Dedicated AI processing hardware — once mostly limited to flagship, higher-priced laptops — is increasingly showing up in mid-range models as manufacturers standardize around on-device AI features like live captioning, background noise suppression, and local image editing tools.
The practical impact
For everyday buyers, this generally means better battery efficiency for AI-assisted features, since dedicated hardware handles these tasks more efficiently than routing the same work through a general-purpose processor.
As covered in our related explainer on edge AI, this shift is part of a broader move toward processing more tasks locally rather than relying on a constant cloud connection.
About the author
Sarah Bennett
Technology Editor
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