Key Facts

• Google announced Gemini Intelligence at the I/O edition of The Android Show, with rollout beginning summer 2025.
• Minimum requirements: 12GB RAM, flagship chip (likely Snapdragon 8 Gen 4 or equivalent), and support for AI Core and Gemini Nano v3 or higher.
• Phones that meet these criteria are mostly 2026 devices (e.g., Pixel 10, OPPO Find X9), while the Pixel 9 series, Galaxy Z Fold 7, and earlier pixels do not qualify.
• Examples of Gemini Intelligence features include Gboard's voice-to-text "Rambler," enhanced Chrome auto-fill, and Create My Widget.
• Developers can check device compatibility via Google's Gemini Nano v3 support list.

Earlier this week, Google aired the highly anticipated I/O edition of The Android Show, where it unveiled one of the biggest updates to the platform in years: Gemini Intelligence. This umbrella term encompasses Google’s most advanced AI features, such as a new voice-to-text tool called “Rambler” in Gboard, a more powerful Chrome auto-fill that handles complex forms, and the intelligent widget generator “Create My Widget.” The rollout is scheduled to begin this summer, but the excitement has been tempered by a harsh reality: only a tiny fraction of Android phones will be able to run these features.

According to footnotes on the official Gemini Intelligence landing page, the hardware requirements are steep. Devices must have at least 12GB of RAM, which immediately eliminates most older Pixel phones. For reference, the Pixel 6 and 7 base models ship with 8GB of RAM, while the Pixel 6 Pro and 7 Pro have 12GB. However, RAM is just one piece of the puzzle. Google also mandates that the phone support “AI Core” and Gemini Nano v3 or higher. Gemini Nano is Google's on-device large language model (LLM) that powers many AI features. The v3 iteration is significantly more demanding than its predecessors, requiring not only powerful CPUs but also a capable neural processing unit (NPU).

Android Authority contributor AssembleDebug pointed out that Google’s developer page lists the devices that currently support Nano v3. The list is surprisingly short and heavily skewed toward phones released in 2026. The Pixel 10 series and the OPPO Find X9 series are among the only confirmed devices. This means that even the premium Pixel 9 series—Google’s flagship from 2024—does not meet the criteria. Similarly, Samsung’s Galaxy Z Fold 7 and its rumored TriFold do not appear on the list, likely due to their chipsets not being validated for Nano v3.

Why such demanding requirements? Gemini Intelligence is designed to run complex AI tasks entirely on-device, ensuring privacy and low latency. Features like “Rambler” process continuous voice input and generate real-time text transcriptions, which taxes both RAM and processor resources. The enhanced Chrome auto-fill uses a local model to understand the context of forms beyond simple text fields, requiring larger model sizes. Create My Widget allows users to generate custom widgets with natural language descriptions, which again demands substantial compute power. All these tasks benefit from a larger RAM to keep the model hot and a high-performance NPU to handle inference quickly.

The implications for the Android ecosystem are significant. Google’s decision to set the bar so high means that the vast majority of Android users—even those with expensive flagships from 2023 and 2024—will not experience the next generation of AI features. This could create a two-tier system where only the newest, most expensive devices offer cutting-edge AI, potentially slowing adoption. It also puts pressure on chipset manufacturers like Qualcomm and MediaTek to ensure their upcoming processors (Snapdragon 8 Gen 4, Dimensity 9400) are fully compatible with Gemini Nano v3 from day one.

For users, the situation is frustrating. A Pixel 9 Pro owner might have spent over $1,000 on a phone that now misses out on features that are the main selling point of the next Android update. Samsung Galaxy Z Fold 7 users are in a similar boat. The only hope is that Google might downgrade some Gemini Intelligence features to work on less powerful hardware, or that future updates to Gemini Nano could expand compatibility. However, as of now, the requirements are clear: if you want the best AI on Android, you’ll need a phone from 2026 or later with at least 12GB of RAM and the latest chipset.

Developers also face challenges. They must now decide whether to target the minority of devices that support Nano v3 or fall back to simpler models. The AI Core API might help abstract some differences, but the RAM floor is a hard limit. Applications that rely on on-device AI will only run on a subset of devices, potentially limiting their user base.

In addition to the hardware requirements, there are software prerequisites. Devices must be running Android 16 or later, as Gemini Intelligence is tightly integrated with the next major OS release. This further restricts compatibility. Google is known for seeding Pixel-exclusive features first, but in this case, even Pixels are not fully equipped. The Pixel 10, due in 2026, will be the first Pixel to meet all criteria. This also suggests that Google’s own hardware may have been designed with these requirements in mind, leaving earlier models behind intentionally.

The market pressure will likely accelerate the inclusion of 12GB RAM as a baseline in flagship Android phones. In 2024, many Android flagships still ship with 8GB, especially in base models. By 2026, 16GB might become the new norm. Similarly, chipset makers will ensure their NPUs support Gemini Nano v3 to be part of Google’s ecosystem. This could lead to more fragmentation in the short term but eventually raise the bar for all Android devices.

Furthermore, the exclusion of foldables like the Galaxy Z Fold 7 is notable. Samsung’s foldables often have flagship chips, but they also need to manage thermal constraints in a compact body. Google’s requirements might be too aggressive for current foldable form factors. Only time will tell if future foldables can accommodate the needed hardware.

In summary, Gemini Intelligence represents a significant leap forward for on-device AI on Android, but its demanding requirements mean that most current and recent phones will be left out. The rollout starting summer 2025 will be limited to a handful of 2026 devices. This strategy aligns with Google’s push to showcase AI capabilities on the most advanced hardware, but it risks alienating a large portion of the user base. As the Android ecosystem evolves, we may see a natural progression where 12GB RAM becomes the new standard, and chipset makers optimize for Google’s AI requirements. Until then, only those willing to wait and invest in the latest hardware will gain access to Gemini Intelligence.

Source: Android Authority News