Google Search Gets Agentic AI Overhaul With Gemini 3.5 Flash Default

Google Search Adopts Gemini 3.5 Flash and Native AI Agents

Google has overhauled its search experience with agentic AI capabilities, model upgrades, and a redesigned interface aimed at users who prefer conversational queries over keyword search. According to the Google AI Blog, Gemini 3.5 Flash is now the default model powering AI Mode globally, replacing the prior default tier. The announcement came during Google I/O on May 19, 2026.

One Billion Monthly Users Fuels Expansion

AI Mode adoption has accelerated beyond expectations. According to Google, the feature surpassed 1 billion monthly active users just one year after its debut, with query volume more than doubling each quarter. This momentum—coupled with an all-time high in total Search queries last quarter—signals sustained demand for conversational, agentic search experiences. The growth trajectory justifies Google’s investment in deeper model integration and agent infrastructure.

Redesigned Search Box Accepts Multimodal Inputs

Google’s intelligent search box represents the largest interface upgrade to Search in over 25 years, according to the company. The new box dynamically expands to accommodate longer, more descriptive queries and includes AI-powered suggestions that extend beyond keyword autocomplete. Users can now search across text, images, files, videos, and open Chrome tabs as input modalities in a single search action. The rollout is live today across desktop and mobile in all countries and languages where AI Mode is available.

Native Search Agents for Task Automation

Google is introducing search agents—customizable AI assistants that users can create, manage, and deploy directly within Search for recurring tasks. The initial rollout focuses on information agents that operate asynchronously (24/7 background operation implied by the truncated source text). This capability positions Search as a task-automation platform, not merely a query-answer interface.

Conversational Continuity and Context Preservation

The updated Search experience now supports seamless follow-up interactions. Users can ask clarifying questions directly from an AI Overview and transition into multi-turn conversations while Search maintains context across the session. As users explore deeper, the system dynamically refines link relevance and supporting article recommendations, blending traditional search results with agentic workflow.

Why This Matters

This evolution targets a fundamental shift in how users interact with search: from discrete, keyword-based queries to open-ended, agent-driven exploration. For teams building on Google Search APIs, the rollout of Gemini 3.5 Flash as default means latency and cost characteristics change—Flash models typically prioritize throughput over reasoning depth, making them suitable for high-volume agentic queries but potentially limiting for complex multi-hop reasoning tasks.

For competitors like OpenAI (with SearchGPT) and Perplexity, Google’s 1B-user installed base and native agent integration raise the bar for differentiation. If the agent experience proves reliable, Search could consolidate use cases that previously required separate agent platforms or workflow builders. The billion-user scale also creates a distribution advantage for Gemini 3.5 Flash adoption, compressing the timeline for frontier-model consolidation in production search systems.

The multimodal search box addresses a usability gap: many users struggle to articulate specific visual or document-driven queries in text. Accepting video and file inputs lowers the friction barrier and may capture search demand that traditional keyword interfaces miss. This is particularly significant for domain-specific search (legal, medical, scientific) where document context is essential.