Trend On-device AI opens an era of hyper-personalisation
Summary
The report sees on-device AI, which runs computation on end-user devices such as smartphones, leading a new wave of innovation beyond the limits of cloud-based AI. Dedicated AI chips integrated into phone and PC processors, together with model compression, now allow capable models to run on small devices with little memory. Because it works without a network connection, on-device AI sharply improves response speed and reliability for services such as autonomous driving and real-time medicine. Processing data inside the device lowers the risk of transmission or exposure, protecting sensitive information such as habits and biometric data. As AI becomes built into every IoT and edge device, user experiences are expected to become thoroughly personalised, creating new markets such as precision healthcare.
Classification
Evidence 1
- 한국지능정보사회진흥원(NIA) NIA가 전망한 2026년 12대 AI·디지털 트렌드 한국지능정보사회진흥원(NIA) no link — bibliographic entry p. 24 2025-12-31 accessed 2026-09-30
Observed signals 3
Part of issues 1
- IssueKorea's low-power chip and on-device AI industry strategy1 trends · 0 signals
Relation types: constitutes · supports
Public id: fm-c05a3a6a805b
