Lenovo introduces Qira AI assistant for its laptops and Motorola smartphones
At CES 2026, Lenovo introduced Lenovo Qira and Motorola Qira, AI assistants that run on their respective laptops and smartphones, and can act on the user’s behalf.
At CES 2026, Lenovo introduced Lenovo Qira and Motorola Qira, AI assistants that run on their respective laptops and smartphones, and can act on the user’s behalf.
The company says that Qira represents a shift from application-based AI to system-level intelligence that is responsive to the environment, takes into account context, and is available across devices without the need to open, switch, or actively launch a separate app.
«We wanted a built-in, cross-device intelligence system that would work with you throughout your day, learn from your interactions, and act on your behalf,» Jeff Snow, head of Lenovo’s AI division, told The Verge.
Qira can proactively provide suggestions, respond instantly to a call, or quietly stay in the background until needed, adapting to how and when each user prefers to interact. It can be invoked naturally by saying «Hey Qira» or by pressing a dedicated key.
Lenovo Qira can act on behalf of the user, leveraging device capabilities and local AI, including in offline mode, to complete tasks. AI coordinates actions across applications and devices and manages agents without user supervision.
«Qira creates a unified knowledge base that combines user-selected interactions, memories, and documents across devices, while maintaining user privacy and consent. Through cross-device and perceptual analysis, it develops a living model of the user’s world, understanding context, continuity, and personal patterns over time,» Lenovo says.
The AI assistant can support meetings and conversations, providing real-time transcriptions and translations when enabled, capturing key moments and creating summaries. Qira also has the ability to generate and modify images.
Lenovo AI is not built around a single flagship AI model, but rather has a modular structure. It combines local models on the device with cloud-based models anchored on Microsoft and OpenAI infrastructure, accessed through Azure. It also integrates the Stability AI model and Notion and Perplexity applications.
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