What Gemini Intelligence Actually Is
Gemini Intelligence is Google’s umbrella term for its most advanced on-device AI smartphone features. It goes beyond a simple chatbot, working as a system-level assistant that can automate tasks across apps and even inside Chrome. Instead of just answering questions, it can manage entire workflows: filling complex online forms, powering Gboard’s new Rambler voice-to-text, and creating custom widgets automatically. On Samsung’s side, Gemini Intelligence is expected to be deeply integrated into One UI 9, turning it into a true agentic AI. Imagine keeping a grocery list in Samsung Notes and asking Gemini to handle shopping. Rather than you manually opening a browser or shopping app, searching each item, and building the cart, Gemini could interpret your list, open the appropriate app, and populate your cart in the background. This kind of automation is why Google treats Gemini Intelligence as a major evolution of Android assistance, not just another AI gimmick.
Gemini Intelligence Requirements Explained
The strict Gemini Intelligence requirements are the main reason most Android phones won’t get these AI features. Google states that devices must have at least 12GB of RAM, immediately excluding a huge portion of mid-range and older flagship phones. On top of that, a “flagship chip” is required, meaning only top-tier processors with strong AI and machine learning capabilities qualify. Devices also need support for AI Core and Gemini Nano v3 or higher, Google’s latest on-device AI runtime. According to developer documentation referenced in the source materials, most phones with Nano v3 support were released in 2026, with a few exceptions such as the Pixel 10 and OPPO Find X9 series. This combination of memory, processor, and AI runtime effectively limits Gemini Intelligence to a small club of cutting-edge phones, leaving out models that only recently counted as high end.
Which Phones Qualify—and Which Miss Out
Because of the demanding Gemini Intelligence requirements, many well-known devices won’t make the cut. Even though some Pixel phones have 12GB of RAM, only those that also support AI Core and Gemini Nano v3 are eligible. The source materials indicate that the Pixel 7 Pro, Pixel 8 Pro, and the entire Pixel 9 series miss out despite their strong hardware. Similarly, Samsung’s Galaxy Z Fold 7 and TriFold are not on the current Nano v3 list, so they will not receive Gemini Intelligence. By contrast, phones like the Pixel 10 series and OPPO Find X9 series are explicitly mentioned as supporting Nano v3, putting them in the eligible category. Most of the other supported devices launched in 2026, highlighting how new your phone typically needs to be. In short, if your device is more than a generation or two old or lacks 12GB of RAM, it is almost certainly excluded from Gemini Intelligence.
Why Samsung’s Next Foldables Are the Launchpad
Reports suggest that Samsung’s upcoming Galaxy Z Fold 8 and Galaxy Z Flip 8 will debut Gemini Intelligence as part of One UI 9, built on Android 17. This aligns with Google’s earlier statement that Gemini Intelligence would arrive first on Galaxy S26 and Pixel 10 devices, though the new report claims the foldables will actually get it before those models. Historically, Google has often used new Samsung launches as the first wave for fresh Android features, then rolled them out to Pixels and other brands later. Foldables are a natural showcase for agentic AI. The Galaxy Z Fold line is already designed for multitasking, but many users feel the software still lacks a defining “killer feature.” Gemini Intelligence could fill that gap by managing multiple apps side by side, summarizing content, moving information between windows, and executing complex tasks without constant user input. The larger screens give the AI more room to display parallel workflows, making its automation more tangible and useful.
Do You Need a New Phone for AI Features?
Deciding whether to upgrade for Gemini Intelligence comes down to how much you value advanced AI smartphone features. Agentic AI tasks, such as automatically filling a shopping cart from your notes or handling multi-step forms, rely on high memory capacity, powerful processors, and modern on-device AI runtimes. If your phone doesn’t meet the 12GB RAM threshold or lacks support for AI Core and Gemini Nano v3, it won’t receive the full Gemini Intelligence experience. That doesn’t mean your device will be useless for AI; many phones will still get lighter cloud-based or app-specific features. However, if you want the deep, system-level automation Google showcased, you’ll likely need a recent flagship that explicitly supports Nano v3. For many people, the practical move is to wait until their next natural upgrade cycle and then choose a model confirmed to meet Gemini Intelligence requirements, rather than rushing into a replacement purely for early access to these tools.