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- Ask which task a feature solves, not simply whether a device has AI.
- Check whether it runs on-device or sends data to the cloud.
- Test your real work scenario before paying more for an AI label.
Do not begin with “does it have AI?”
Many laptops, phones and appliances now carry AI labels. Some apply AI meaningfully; others rename an existing automatic mode. The useful question is what a device improves over a non-AI alternative.
Three checks before buying
Does the feature work in Vietnamese and in the software your team uses? Does it run locally or send data to an external service? Would the device still be worth its price if that feature were off?
Let a small trial decide
Give a representative group one concrete task and record time, data requirements and feedback. A short trial answers more than a marketing comparison table.
FAQ
Frequently asked questions
Does an NPU mean every AI feature runs locally?
No. An NPU supports some tasks, but individual features may still need the internet or a cloud service.
Should a company standardise on AI devices?
Only after a trial shows a repeated benefit that fits its data, software and budget.
References
Sources used in this guide
We prioritise official guidance and primary technical sources. Visit each source for full context and the latest updates.