Google Expands AI Mode to Five New Languages: A Game-Changer for Global Users

Google has officially launched its AI Mode in five new languages, significantly enhancing accessibility for users worldwide and marking a transformative moment in AI-powered search.

Short Summary:

• AI Mode now supports Hindi, Indonesian, Japanese, Korean, and Brazilian Portuguese.
• This expansion breaks down language barriers and promotes deeper web exploration.
• Technological upgrades include the Gemini 2.5 model, offering advanced multimodal capabilities.

In a strategic move to democratize information access globally, Google has unveiled an expansion of its AI Mode, now supporting five additional languages: Hindi, Indonesian, Japanese, Korean, and Brazilian Portuguese. This development comes after more than six months of being exclusively available to English speakers, marking a pivotal point in the evolution of Google’s AI-powered search experience, as noted in a recent announcement from the tech giant on September 8, 2025.

Hema Budaraju, Google’s VP of Product Management for Search, underscored the significance of this update, stating,

“With this expansion, more people can now use AI Mode to ask complex questions in their preferred language, while exploring the web more deeply.”

This sentiment reflects Google’s commitment to creating a truly global search environment, where language is a bridge rather than a barrier.

The Genesis of AI Mode

Initially rolled out as an experiment for Google One AI Premium subscribers in March 2025, AI Mode serves as Google’s response to other popular AI search platforms, including Perplexity and OpenAI’s ChatGPT Search. The AI Mode leverages a distinctive version of Gemini 2.5, known for its multimodal and reasoning capabilities. These features allow the AI to process complex, multi-part queries through a conversational interface, thus enhancing the depth and relevance of information retrieved.

During the initial phase, the AI Mode relied on a query fan-out technique that enabled it to break down user inquiries into numerous subtopics while concurrently processing hundreds of related searches. This method ensures that users receive comprehensive responses rather than simply ranked links, enhancing the overall user experience.

Expanding the Reach: Multimodal Capabilities

The recent rollout introduces advanced multimodal processing capabilities that empower users to utilize not just text, but voice and image inputs as well. This fundamentally transforms the traditional search approach—where queries were merely based on keyword relevance—into a more complex interaction that mirrors human conversation.

As part of its ongoing evolution, Google also rolled out agentic features within AI Mode. These features allow the system to assist users with practical tasks, such as finding restaurant reservations. Additionally, support for local service appointments and event ticket bookings is on the horizon. Currently, these functionalities are only available to Google AI Ultra subscribers in the United States through the “Agentic capabilities in AI Mode” experiment, which operates within the Labs environment.

Global Implications and Cultural Nuance

The language expansion signifies Google’s recognition of diverse global search patterns and user needs. Each new language comes equipped with local context understanding, enabling responses that consider cultural nuances rather than simply translating English terms. As Budaraju said,

“Building a truly global Search goes far beyond translation — it requires a nuanced understanding of local information.”

Comprised of vast populations where English isn’t the primary language, the newly supported languages play an essential role in fostering digital inclusivity. For instance, the introduction of Hindi opens up advanced search capabilities to a major internet user base in India, which has developed into one of the world’s largest markets. Similarly, Japanese and Korean users stand to benefit from a sophisticated AI approach tailored specifically to their linguistic nuances.

Furthermore, as Indonesia and Brazil expand their online presences, this inclusive strategy assures that search experiences are not just localized but genuinely reflective of the users’ expectations, thereby encouraging richer and more meaningful interactions with the digital landscape.

Technical Innovations: The Backbone of Google AI Mode

At the core of Google AI Mode’s technological enhancements lies Gemini 2.5. This advanced AI model excels in its ability to interpret and generate responses across different media types, including text, images, and audio. Such capabilities allow it to effectively respond to intricate user queries by synthesizing information from multiple sources, a feat previously unattainable with traditional search frameworks.

These updates align with broader automation trends in marketing, including a shift from manual advertiser configurations to automated, AI-driven language detection, which will be fully operational by 2025. This marks a significant departure from traditional language targeting strategies and reflects a commitment to leveraging machine learning algorithms to enhance precision in targeting.

Impacts on SEO and Content Creation

The rollout of AI Mode with multilingual support holds significant implications for website publishers, content creators, and marketers. Insights from recent research indicate that visitors coming from AI-driven search experiences tend to exhibit up to 4.4 times higher conversion value than traditional organic search visitors, a trend that could disrupt standard SEO practices.

However, there exists a prevalent concern among publishers regarding potential declines in overall website traffic. Google’s insistence on the enhancement rather than obsolescence of traditional web traffic indicates a nuanced understanding of balancing AI-generated summaries with user engagement.

On the enterprise side, Google is exploring the utility of AI Mode within its Workspace accounts, bridging the gap between consumer-oriented features and corporate applications. This means businesses can leverage AI Mode to parse complex organizational queries, allowing users across different markets to benefit from advanced search interfaces in their native languages.

The Future of AI and Search Integration

Anticipating user behavior changes and evolving digital landscapes, Google is directing substantial investments into its AI infrastructure, amounting to approximately $75 billion throughout 2025. This investment encompasses data centers and computing resources vital for sustaining high-performing AI applications within the search domain.

As this AI integration becomes more deeply embedded within search products, it will likely set a new industry standard, compelling competitors to enhance their own multilingual offerings to keep pace. This could lead to richer, more comprehensive interactions with search engines, where information is customized to individual users’ context, needs, and cultural norms.

Conclusion: A More Inclusive Future

Google’s unveiling of AI Mode in five new languages is a significant leap towards creating a more inclusive future for global search experiences. By actively dismantling language barriers, Google not only enhances the way information is captured and conveyed but also fosters an environment where knowledge is readily accessible to diverse populations.

This transformative approach promises to shape the dialogue surrounding how search engines adapt and grow in tandem with advancing AI technologies. As we progress, the inevitability of utilizing AI-powered search mechanisms will herald a new era for information discovery, transcending linguistic limitations and paving the way for a truly connected world.

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