Google has formally expanded its transformation of online search, moving beyond traditional keyword-based queries and toward an AI-powered ecosystem driven by autonomous digital agents. The development represents a significant change in how users discover information online. Instead of relying solely on search results pages, users are increasingly interacting with AI systems that can understand tasks and act on them directly.

The shift is being powered by Google's Gemini 3.5 Flash model alongside the company's May 2026 Core Update, introducing new search capabilities that increasingly allow artificial intelligence systems to perform tasks on behalf of users rather than simply displaying search results. The technology is designed to reduce the number of manual steps required to find information or complete actions online. Google says the update aims to create a more personalized and efficient search experience for users across multiple devices and services.

According to Google, its AI-powered search mode now reaches more than one billion monthly users, marking one of the largest changes to internet search behavior since the launch of modern search engines. The milestone reflects growing adoption of AI-assisted search experiences across global markets. The company continues to expand AI features into additional products as demand for conversational and task-oriented search tools increases.

A key feature of the update is the introduction of AI agents capable of continuously monitoring the web for specific information. Users can assign these agents to track apartment listings, monitor product availability, watch for price changes, or follow niche topics without repeatedly conducting manual searches. These agents can remain active in the background and deliver updates when predefined conditions are met. The capability is intended to save time and reduce the need for repeated searches throughout the day.

The company has also expanded what it calls agent-assisted commerce. Instead of directing users to websites where purchases are completed manually, AI systems can now carry out shopping-related actions in the background, including selecting products, adding items to carts, and completing transactions based on user instructions. This approach allows users to automate portions of the purchasing process while retaining control over final preferences and spending limits. The feature is expected to streamline online shopping and reduce friction during product discovery.

The growing use of AI agents is also expected to influence website traffic patterns and digital marketing strategies. As more users receive answers directly from AI systems, businesses may need to adjust how they present information online. Organizations are increasingly focusing on content structures that can be easily understood and processed by AI-driven platforms.

Google has additionally introduced a new web crawler identity known as Google-Agent. The user agent allows website operators and developers to identify visits and interactions originating from Google's AI systems through server logs and analytics tools. The addition provides greater transparency regarding how Google's AI technologies access and interact with web content. Site owners can use this information to better understand AI-related traffic and engagement trends.

The rollout highlights a broader transition in digital discovery, where artificial intelligence is increasingly acting as an intermediary between users and online content. Businesses, publishers, and website owners are expected to adapt their digital strategies as AI agents become more involved in searching, evaluating, and interacting with information across the web. The shift is already prompting discussions about visibility, content accessibility, and the future role of traditional search rankings.

The latest changes reinforce Google's growing focus on agent-based experiences, signaling a future in which AI systems play a central role in how information is found, monitored, and acted upon online. Analysts expect the technology to continue evolving as AI becomes more deeply integrated into everyday digital activities. The company's latest initiatives suggest that search is gradually moving from a destination-based model toward an action-oriented ecosystem driven by intelligent agents.