An AI PC is a laptop or desktop computer that includes a dedicated neural processing unit (NPU) alongside its usual central processor (CPU) and graphics processor (GPU), so that some AI tasks can run on the device instead of in the cloud. The term is mostly a marketing and product category used by chipmakers and PC manufacturers, and the exact requirements for the label vary by vendor program.
At a glance
- An AI PC adds an NPU, a low-power processor designed for AI calculations, to a standard business PC.
- It runs some AI features locally, such as background blur, noise suppression, live captions, search or small on-device models.
- Many popular AI assistants still run mainly in the cloud and work on ordinary PCs.
- Vendor programs set their own minimums for NPU performance, memory and features, so the label is not a single standard.
- For most buyers, it is a refresh-planning question: what to specify for devices you will own for several years.
What problem it solves
Running AI on a regular laptop’s CPU or GPU can drain the battery, heat the machine and slow other work. Sending everything to the cloud costs money per use, depends on a connection and means data leaves the device. An NPU is designed to run common AI workloads, such as the AI inference behind video effects or speech recognition, efficiently and at low power, so those features can stay on the device.
For IT buyers, the problem is mostly about timing. Business PCs are typically kept for several years, and operating system and software vendors are adding features that use the NPU. Buying devices without one at the next hardware refresh cycle could leave part of the fleet unable to run features the business later wants. Buying AI PCs too early, or for staff who will never use the features, can add cost without benefit.
How it works
An AI PC usually has a processor package that combines three engines:
- CPU for general work and the operating system.
- GPU for graphics and some heavier AI tasks.
- NPU for sustained, low-power AI work.
Software decides which engine to use. Operating system features, conferencing apps, security tools and productivity software can be written to send suitable AI tasks to the NPU. If software has not been written or updated to use the NPU, the NPU sits idle and the PC behaves much like any other.
Some features run fully on the device. Others are hybrid: a local model handles part of the job and a cloud service handles the rest. Vendor programs (for example, branded “AI PC” or “Copilot+ PC” tiers) often set minimum NPU performance, memory and storage, and some features are only available on devices that meet them.
When it matters for buyers
- At refresh time. If you are replacing laptops this year, ask whether the models on offer include an NPU and meet the requirements of the operating system and software you plan to use. A device lifecycle management plan helps you decide which groups need it first.
- For specific roles. Staff who spend much of the day in video meetings, transcription, content creation or data work may benefit sooner than others.
- For data-sensitive use. Local processing can keep some data on the device, which can help with privacy reviews, but each feature needs checking.
- For cost. AI PCs often carry a price premium at first. Compare total cost of ownership (TCO) over the device’s life, or consider subscription models such as hardware as a service (HaaS). See our field support overview for help with deployment and refresh logistics.
- For management. New on-device AI features may need policy settings in your endpoint management tools, including the option to turn some off.
Questions to ask vendors
- Which NPU does this model have, and does it meet the requirements of the operating system and AI features we plan to use?
- Which of our current applications use the NPU today, and which are on the roadmap?
- Which AI features run fully on the device, and which send data to a cloud service?
- What memory and storage do you recommend for on-device AI, and what does that do to the price?
- How are on-device AI features managed, updated and switched off through our endpoint management tools?
- What is the price difference against a comparable non-AI model, and how long will this model be supported?
How it differs from a standard business PC
A standard business PC has a CPU and a GPU and can still run AI software, including cloud AI assistants and some local models, but it does so without a dedicated low-power AI engine. An AI PC adds the NPU so suitable AI tasks can run on the device with less battery drain and less load on the other processors. In daily use, the difference mostly shows when software is built to use the NPU. For staff who mainly use cloud AI tools in a browser, a standard PC and an AI PC may feel much the same; the AI PC is mainly a bet that more software will use local AI over the device’s life.