In a major step toward smarter communication, WhatsApp has begun rolling out an AI-powered feature that automatically summarizes unread messages. The feature aims to help users quickly grasp key points in conversations they may have missed, especially in busy group chats. This enhancement is part of Meta’s broader strategy to embed artificial intelligence into its core platforms, including Messenger and Instagram.
Powered by Meta’s Llama AI
The new feature uses Meta’s in-house Llama 3 language model to process and generate accurate, concise summaries. It identifies important topics, highlights sender names, and organizes the information in an easy-to-read format. This allows users to catch up on long threads without reading every single message—ideal for those constantly overwhelmed by dozens of unread notifications.
Test Phase Begins on Android and iOS
Currently, the AI summaries feature is being tested with a limited group of users on both Android and iOS. Selected users can access the summaries by simply tapping a prompt above their chat window that appears when they return to a conversation with unread messages. Early feedback suggests it significantly reduces time spent reading and increases clarity.
Integration with Meta AI Assistant
Alongside the summaries, WhatsApp is also testing further integration with Meta AI. Users can ask the assistant for explanations, suggestions, or follow-ups directly within chat, bridging casual messaging with AI-supported productivity. The assistant also helps with real-time information retrieval, message drafting, and more.
Global Rollout Expected Soon
Although still in beta, the feature is expected to roll out globally in phases later this year. Meta has emphasized its commitment to user privacy, assuring that summaries are generated on-device and remain end-to-end encrypted.
Final Thoughts
With this update, WhatsApp joins the growing list of apps transforming user experience through generative AI. As communication apps become more intelligent, features like AI summaries could redefine how users interact with digital conversations—turning message overload into manageable insights.