Google AI Mode Surpasses 1 Billion Users and Launches Gemini 3.5 Flash as New Search Standard

São Paulo, June 2026 — Google took to the stage of its largest annual developer event, Google I/O 2026, held in May, to make the most ambitious announcement in the company's recent history: Google AI Mode, its artificial intelligence-based search mode, has surpassed 1 billion monthly active users. The volume of queries is more than doubling every quarter, and the product has fully transitioned to a new standard model: Gemini 3.5 Flash.

In approximately twelve months, the AI Mode has evolved from being an experiment restricted to the United States to becoming the largest agent-based search deployment on the planet, reaching nearly 200 countries and territories in 98 languages — all without subscription costs for end-users.

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From American Experiment to Global Scale

The journey of AI Mode is nothing short of breathtaking. The product was gradually launched for users in the U.S. in 2025 and, over the following months, received continuous expansions in languages and regions. What impresses analysts and competitors is not only the sheer number of users — 1 billion is a milestone that very few digital products have reached — but the speed at which this base has been built.

To put this into perspective: OpenAI's ChatGPT took about two years to reach around 400 million weekly users. Google’s AI Mode achieved 1 billion monthly users in almost a year, supported by the already established distribution of Google Search — which processes over 8 billion searches daily worldwide.

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Gemini 3.5 Flash: Speed and Efficiency at the Core of Search

The technical heart of this expansion is the Gemini 3.5 Flash, which has become the standard model for the entire AI Mode experience. Choosing a "Flash" model is not trivial: within Google’s hierarchy of models, Flash models are designed to deliver high-speed responses with superior computational efficiency, compared to the "Pro" or "Ultra" versions, which prioritize deeper reasoning at the cost of higher latency.

Why a "Flash" model at the core makes all the difference

• Reduced latency: Users experience faster responses, which is critical to maintain traditional search behavior — no one expects to wait more than two seconds for a search result.
• Massive scalability: With 1 billion users generating queries that double every quarter, a lighter model allows Google to sustain infrastructure without prohibitive operational costs.
• Democratization of access: The efficiency of Flash makes it feasible to offer the product for free in emerging markets, including much of Latin America, Africa, and Southeast Asia.
• Agent integration: Gemini 3.5 Flash has been optimized to operate in multi-step workflows — a fundamental characteristic for the so-called search agents, which not only answer questions but also execute tasks on behalf of the user.

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Search Agents: The Big Bet of I/O 2026

If the user numbers were the quantitative highlight of the event, the major qualitative shift presented at I/O 2026 was the advancement of Search Agents — search agents capable of performing autonomous multi-step searches, comparing information from different sources, filling out forms, making reservations, and delivering complete results to the user without the need to browse through dozens of pages.

These agents represent a paradigm shift: search ceases to be a tool for retrieving information and becomes a tool for executing tasks. Instead of typing "best hotels in Lisbon" and clicking on several links, the user simply instructs the agent: "Find a 4-star hotel in Lisbon for two people from July 10 to 15, with breakfast included and less than R$ 800 per night." The agent does the work.

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Google Antigravity 2.0 and the Agent Development Stack

Alongside the AI Mode for consumers, Google introduced at I/O 2026 Google Antigravity 2.0, a significant update of its suite of tools for developers looking to build agent-based applications. The platform includes:

• Enhanced Gemini 3.5 APIs with native support for multi-turn reasoning
• Integration with Google Workspace for agents operating within documents, spreadsheets, and corporate emails
• Agent orchestration tools that allow creating complex workflows with multiple specialized models
• Expanded support for the Model Context Protocol (MCP), a standard facilitating communication between agents and external tools

This layer for developers is strategic: by creating a robust ecosystem, Google seeks to become not just the interface for AI search but the infrastructure on which other companies build their own agent-based products.

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From AI Overview to AI Mode: A Two-Year Timeline

To understand the present, it's essential to revisit the recent past:

| Period | Milestone | |---|---| | May 2024 | Google launches AI Overviews in Search for U.S. users | | End of 2024 | AI Overviews expand to over 100 countries | | Early 2025 | AI Mode is launched in beta for selected users in the U.S. | | Mid-2025 | AI Mode begins to receive Search Agents in experimental phase | | End of 2025 | Accelerated global rollout, AI Mode available in dozens of countries | | May 2026 (I/O) | 1 billion monthly users; Gemini 3.5 Flash as standard; 200 countries |

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What Google Executives Said at I/O 2026

Liz Reid, Google’s Vice President of Search, was direct during the main keynote: "The AI Mode is not the future of search. It is the search of today." She emphasized that the adoption of 1 billion users in just over a year validates the company's bet on a radically different search experience.

Sundar Pichai, CEO of Alphabet, contextualized the moment as "the biggest transformation in the history of search," stating that Google is just at the beginning of a journey that will redefine how billions of people access information and execute tasks in their daily lives.

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Market Impact: Alphabet Shares and Advertising Revenue Concerns

The announcement had immediate repercussions in financial markets. Alphabet (GOOGL) shares responded positively to the set of news from I/O 2026, with investors interpreting the 1 billion user milestone as validation that Google managed to retain its search base during the transition to AI — something many analysts doubted was possible given the rise of competitors like ChatGPT Search, Perplexity, and Microsoft Copilot.

The advertising revenue question, however, remains the major point of contention. Google's traditional ad model relies on users clicking on sponsored links. In an experience where the AI Mode delivers direct answers, the number of clicks on ads is expected to decline. Google indicated it's developing new native ad formats for the AI Mode, but has yet to disclose detailed metrics on product monetization.

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What This Means for Brazilian Users

Brazil, as one of the largest internet markets in the world and with one of the most active populations in mobile searches, is among the countries included in the global rollout of AI Mode. Brazilian users can already access the experience in Brazilian Portuguese directly through Google Search, without the need for a subscription.

For the average user, the practical change is significant:

• More comprehensive and contextualized answers for complex questions
• Ability to ask follow-up questions in natural language
• Agents that execute tasks like comparing prices, summarizing documents, and planning trips
• Integration with Google services like Maps, Gmail, and Calendar

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Conclusion: Google Has Redefined Search — Now It Needs to Prove It Can Monetize It

Google AI Mode reaching 1 billion monthly users is undoubtedly one of the most significant milestones in consumer technology history in 2026. The company has demonstrated it can combine massive distribution, technical innovation, and global accessibility in a way that no competitor has been able to replicate until now.

Gemini 3.5 Flash, as the engine of this system, represents the maturity of a bet that Google has been making for years: to build AI models that are both powerful and efficient enough to operate on a planetary scale.

The next chapter — and the toughest — will be turning this billion-strong audience into sustainable revenue without alienating users with intrusive advertising or compromising the quality of answers. It is the classic tension between product and business, now played out on an unprecedented scale in the history of internet search.