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Reading: AI Mode goes global: Google brings multilingual support to its smartest search yet
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AI Mode goes global: Google brings multilingual support to its smartest search yet

GEEK DESK
GEEK DESK
Sep 9, 2025

Google’s AI Mode is finally breaking out of its English-only bubble. Starting this week, the generative AI feature inside Google Search is expanding to five new languages: Hindi, Japanese, Indonesian, Korean, and Brazilian Portuguese.

The timing couldn’t be more significant. Hindi alone boasts more than 609 million speakers, making it the third most spoken language globally after English and Mandarin Chinese. Indonesian and Japanese also rank among the top 20, ensuring this rollout massively broadens AI Mode’s potential reach.

When AI Mode debuted earlier this year as an evolution of Google’s AI Overviews, it was marketed as a more powerful, multimodal way to use Search. Instead of simply generating summaries, AI Mode uses what Google calls a “query fan-out” approach — running multiple sub-searches across different topics and sources before pulling everything together into a more detailed, nuanced response.

With the integration of Gemini 2.5, Google says AI Mode can better capture local language nuances, helping avoid some of the clumsy translations and awkward phrasing that have plagued machine-generated responses in the past.

Beyond text, AI Mode is already evolving into a multimodal assistant. Users can upload live camera feeds for real-time context, view data visualizations and graphs for finance queries, and engage in conversational back-and-forth via Search Live. More recently, Google added personalization features, like the ability to book restaurant reservations by factoring in your preferred cuisines, group size, times, and location.

The expansion marks Google’s most ambitious step yet in making AI Search global-first rather than English-first. Considering the company already rolled out AI Mode to more than 180 countries last month, this language support could accelerate adoption among non-English users who had been left waiting.

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