On-device AI is a margin decision
The aspects engineering leaders should weigh before betting on on-device AI: margin, privacy, battery, a fragmenting stack, the hardware your users actually carry - and the one phrase it all hinges on.
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On-device AI is a margin decision Adding an AI feature is the easy call; the consequential one is quieter, and it is the question of where the inference actually runs - on someone else’s servers, or on the device in your user’s hand. Marco Abis · June 10, 2026 · 6 min read That single choice ripples into your gross margin, your privacy posture, your app-store reviews, and how much of your senior engineers’ time disappears into hardware archaeology, which is why it deserves more than a line in a planning doc. The margin case is the loudest of those, so I start there, but it is only one of several aspects worth weighing before you commit a roadmap to on-device inference, or decide to rule it out. 1.
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