What real world benefits does artificial intelligence add to phones and laptops?

[Avery98]

I'm seeing a lot of new laptops and phones marketed with dedicated artificial intelligence chips or NPUs. Beyond faster photo editing or background blur in video calls, what practical, everyday performance benefits are users actually noticing? Is it mostly future-proofing, or does it tangibly improve things like battery life or app responsiveness right now?

[RichardS]

Yes, there are real day-to-day wins. NPUs handle on-device tasks like photo processing, live captions, and offline translation, which makes apps feel snappier and uses less cloud data. Apple’s Neural Engine in the M4 and Google’s Tensor G5 are prime examples. citeturn0search0turn0search1turn0search2

[Patrick90]

It’s not universal. If an app relies on cloud models, you won’t notice much energy or speed gains. Feature adoption varies by developers. citeturn0search2

[Gary_G]

Battery life benefits are real for certain tasks, especially when AI workloads stay on device; gains depend on workload mix. citeturn0search1turn0search2

[GaryJ]

To gauge impact, look for reviews testing on-device AI features and energy usage; many reviews note mixed results. citeturn0search3

[Mila92]

This is part of artificial intelligence applications 2025 shaping devices; more features and efficiency are expected as ecosystems mature. citeturn0search0turn0search4