Google DeepMind has launched the Gemini 2.5 Computer Use Model, a breakthrough AI that can navigate websites and apps just like humans do. This model doesn’t just understand requests; it interacts directly with user interfaces by clicking, typing, scrolling, and filling out forms. This brings artificial intelligence much closer to real-world usability.
What Makes Gemini 2.5 Different?
Most AI models today communicate only through structured APIs, which limits their ability to perform tasks that need hands-on interaction with software. Gemini 2.5 changes the game by mimicking human actions on screens. It can fill out complex forms, navigate behind login pages, and even schedule appointments online with impressive speed and accuracy.
How Does It Work?
The model works through the Gemini API’s new computer_use tool. When it receives a task, it receives a screenshot of the screen, the user’s instructions, and a history of recent actions. It chooses the best next move, whether it’s clicking a button, typing in a field, or scrolling the page. After each action, it receives a new screenshot and URL, and this back-and-forth continues until the task is done or stopped. This enables the AI to act like a skilled digital assistant, smoothly navigating any content on the web.
Performance That Stands Out
Gemini 2.5 sets a new standard for browser automation in terms of speed and reliability. Early users have seen it complete tasks up to 50% faster and with an 18% higher success rate on even the most complex workflows. This is especially useful in situations where every detail matters, like extracting accurate data or handling multi-step digital processes without mistakes.
Safety Is a Priority
Google built Gemini 2.5 with safety in mind. The AI can be programmed to ask for confirmation before doing anything sensitive, like making a purchase or bypassing security checks. Developers have access to an external safety system that reviews every step the AI proposes. These measures help avoid mistakes or misuse, making the AI both powerful and responsible.
Real-World Use Cases
Google’s own teams are already using Gemini 2.5 for UI testing, which helps them catch software bugs faster and develop products more efficiently. It also powers personal assistant apps and advanced automation features in Google Search and Firebase testing tools. For many users, Gemini 2.5 saves hours or even days by quickly fixing problems that used to need manual intervention.
What’s Coming Next?
Right now, Gemini 2.5 works best with web browsers and is showing promise for mobile apps. It isn’t yet ready to control desktop operating systems fully, but this is a big step toward AI agents that handle more digital tasks on their own. Soon, AI could become an even more natural partner for anyone working with technology, helping get things done faster and smarter.