Google’s latest artificial intelligence platform, Gemini Intelligence, is generating significant buzz in the Android ecosystem. Unveiled during the recent Android Show, this advanced AI system promises to transform how users interact with their smartphones. However, there is a major caveat: not every high-end device will support it. In fact, some of the newest foldables from both Google and Samsung might be left out.
The Gemini Intelligence requirements are far more stringent than typical software updates. This is not a simple feature drop; it demands specific hardware and a long-term commitment to software updates. As a result, many current-generation phones could be incompatible, even those with flagship status.
Hardware Demands: More Than Just a Powerful Chip
To run Gemini Intelligence, a phone needs a top-tier chipset, at least 12GB of RAM, support for AI Core, and Gemini Nano v3 or newer. This immediately creates a problem for several devices launched in 2024 and early 2025. For example, the Pixel 9 series and the upcoming Samsung Galaxy Z Fold 7 reportedly still run Gemini Nano v2, which does not meet the criteria.
Beyond raw power, Google also requires devices to promise at least five Android OS upgrades and six years of security patches. Quality standards tied to system stability and crash rates add another layer of exclusivity. This means that even if a phone has the right processor, it might still fall short if the manufacturer cannot guarantee long-term support.
The RAM Requirement: A Glimpse into Google’s AI Strategy
One of the most striking aspects of the Gemini Intelligence requirements is the insistence on a minimum of 12GB of RAM. This is a bold move, especially considering leaks suggesting the base Pixel 11 might ship with only 8GB. If these AI requirements are accurate, those earlier rumors may not tell the full story. It would be inconsistent for Google to heavily market advanced on-device AI while simultaneously lowering memory capacity on its own flagship phones.
For more on how AI is reshaping mobile hardware, check out our guide on AI smartphone features.
Which Devices Are Likely to Qualify?
Looking ahead, the Pixel 10 series and the Oppo Find X9 lineup are expected to be designed with these AI requirements in mind from the start. These devices will likely feature the necessary hardware and software support to run Gemini Intelligence out of the box. Samsung’s upcoming foldables, such as the Galaxy Z Fold 7, may also be updated to meet the criteria, but that is not guaranteed.
Building on this, the feature list is expected to expand significantly across 2026 Android flagships. However, the situation remains slightly fluid. Google’s documentation specifically mentions support for Gemini Nano’s Prompt API rather than directly confirming whether older devices are permanently excluded. Therefore, there is still a possibility that some phones could gain compatibility later through future Android updates or backend upgrades.
Interested in how other brands are handling AI? Read our analysis on Samsung’s AI update strategy.
What This Means for Android Users
For consumers, these Gemini Intelligence requirements signal a shift in the smartphone market. On-device AI is no longer an optional extra; it is becoming a core feature that dictates hardware choices. If you are planning to buy a new Android phone in the next year, paying attention to the RAM and chipset will be more important than ever.
As a result, the gap between premium and mid-range devices may widen. Only phones with 12GB of RAM and the latest Gemini Nano version will unlock the full potential of Google’s AI. For now, Google says Gemini Intelligence will first arrive on Pixel and Samsung Galaxy devices later this year. Until then, the Android community will be watching closely to see which devices make the cut.
For a deeper dive into the technical side, explore our article on on-device AI explained.
