Google Search Evolves Into an AI Information Assistant... New AI Model 'Hydrogen' Deployed [Global AI Briefing]

[Financial News] Google is moving to reshape the search market by putting its artificial intelligence (AI) models front and center.
Google has unveiled a new search service that breaks users’ complex questions into multiple parts, searches them simultaneously, and gathers relevant information to organize into comparison tables and images.
Instead of the traditional approach of listing search results, AI now finds and organizes information. As users no longer need to visit other sites after searching the internet, major shifts are expected in the internet market, including online shopping and news search.
On the 12th (local time), Google officially unveiled Gemini 4 Hydrogen, developed by Google DeepMind. Unlike high-performance models focused on complex reasoning, Hydrogen is an AI model designed for fast execution and efficient task processing.

When a Google Search user enters a question with multiple conditions in the search box, Hydrogen identifies the user’s intent, breaks down related topics, and searches them simultaneously.
For example, if a user asks for travel destination recommendations and provides details such as their budget, transportation, accommodation, and family members, Hydrogen finds information on each and provides comprehensive results—including comparison tables, images, graphs, and customized tools for each destination—rather than just website links.
Users do not need to select a model separately. Hydrogen is being applied across Google Search worldwide and will serve as the default model in AI Mode.
Google said, “Hydrogen enhances its ability to search multiple subtopics simultaneously, enabling users to find relevant websites and resources they may not have discovered before.”
The market expects Google’s unveiling of Gemini Hydrogen and its automatic integration into the search box to reshape the competitive landscape in search.
That is because users could move from entering search terms, following the links provided, and visiting websites directly to compare information, to explaining their requirements to AI and receiving comprehensive answers.
The impact is expected to be particularly significant for the news and content industries. If AI summarizes information from multiple websites, users will be more likely not to visit the original sites.
As a result, changes are expected to be inevitable in the distribution strategies of news organizations and content businesses that have relied on search-driven traffic and advertising revenue.
There are also concerns that the existing e-commerce business model, in which AI compares product prices, performance, and user reviews to help people make purchasing decisions, could be threatened.
[email protected] Lee Gu-sun Reporter