Gemini app expands Google Maps Personal Intelligence, replacing Deep Think
The update introduces conversational features in CarPlay navigation. It is available in the US and aligns with prior Android and iOS experiences.

Google has expanded the Gemini app's integration with Google Maps, introducing Personal Intelligence as a replacement for Deep Think. This update allows users to interact with Gemini while navigating via CarPlay, offering a more conversational driving experience. The feature lets drivers ask multi-step questions and issue commands, such as finding parks with scenic views or avoiding toll roads, enhancing the navigation experience.
The integration of Gemini into Google Maps reflects a broader effort to improve user interaction with AI-powered tools during navigation. This feature is now accessible through CarPlay, providing a seamless experience for users in the US. The update aligns with similar navigation capabilities introduced on Google Maps for Android and iOS last year, indicating a consistent approach to AI integration across platforms.
This expansion marks the first time Google Maps has introduced such conversational features in CarPlay navigation. The feature is available to users in the US and builds on prior implementations from 2025, which were initially rolled out on Android and iOS. The integration of Gemini into Google Maps for CarPlay demonstrates Google's commitment to enhancing user engagement with AI tools in real-world scenarios.
The integration of Gemini into Google Maps raises questions about cost, vendor lock-in, and governance. As AI features become more embedded in core applications, users may face increased dependency on Google's ecosystem. This could influence market dynamics, as competition in AI-driven navigation tools may intensify. Additionally, the expansion may impact user expectations regarding data privacy and the extent of AI integration in everyday applications.
The rollout of Gemini's Personal Intelligence in Google Maps for CarPlay is still developing, with ongoing refinements expected. The feature has been well-received in initial tests, but its long-term success will depend on user adoption and the effectiveness of AI-driven navigation. As the feature continues to evolve, it may set new standards for AI integration in automotive and mapping technologies.