At a time when AI large models are fiercely competing for high-end flagship devices, Google has shifted its focus to the broader entry-level market. On June 3, Google officially announced the introduction of a new Gemini Go AI assistant for the Android Go system. This means that users can experience the power of generative AI on low-end devices as long as their phone has more than 2GB of RAM.

As a lightweight operating system designed specifically for entry-level devices, Android Go enables phones with limited storage and memory to run smoothly. The newly launched Gemini Go is a "streamlined" version of a large model tailored for this scenario. It can run smoothly within limited storage space, fully replacing the previous Google Assistant Go, becoming the default intelligent assistant on Android Go devices. Users don't need to download a separate application; they can simply press and hold the Home key or the power key to activate this AI assistant at any time.

In terms of functionality, although Gemini Go has been optimized for lightweight performance, it still retains strong daily practicality. It supports tasks such as making calls, sending messages, checking maps and driving times, searching for nearby restaurants, setting alarms, creating calendar events, and playing multimedia content. More notably, Gemini Go supports uploading documents and photos, allowing it to gain more contextual information from these files, thus providing a more natural and demand-focused conversation experience compared to traditional voice assistants.

Currently, Gemini Go is being rolled out in stages to eligible devices. Considering Google's usually cautious update strategy, even if a device meets the hardware requirement of 2GB of RAM, users may still have to wait several weeks before receiving the update. However, this move marks that Google is accelerating the replacement of AI assistants, bringing a natural and smooth conversational AI experience to billions of entry-level mobile phone users worldwide, further solidifying its foundation in the mobile ecosystem.