Google unveils Googlebook laptops built around Gemini AI
Google introduced Googlebook laptops centered on Gemini AI with Magic Pointer, Android phone integration and custom desktop widgets; models from Acer, ASUS, Dell, HP and Lenovo arrive this fall.
Google announced Googlebook, a new category of laptops built around its Gemini Intelligence model. The company said the devices combine Android apps with ChromeOS’s browser foundation to focus on AI assistance, phone connectivity and higher-end hardware. The first Googlebook models from Acer, ASUS, Dell, HP and Lenovo are scheduled to ship this fall.
A key feature is Magic Pointer, a cursor-based AI tool developed with Google DeepMind. When users hover the cursor over items on screen, the tool provides contextual Gemini suggestions. Google outlined examples such as converting a date in an email into a calendar event and combining two images to preview how an object could look in a room.
Googlebook includes Create your Widget, which prompts Gemini to build custom desktop widgets. These widgets can connect to apps like Gmail and Calendar to surface travel information, reservations, countdowns and other task-specific dashboards on the desktop.
The laptops are designed for tighter integration with Android phones. Users will be able to open phone apps from the laptop and use Quick Access inside the Googlebook file browser to view, search and insert files stored on their phone without manual transfers.
Hardware partners will offer Googlebooks in several sizes and designs, including a distinct glowbar element on some models. Google positioned the line as a premium category rather than a simple Chromebook refresh and described the launch as its biggest rethink of the laptop since the Chromebook.
The announcement places Google in the market for AI-powered personal computers alongside offerings from other vendors that have added system-level generative AI features. Google’s approach centers on making Gemini the primary interface layer on the laptop, integrating generative AI across system features rather than limiting it to standalone chat tools.




