who use it, architects, developers, students, the people who build things before anyone else sees them coming. Everything we showed today was built for them with Snapdragon from the silicon up.
That was awesome. Brett, thank you for joining us. Why do not we show everybody a quick video of-
Absolutely
the new Surface devices.
Thank you, Kedar.
Thank you. Thank you, Brett. As you know, Microsoft is a perfect example of how we connect with all of the leading ecosystem players. Not just that, but we connect with the entire value chain. We connect with devices, the operating system, AI, ISVs, and so much more. Talking about partnerships, let's talk about another partner who we work very closely with, Lenovo. Lenovo is a leading innovator across multiple device categories. Lenovo has been a very close partner to Snapdragon, not just in PCs, but in multiple device categories. Let's hear it from my friend Emily on some of the recent joint announcements between Snapdragon and Lenovo.
Thanks, Kedar. I'm delighted to be joining you again. There are moments when you can feel an industry beginning to shift, and this is certainly one of them. Lenovo and Qualcomm have built something truly special together, a deep strategic partnership grounded in a shared belief that intelligent technology should be accessible to everyone. Snapdragon continues to push what's possible across performance, power efficiency, battery life, and AI. At Lenovo, we've been proud to bring these innovations to life across our portfolio. From PCs, smartphones, and tablets, to handheld gaming and wearable devices, we're seeing how Snapdragon's combination of performance and extraordinary power efficiency can deliver true mobility and create experiences that genuinely delight customers. Which brings me to the new Lenovo IdeaPad Vibe, powered by Snapdragon.
Designed with self-expression in mind, IdeaPad Vibe brings more personality to the PC with a fresh range of beautiful colors developed in consultation with the Pantone Color Institute. Snapdragon is fundamental to what we want IdeaPad Vibe to deliver, a highly personal mobile experience with a performance and battery life that allows customers to do more wherever they are. Because the best technology shouldn't ask you to adapt to it should understand you, adapt to you, and meet you wherever you are. We're just getting started. From new devices to the next generation of Googlebooks, Lenovo and Qualcomm aren't simply responding to what customers need today. We're working together to anticipate what they will want tomorrow. For me, that's the most exciting part. I look forward to seeing what we continue to build together. Thank you so much for having me.
Thank you, Emily. We always appreciate the collaboration with Lenovo. Let's switch gears a little bit. I'm going to talk about something that feels very personal. During my early days at Qualcomm, I was the product manager for our very first 1 GHz CPU platform. It was called the Snapdragon S1. The Snapdragon S1 powered the HTC Nexus One. In fact, I have one of those phones right here. Together with Google, we built the first apps for Android. We spent countless hours discussing what the world would look like when everyone had one of these phones. The discussions were from cupcakes to donuts to eclairs, and we worked with Google to drive innovation in phones. Together, we envisioned use cases such as video streaming. We enabled codecs. We talked about how GPS can be important. We talked about triangulating multiple satellites to give the best GPS location.
Today, fast-forward to where we are. This innovation has led to experiences that we all use. We use rideshare, we use video consumption, and so much more. Today, there are about 3 billion Android users, millions of apps and games across handsets, wearables, XR, gaming, tablets, automotive, all powered by Snapdragon. Yet, one device was missing. That is the gap that Googlebook closes. Native Android apps, the same services, the same Google account now on a laptop with Gemini Intelligence and Snapdragon X Elite right at the center of it. This feels like where we were two decades ago. We defined the requirements together. We pushed boundaries. To tell you more, please welcome my friend, John Solomon from Google, on stage.
Wow. Hi, everyone, and thanks, Kedar. What a great intro. Brought the energy. It's really fantastic to be in Maui here with all of you. As you heard from Cristiano and Rick, this has been a partnership that has gone way back from the first Android smartphone, and it's really been one of these industry-forming, most rewarding partnerships that you can ever have. So hugely grateful for that. Together, Qualcomm and Google have constantly reimagined what personal technology can do. When we started building laptops at Google, believe it or not, over 15 years ago, we had a simple goal. We wanted to strip away the friction and the legacy of where operating systems were at the time. We focused on pure fundamentals, things like speed, security, all-day battery, and we also really up-leveled security with our Titan chip.
We wanted to get away from the bloated experience and really deliver a fast, simple experience, and Chromebooks did that. Chromebooks have been incredibly successful. They provided a simple, fast, and accessible computing experience. This is why today Chromebooks remain essential computing tool for tens of millions of consumers, students, business users around the world. I want to make this point very strongly. Our commitment to being that accessible computing platform, it remains as strong as ever. But, as we look at how computing has evolved, user expectations have clearly shifted. You have heard a lot about that today. Today, if you think about how we all work, our most important ideas do not start at our desk. They start on that walk. They start in the subway. They start in the taxi, in the Uber, at the coffee shop.
Then, a lot of times we need to take that work, and we need to continue working on our laptop. This is where the connection breaks. We call it internally the toggle tax. Lost files, fragmented workflows, companion apps do not feel. You have to restart work, and they treat our phone like a stranger. This is where the Googlebook notion comes in. Bringing together the best of ChromeOS and Android in a laptop that is quite simply the choice for the Android phone user. It is the perfect companion for those building and working at the frontier. Because it is built on the Android tech stack, it works seamlessly with your Android phone. It lets you easily hand off tasks from your phone to your laptop and do things which should be obvious and easy to do, such as accessing files that are on your phone.
You do not need to know where your files are, right? You should not have to remember. Is it on my laptop? Is it on my phone? We just make it simple. Access files wherever they are easily. Of course, you will be able to use the apps and services that you love for productivity and entertainment across these form factors. This includes, importantly, the full desktop Chrome experience. Not some half-assed thing, the full desktop Chrome. The entire Play Store catalog. We have worked with leading hardware partners, including Dell and HP, to deliver devices that set an uncompromised standard of craft, design, and performance. This is important to truly unlock the power of the new OS, the premium hardware. We, of course, needed the most modern silicon under the hood. That is why our partnership here with Qualcomm is so important.
Googlebook is quite simply built to harness the full power of Snapdragon X Elite. This platform gives us the kind of per-per-watt leadership that modern laptops desperately need. We are talking about the real desktop horsepower that you have been hearing about today, whisper quiet designs, and up to 19 hours of real-world battery life. More importantly, having Snapdragon architecture in your pocket and on your desk unlocks an entirely new level of cross-device continuity and productivity. Very importantly, desktop optimized Android apps running natively, including titles you love, like Adobe, CapCut, Netflix offline, and many more. You will be able to run lag free, and I will say it again, offline. Makers and builders, and everyone is a maker these days, can now use tools like Antigravity, Claude, and Codex CLI in our secure, isolated, uncompromised Linux environments.
Gemini Intelligence, coupled with the power of Snapdragon X Elite's 45 TOPS NPU enables Google books to understand the context of your work and the nuance of your needs. Features like Magic Pointer and Proactive Assistance anticipates your next steps, whether you're creating content or managing complex workflows. Now, what excites me a lot about this moment, frankly, most about this moment, is that we're not just launching a laptop. This is a whole new platform. We're taking an ecosystem that will continually evolve and grow. It's just the beginning, and we're super excited to be working with Qualcomm to grow it together. We'll be introducing even more use cases, we'll be serving more market segments, and we're going to be blowing this category up. Now, pre-orders just opened on these devices this week, so I hope you can take advantage of that.
Tomorrow, our VP of Engineering, PJ, will show you the deep technical architecture and underpinnings that made all of this possible. Thank you, and please enjoy the summit.
Thank you, John. We're very excited about this collaboration with Google, and I can't wait for all of you to get your hands on one of the Googlebook that are powered by Snapdragon. Now, I want to take a moment and talk about developers, because as developers, you are the reason why a lot of this really matters. We can build the most capable platforms in the world, but it's the developers who decide what it becomes. For many years, developers have asked us for one thing, Linux on Snapdragon. We heard you. Today, I'm excited to announce that starting with the Snapdragon X2 Series, Linux is officially supported on Snapdragon. Linux support with Debian will be available at the end of this year. Last year, we introduced our partnership with Humane to build a new agentic first device.
Today, we are delivering that vision with the HUMAIN Horizon Ultra AI PC. That PC delivers a brand new agentic OS that showcases what's possible on the Snapdragon X2 Elite when it is paired with innovative software that's built on top of Linux. This will be available in the first half of 2027. We are also enabling one of the most popular distributions in the world. To hear about it more, let's hear it from Cindy at Canonical.
Hello, Kedar, and welcome Snapdragon Summit attendees. At Canonical, we believe that technology should be open and accessible, and that's what we've built with Ubuntu. Ubuntu is the world's most widely used Linux distro, trusted by millions of developers, enterprises, and open source enthusiasts. This community has been very eager to build on Snapdragon. Today, I'm proud to share that the Snapdragon X2 Series platforms will be certified to run Ubuntu, and we're targeting certification in the first half of next year. That means the platforms will be rigorously validated for performance and stability to deliver the best Ubuntu experience out of the box.
We're excited for device manufacturers and our enthusiastic community to innovate on this foundation. This is open computing at its best. Together with Qualcomm Technologies and our partners, we're just getting started.
Thank you, Cindy. The momentum just doesn't stop there. Our OEM partners are also kicking off device-level support. ASUS is bringing Ubuntu to their Snapdragon X2 Series devices, starting in the first half of next year, with two of their most beautiful designs in the industry, the Zenbook A14 and the Zenbook A16. I can't wait to see all the developers and enthusiasts bring this foundation to life. I now want to take a moment to talk about another strong partner in the industry, HP. We have a broad collaboration with HP across multiple devices and operating systems. To talk more about our strong partnership, let's hear it from my good friend, Ketan Patel from HP.
Hello, Kedar. Thank you. Hello to everyone at Snapdragon Summit 2026. Delivering the next generation of intelligent personal experiences requires collaboration across the ecosystem. A powerful example of this is HP Googlebook 14, which we announced this week. It brings together HP's premium design and engineering, Qualcomm Snapdragon X Elite performance and efficiency, and Google's intelligent experiences. The result is a more intuitive, connected experience that helps people move seamlessly between their phone and a laptop. The HP Googlebook 14 is just the latest example of what is possible when we all work together as ecosystem. HP and Qualcomm is having a long history of pushing personal computing forward. That innovation is reflected across HP's portfolio of Snapdragon-powered devices, like our HP OmniBook and EliteBook AI PCs.
Together, we have brought some of the industry's most advanced AI PCs to market, high-performance experiences that redefine what users can expect from consumer and commercial PCs. We are enabling AI to run locally on the PC, unlocking more responsive, private, and efficient agentic experiences while bringing powerful AI capabilities closer to the user. Together, we are helping people to work, create, and collaborate in entirely new ways. We are also pleased to support Qualcomm in advancing Linux open-source enablement on HP devices. By expanding access to tools and platforms, we are creating a stronger foundation for developers and enthusiasts to bring new AI experiences to life. Thank you, Kedar, and the Qualcomm team, for demonstrating new possibilities on HP hardware with Snapdragon. Proud of what we have built together and the value we are delivering for our customers. Congratulations to the Qualcomm team on a great event.
We look forward to continuing to work together to shape the future of personal computing.
Thank you, Ketan. We obviously appreciate the partnership across multiple devices and operating systems. This year has been an incredible year of expansion for us, from Windows to Googlebook and now Linux. Three operating systems, and Snapdragon powering all of them. Agents do the real work on these machines, harnessing the power of silicon while keeping everything private and personal. This progress is possible when we build with our partners who share the same vision and then are bold enough to create it with us. I want to thank all our amazing partners who have supported us in this journey to revolutionize the PC. With that, I'd like to now invite Don McGuire to the stage. Thank you.
Well, aloha, day two. How are we doing? We're almost there, so stick with me. Over the past two days, we've talked a lot about agentic AI and the age of agentic AI, and the opportunities that it's going to create. We've also seen breakthrough silicon, incredible devices, and AI experiences that feel increasingly personal and intuitive. If there's one thing that you've probably heard repeatedly across Summit this week, it's this: innovation does not happen alone. It happens when great companies, great brands, and great communities come together around a shared vision. Yesterday, I talked about the power of partnership. Today, you've seen that come to life across all these sessions, and now I'd like to share another example of that. To help me do that, though, I really want to welcome my good friend, Sandra Andrews from Microsoft, to the stage.
Hello. Awesome. Good to see you.
Good to see you. How you doing?
Good.
Good. Welcome to day two.
I know.
All right. Are you ready? This is so exciting.
I know.
I'm like jittery. Okay. One of the things I love most about this partnership and our relationship with Microsoft is that we're always looking for new ways to show what's possible when our teams build together. Right?
Yep.
Okay. It's about creating experiences that people genuinely connect with. This next one is a perfect example.
Yeah. It is. Earlier this summer, we announced an exciting new chapter alongside the two brands and Manchester United. Besides seeing Microsoft Surface featured on the back of the Man U kits-
Right
we've teamed up to create an exclusive Manchester United Microsoft Surface laptop powered by Snapdragon.
Together, we're delivering beautifully crafted device that will have the performance, battery life, and all the AI tools that people expect. And it's giving us an incredible opportunity to put that experience in the hands of fans around the world in a way that feels personal, useful, and unmistakably Surface. Today, you all get a first look. This device combines the performance and intelligence of Surface with the passion and global reach of one of the world's most iconic football clubs. Don, I think it's time.
Should we show them?
I think we should.
All right, let's show them.
All right.
Isn't that gorgeous?
I know.
If you are a Manchester United fan, you are going to love this. I cannot wait to get my hands on one. What I love about this product, though, is that it represents something bigger than a device. It is what can happen when technology, innovation, and fandom actually come together, and it shows how we continue to evolve our work with Manchester United in unexpected ways, creating new experiences that only Snapdragon and Surface can help bring to life. Right?
Yeah. These are premium brands, and they are all coming together to excite fans.
It reinforces the incredible collaboration between Manchester United , Qualcomm, and Microsoft.
Now there is one more thing you all need to know. Only a few lucky fans are going to get to call this Manchester United exclusive Surface their own.
Besides me.
He thinks. All right, so get your phones out. Ready? We are going to scan this QR code, and this is how you are able to win from Manchester United. Be sure to follow Snapdragon, Surface, and Manchester United across all the social channels to see what we have coming next.
Right. You will also have a chance to see this device up close and personal at the Surface experience area, where you can explore the design, learn more about our partnership, and get closer to what we have created together. Sandra, thank you so much for being here. Do you have to leave with that?
I do.
Can you leave it with me?
It goes in the Surface Innovation showcase.
Thank you from Microsoft. Thank you, Sandra, for helping us bring this to life with Manchester United.
Thanks, Don.
Thanks so much. Okay, we are closing out day two. I know, hard to believe. But as we close out day two, I hope that you've seen what makes this moment so exciting. The agentic age isn't being built by one company. It's being built through collaboration, ecosystems, and partnerships, and through a shared commitment to creating experiences that are smarter, more personal, and more meaningful for people everywhere. Thank you. Thank you, thank you, thank you for joining us today. Mahalo everyone. Enjoy the rest of summit.