A major shift is underway at Google, the American tech giant, as it gears up to overhaul its search service to include short videos and posts from social networks alongside conventional results. The move also envisions a chat interface powered by artificial intelligence directly within the search bar, creating a more interactive way for users to explore information. This transformative plan has been reported by The Wall Street Gazette, a publication known for its coverage of tech industry developments.
According to the report, Google plans to depart from the traditional method of presenting search results as a simple, long list of links. The new approach aims to blend multimedia elements with conversational AI, reshaping how users encounter and interact with information online. The shift appears to be a direct response to how people now access knowledge on the Internet, where AI-assisted tools and dynamic media play an increasingly central role. (Source: The Wall Street Journal)
Insiders say Google is encouraging its developers to move beyond the familiar ten-link page format. The goal is to create a more fluid and visually engaging experience that integrates various content types, including video snippets and social chatter, into the search ecosystem. This redesign reflects a broader industry trend toward richer, multi-modal results that combine text, media, and real-time conversations. (Source: The Wall Street Journal)
Rumors indicate that Google will roll out a slate of new features in the near future. Among the most anticipated is the ability to converse with an AI-based assistant directly within the search experience. The project has reportedly been given the codename Magi, signaling a focused initiative to embed intelligent dialogue into everyday queries and tasks. (Source: The Wall Street Journal)
Earlier reports suggested that Google intends to add a conversational AI layer to the search engine, enabling users to pose questions and receive direct, contextual answers. This vision points toward a more interactive form of search that anticipates user intent and offers follow-up questions or clarifications to refine results. The shift aligns with broader industry moves toward AI-assisted information retrieval and personalized assistance. (Source: The Wall Street Journal)