Read past the AI badge.
A practical reading path through phones, laptops and on-device AI.
Start with the work you want a device to do. These connected explainers help you turn a broad interest in AI hardware into a set of concrete questions for your research.
Name your daily workload
List the applications, projects and environments that matter to you. Browser research, local development and editing video are different workloads. Record what is frustrating about your current setup before making a shortlist. A feature becomes relevant when you can connect it to a specific need, rather than to a broad promise about future productivity.
Understand the hardware behind an AI laptop →Separate local processing from cloud features
A device can offer a mixture of on-device and connected features. Check the exact feature you plan to use, the supported language, the region and whether an internet connection is required. Our smartphone explainer provides a starting point for reading those claims carefully. Confirm the current details for the particular device before making a purchase decision.
Understand what on-device AI means →Compare the whole device
Include the display, keyboard, memory, storage and battery experience in your notes. Look for reviews that identify the tested configuration and workload. If two results were measured under different conditions, record the difference instead of treating the numbers as directly comparable. For a local purchase, confirm the seller’s exact listing, warranty and return terms.
Explore the technology hub →Keep uncertainty visible
Separate features available today from announced capabilities. Write down the source and date of each important claim in your own comparison. If a review does not cover your intended application, leave that question open. A useful shortlist explains both why a device could fit and what you still need to verify.
Look up NPU and related terms →