USA: Google integrates Gemini in Chrome and expands browser capabilities

Google has announced the implementation of the Gemini model in the desktop version of Chrome for users in the United States in English. At the start, Windows and macOS are supported, then integration will appear in the mobile app for iOS, and corporate access will be expanded through the Workspace ecosystem. At the same time, the company deepens the Gemini bundle in Chrome with its own services — calendar, mapping, and video platform — which moves the browser from the status of a search interface to the role of a personal assistant that can collect context from multiple sources and speed up the execution of work scenarios.

Architecturally, integration solves two classes of problems. First, it increases productivity: the model is able to summarize previously visited pages, summarize content from different sites, suggest steps to complete a complex query, and return the user to relevant sources. Secondly, a database is created for "agent-based" scenarios, where AI consistently performs multi-step tasks: from selecting materials and drawing up plans to auto-completing work artifacts based on corporate data. For businesses, this means reallocating the load from individual applications to the browser layer and speeding up routine work-from preparing briefings to primary analytical outputs.

The launch outline is limited to the US market and the English interface, which reflects the expected scaling model: run-in to a mass audience, then expand the languages and countries. In the corporate segment, the key issue is data access policy. Combining calendars, maps, and video services increases the value of the response, but requires explicit rules for delimiting sources, logging AI actions, and managing perimeters for confidential information. Organizations will need a custom consent policy, control of stored prompts, and a "clean" work profile mechanism for tasks where data contamination is unacceptable.

The current background is the recent antitrust proceedings in the United States, which resulted in companies maintaining the integrity of key assets while strengthening data exchange obligations with competitors. In this configuration, Chrome with Gemini becomes not only a user product, but also a point of competition at the network access interface level. Strengthening the "agent" layer in the browser changes the traffic economy: the more tasks are solved inside the Chrome window, the greater the pressure on traditional search funnels, ads, and classic results pages. For advertisers and marketing, this is a signal to prepare content for consumption by AI models — to structure data, maintain markup, keep synchronous feeds and short versions of materials.

For technology teams and digital product owners in Uzbekistan, practical actions include auditing content for machine readability, implementing a policy on using AI assistants in the browser, testing "in-house search" scenarios through secure profiles, and revising the UX for responses that users will now receive directly in Chrome. Gemini integration increases the threshold of expectations for speed and completeness of the response; those who quickly adapt data and processes to the new "agent" layer will win.

The functionality will expand as multi-step skills are introduced. This will increase competition in the browser and office platform markets, where the speed of deployment of agent-based scenarios and the quality of data management will be key factors in choosing corporate clients.