By Peter Chambers

Over the past few years, artificial intelligence (AI) has started appearing across the PC industry. Today, many devices are marketed as an “AI PC,” but in real-world use, that promise does not always feel the same. The category has taken shape quickly: Microsoft’s Copilot+ PC standard, introduced in 2024, set a common baseline — an NPU rated at 40 TOPS or higher, along with minimum memory and storage requirements — and chipmakers including AMD, Intel and Qualcomm now ship processors that meet it. Analysts at firms such as IDC and Canalys project that AI-capable PCs will account for the majority of PC shipments by 2027. For buyers, though, the label on the box still says little about daily use.

That is where the difference lies.

At the end of the day, people do not use a computer to “test technology.” They use it to get real things done: play games, study, edit a video, talk to someone, watch something they enjoy, or simply move from one task to another without losing momentum. It is in everyday use that everything becomes noticeable. You feel it when a feature responds instantly and when it does not. You notice when a tool supports you without interruption, and when every action adds a small amount of friction that pulls you out of focus.

In my own experience, I notice it in moments when everything needs to flow: quickly editing something, switching between windows, adjusting content, or simply moving forward without thinking about the technology itself. There are devices where that happens almost without you noticing, and others where every step, even a small one, slows you down.

One of the biggest factors shaping that experience is where the artificial intelligence actually runs. When AI is processed in the cloud, tasks depend on a network connection and round trips to remote servers. When tasks are handled directly on the device — typically by a dedicated NPU working alongside the CPU and GPU — everything feels more immediate and more natural. There are no unnecessary waits and no interruptions. It simply works.

That also changes the way people use a PC. It is no longer just about opening applications, but about interacting with tools that better understand what users are doing — from organizing information to suggesting improvements or automating small tasks that were once done manually. The set of software built to work this way keeps growing, from operating-system features such as live captions, translation and camera effects to creative and productivity applications that list NPU acceleration among their capabilities.

At the same time, another factor becomes increasingly important, even if it is not always consciously considered: control. When more things happen directly on the device, the experience feels different — more direct and more personal. It also means the data involved in those tasks stays on the machine rather than traveling to remote servers. In a world where the computer is an extension of work, creativity and communication, that begins to matter.

Over time, another point becomes clear: it is not enough for a PC to simply be capable of doing all this. It also has to sustain it, without slowing down, without affecting everything else, and without making the user feel as though they must adapt to the device instead of the other way around. That is why choosing an AI PC today is not only a technical decision. It is also a decision about how a person wants the experience to feel every day: smoother, simpler and more natural.

In a market where everyone talks about artificial intelligence, what truly makes an AI PC relevant is not just having AI, but how that AI is integrated and how it feels in real-world use. The clearest way to judge that is to look at which everyday applications and features actually run on the hardware in front of you, rather than somewhere in the cloud. That is where the promise stops being marketing and becomes an experience.

Peter Chambers is the AMD senior director for OEM Sales for the Asia-Pacific and Japan region and Country Manager for Australia.