What is the story
Google has officially launched AI mode in India. This is a huge step forward in search technology. This feature allows users to use natural language to ask freeform and complex questions. This movement comes after an encouraging initial response at the lab experimental stage here. Currently, you do not need to sign up for Google Labs to access this advanced search feature.
You can ask subtle questions about a variety of topics
AI mode allows users to ask subtle questions and cover a wide range of topics and complex concepts. You can search for information using audio or text, or you can send photos with lenses for a detailed response. This feature supports follow-up questions while retaining context from previous interactions. This feature features a custom version of Gemini 2.5, the latest addition to Google's large family of language models.
Features currently available in English
Advanced features of AI mode allow users to ask detailed questions without multiple searches. For example, you could ask how to get your energetic child to work indoors on a hot day without space or toys. According to Hema Budaraju, Google's Vice President of Search Product Management said that Indian users exhibit a specific appetite for complex queries during the LABS phase. This feature is currently available in English and will be rolled out gradually over the next few days.
Queries are 2-3 times longer than traditional searches
AI modes show significant changes in user behavior, with queries 2-3 times longer than traditional searches. This feature uses a sophisticated “fan-out” technique that breaks down questions into subtopics and resolves multiple queries simultaneously. This feature transforms searches into intelligent assistants that can infer from simple information tools.
Commitment to quality and safety
Budaraju highlighted Google's commitment to quality and safety in AI mode. She said the system is based on Google's core search quality and safety system and has been refined for over 20 years. It also includes extensive testing protocols such as “strict internal testing and hostile red teams,” allowing AI to handle challenging scenarios while maintaining safety standards.
