Core Summary
Apple’s new Siri AI continues to draw sustained complaints from iPhone and Apple Watch users, with five recurring issues concentrating on weak language understanding, slow response, unstable cross-app execution, insufficient ecosystem integration, and weaker personalization than competing assistants. The wave of feedback highlights notable gaps in Apple’s on-device large model, personal context understanding and ecosystem coordination, which may affect its product pace and user trust in the on-device AI track.
Event Details
According to 9to5Mac and other tech outlets, since the rollout of Apple’s new Siri AI, users have consistently reported five categories of issues on social media and product forums: first, complex natural language instructions are still understood less accurately than users expect, with frequent off-target answers; second, response speed in some scenarios remains slow, especially on small-screen devices such as the Apple Watch; third, cross-app execution is unstable, with frequent failures in combined tasks such as ordering food delivery while checking the calendar; fourth, integration with the iOS and macOS system-level ecosystem is insufficiently deep, with some functions still requiring third-party bridging apps; fifth, personal context memory and personalized recommendation capabilities lag behind mainstream competitors.
Apple has not yet issued a systematic response to the feedback, and the industry believes the company may focus on optimizing the relevant models and system call chains in the next major system update. The wave of feedback highlights that, as on-device AI assistants become the key entry point for the next generation of human-computer interaction, Apple must both catch up with frontier large model capabilities and balance ecosystem integration, privacy protection and device performance.
编辑：GoodInfo全球资讯组