Google Unveils Gemini 2.5 AI Agent for Real-World Computer Use
Google DeepMind has introduced Gemini 2.5 Computer Use — an AI model built to interact directly with mobile and web interfaces, executing tasks with unprecedented precision and autonomy.
AI that actually “uses” your computer
Unlike previous Gemini releases focused on reasoning and dialogue, Gemini 2.5 Computer Use is designed to control real operating environments. The agent can fill out online forms, perform website actions, organize emails, add contacts to client platforms, and even handle structured workflows inside browsers.Google engineers describe it as a “practical agent” — an AI capable of observing what’s on the screen, reasoning about next steps, and acting accordingly. In early benchmarks, the model demonstrated up to 10% higher success rates than Anthropic’s Claude Sonnet 4.5 when solving complex visual and interactive tasks, including CAPTCHA-style challenges.
Performance and architecture
Gemini 2.5 Computer Use operates through a multimodal transformer stack that integrates text, vision, and action layers. Its perception engine processes GUI elements, icons, and buttons, while a reasoning module decides the best sequence of interactions. The agent can adapt dynamically to changing layouts — a major leap toward general-purpose computer automation.While privacy and safety measures remain a priority, Google confirmed that actions executed by Gemini agents are sandboxed and auditable. The company also emphasized strict data-handling rules to prevent misuse in sensitive applications.
Access for developers and users
A free public demo is available at Gemini Browserbase, allowing users to watch the model perform live interface actions. For developers, the model is accessible through the Google AI Studio and Vertex AI API platforms. These integrations will allow enterprises to embed Gemini 2.5 agents into custom productivity, automation, or customer-support workflows.The bigger picture
The Computer Use edition of Gemini 2.5 represents Google’s clearest step yet toward embodied AI — systems that not only understand instructions but also act directly within software environments. It’s a move that blurs the line between language models and digital workers, positioning Gemini as a direct competitor to OpenAI’s upcoming Agent Builder ecosystem.Editorial Team — CoinBotLab