Google continues to expand its suite of generative AI-powered features, making it part of everyday services. Users receive tools that help them formulate ideas, write texts, analyze data, and find answers faster—without having to manually sift through dozens of tabs. The Gemini model is at the core of the ecosystem. It is used as the "brain" for dialogues and tasks that require generating text, explanations, action plans, or document drafts based on a user's query. Gemini is gradually becoming more integrated into various Google products. Where Generative AI Is Most Powerful In Google Search, generative AI helps generate more coherent answers: it can summarize different sources, offer context, and suggest next steps. This is aimed at helping users move more quickly from a query to an understanding of the question. In the Google Workspace ecosystem, generative AI is aimed at speeding up office tasks. Typical features include assistance with email drafts, structuring notes, preparing presentation materials, and generating drafts for documents. Additionally, scenarios for creative and applied tasks are being developed: from generating content ideas to preparing educational materials and "quick instructions" on complex topics. The user formulates a request, and the system helps transform it into a clear plan or draft. How does this affect work and productivity? The practical benefit most frequently noted by users is the reduction in "start-up time." Instead of building a text structure or a workflow from scratch, you can create a rough outline and then quickly refine the result to your needs. It's important to view generative AI as an acceleration tool, not as an automatic "truth." It's recommended to fact-check, especially when dealing with figures, legal language, and highly technical details, and to refine the style and tone if the document is intended for an external audience. Google's strategy is focused on tighter integration: AI should work not as a separate application, but within the tasks the user is already doing—in documents, presentations, email, and search scenarios. In upcoming releases, we expect further feature expansion and improved response quality through contextual suggestions and more precise customization for specific scenarios. For users, this means more opportunities to receive ready-made drafts and explanations, and for teams, it means less tedious work in preparing materials and communications.