HP Inc. The Six Five Summit: AI Unleashed 2026
Review the key takeaways and the transcript of this earnings call.
- HP is positioning the PC as a personal intelligence device, driven by three fundamental shifts: widespread deployment of autonomous agents, personalized human-agent collaboration with governance and security, and increasingly powerful PCs capable of hosting large AI models locally.
- Nearly 72% of organizations are deploying or piloting AI agents, which will increase device intelligence and enable autonomous assistance for users.
- HP highlights the economic impact of AI workloads, noting that some customers' AI-related costs have increased from $20 million to $200-300 million annually, making AI economics a CFO-level concern.
- HP's PCs can host large open source models locally, with current laptops supporting 20 billion parameter models and on-premises systems hosting up to trillion-parameter models.
- The company emphasizes a hybrid AI future where large-scale model training remains in the cloud, but many inference workloads run on devices or on-premises to optimize economics, security, and governance.
- HP’s approach to AI involves three layers: intelligent devices with enhanced context awareness, a seamless workplace ecosystem integrating PCs with peripherals, and IT control platforms for device and agent management with strong security policies.
- HP sees a $6 trillion total addressable market for agent-based AI by 2028, with PC premiumization driven by AI capabilities and local model hosting as key growth opportunities.
- The company aims to unlock new software revenue streams and deliver value beyond hardware sales by enabling AI-driven personalization and distributed AI workloads.
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Transcript
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Next up is the AI Devices Track. HP is putting the AI PC front and center again this year, two years in, and the real question is whether enterprise refresh cycles are actually pulling forward or whether this is still a category hunting for the killer use case. Ryan, you know a lot about AI PCs. HP is arguing that the PC is becoming a personal intelligence device. Is that a real category shift, or is this just marketing frame on top of AI PCs?
I think it is a real shift in the market, right? I'm sure there's some marketing on top of it as well. But it is a new category, and I think we're seeing some of this in a lot of the work that we're doing at Signal65, where we're starting to look at not just do these AI PCs integrate an NPU, or what the performance is, or if they have higher end GPUs, but memory capacity is becoming something that's very important as well as people look to extend what the size and capabilities of the models that they really have on there. I think the arguments about data locality, and where that memory is resident at is really important to the conversation. I think something that we want to pay attention to is what are the procurement and RFPs at these giant enterprises really starting to look like?
I think more and more of them understand the potential value of running this AI locally, both from a security, privacy standpoint, but also just raw cost savings as well. I think there's some interesting changes that have to happen on the software side for that to really take off. But people should be thinking through, what does my hardware need to look like today to be a part of that near-term future?
Nick, what do you think?
Yeah, I just had another kind of enterprise sort of lens on that. It is whether IT actually has any policies in place for deciding which workloads belong on device versus what would belong on the cloud or elsewhere. You could think in some ways the hardware is, the capability of that is slightly ahead of that decision making. Until that catches up, the sort of personal intelligent device branding is, I would say in some ways, it is kind of a technical shift that enterprises in the whole are not necessarily positioned to fully exploit. I think there is definite value in the devices, is whether how it fits into that whole IT sort of coherent framing.
Yeah, it is interesting. Once again, we get back to this question of where will inference live? To your point, Nick, the hardware can handle it. It is a question of getting ahead of governance and policy in terms of where workloads will run. The other interesting aspect to this is, you go back to tokenomics, for lack of a better term. Just think of how much money you can save if you are not going out to some massive data center to generate work that you can do on your laptop that you have already paid for. As those costs are truly exposed, I think that enterprises are going to get on board with this move to more inference out at the edge. Let us go ahead and kick off the device or the AI device track, with Ketan Patel.
He is President of Personal Systems at HP, and he is going to be talking on the subject of, is the PC becoming a personal intelligence device?
Welcome to The Six Five Summit 2026. The theme of this year is AI Unleashed. Daniel, it is amazing over the last three years, all the twists and turns. I guess three years in regular is like 30 years in AI time.
Yeah. It's seven years of The Six Five Summit and how AI became just the epicenter for three years.
Yeah. Yet we're still unleashing it, and it's funny because despite the fact that we're so far into this process, Yeah it still feels very early to me.
I don't know. For sure.
One of the biggest trends that we're seeing is, the conversation used to be with AI was all about data center. Now it's very clear. You're looking for sovereignty, you're looking for token efficiency, you're looking for spreading all the love out, in the enterprise. Quite frankly, with consumers, that is going to be the client device and devices is going to be as important. We are here with the AI Devices Track opener, and I would like to introduce Ketan Patel, President of Personal Systems at HP. Great to see you, Ketan. It's been a pleasure to get knowing you outside of the video and our meetings.
Anyway, welcome. Thank you, Pat, and congratulations for The Six Five Summit.
I appreciate that. Yeah, it's just, Ketan, every year and it's moved so fast and you're in the middle of it, and it's a really exciting time.
Your job here is really talking about this shift that's going on and there's been some stop, some start, some acceleration. I think we're all realizing that we've entered this era, this time, where we're going to want to bring some workloads onto the device.
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