Apple’s Siri revamp could include auto-deleting chats
By Jakub Antkiewicz
•2026-05-18T11:45:06Z
Siri's Privacy-Focused Reboot
Apple is preparing to showcase a significantly revamped version of Siri at its Worldwide Developers Conference (WWDC) in June, positioning user privacy as a cornerstone of its new AI strategy. According to reports, the update will include features like auto-deleting chat histories, a key part of Apple's effort to re-establish its relevance in the AI assistant market. This move is timed to address growing consumer concerns over data handling by AI services and to offer a distinct value proposition against its rivals.
Technical Underpinnings and User Controls
The relaunch is expected to introduce Apple's first standalone Siri app, which will reportedly be powered by Google Gemini to provide a modern chatbot experience. This integration marks a significant partnership, but Apple aims to differentiate through enhanced user control over data. Key features are said to include:
- A new standalone Siri application for a more focused chatbot experience.
- Core AI processing powered by Google Gemini technology.
- User-configurable settings to automatically delete conversations after 30 days or one year.
- A privacy framework designed to limit how long user information is stored and used.
Market Positioning and Strategic Implications
By emphasizing privacy, Apple could be strategically framing its AI offering to both attract security-conscious users and justify potential feature gaps compared to more established AI products. This narrative, however, is complicated by its reliance on Google for some of the underlying AI processing. The approach underscores a critical industry tension: balancing cutting-edge AI performance with robust data protection, and it raises questions about how security and privacy responsibilities will be shared between the two tech giants.
Apple is betting that a strong privacy stance, including ephemeral conversations, can be a compelling market differentiator for Siri, even if it means relying on a competitor's core AI technology and potentially lagging on raw features.