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Google's Gemini Intelligence Has a Serious Problem: Most Phones Won't Get It

Google just announced Gemini Intelligence, a major upgrade that brings proactive AI capabilities to Android phones, but there's a catch: most devices won't qualify. The feature requires specific hardware specifications including 12GB of RAM or more, the latest flagship processors, and Gemini Nano v3 or greater. Google confirmed that only the Galaxy S26 and Pixel 10 series will get Gemini Intelligence this summer, leaving owners of newer phones like the Pixel 9 series and Galaxy Z Fold 7 without access.

Which Phones Actually Qualify for Gemini Intelligence?

Google has published technical requirements for Gemini Intelligence that reveal a surprisingly narrow list of compatible devices. The company requires devices to meet multiple criteria simultaneously, creating what amounts to an exclusive club of the most powerful Android phones.

  • RAM Requirement: Devices must have at least 12GB of RAM, eliminating mid-range phones that typically come with 8GB or less
  • Processor Requirement: Only phones with qualified flagship system-on-chip processors qualify, meaning older flagship chips are excluded
  • Software Support: Devices must run Android with at least five years of updates, advanced virtualization features, and six years of security patches
  • Performance Standards: Phones must meet specific crash rate and performance benchmarks established by Google for 2026 and enforced more strictly in 2027
  • Gemini Nano Version: Devices need Gemini Nano v3 or greater, the latest version of Google's on-device AI model

Based on Google's developer documentation for Nano v2 and v3 support, the company has already identified which devices can run these AI models. Surprisingly, many recent flagship phones appear on the Nano v2 list, suggesting they may not qualify for Gemini Intelligence despite their premium positioning.

Why Are Recent Flagships Being Left Behind?

The exclusion of phones like the Pixel 9 series and Galaxy Z Fold 7 raises questions about Google's strategy. These devices launched within the past year and cost $1,000 or more, yet they apparently lack the necessary hardware specifications for Gemini Intelligence. The situation echoes the early days of 4G LTE networks, when phones with the earliest compatible chips were quickly rendered obsolete by newer standards.

"We see an opportunity to rethink laptops again," said Alex Kuscher, Google's senior director for laptops and tablets, describing how the company is shifting its focus toward AI-powered devices.

Alex Kuscher, Senior Director for Laptops and Tablets at Google

Google hasn't publicly explained why devices like the Pixel 9 series don't meet Gemini Intelligence requirements, despite their powerful processors and ample RAM. The company has only confirmed that the Galaxy S26 and Pixel 10 series will receive the feature this summer, leaving a significant gap in the product lineup.

How to Check If Your Phone Will Get Gemini Intelligence

If you own an Android phone and want to know whether it will eventually support Gemini Intelligence, you can evaluate your device against Google's published requirements:

  • Check Your RAM: Go to Settings and look for device information or memory details; you need at least 12GB to qualify
  • Identify Your Processor: Search your phone model plus "processor" or "chipset" online; Google only supports the latest flagship chips from Qualcomm, MediaTek, and Samsung
  • Verify Software Support: Check whether your phone manufacturer has committed to at least five years of major Android updates and six years of security patches
  • Monitor Official Announcements: Google will publish a complete list of eligible devices at a future date, so check the official Gemini Intelligence page regularly for updates

Google hasn't officially confirmed which devices beyond the Pixel 10 and Galaxy S26 series will get Gemini Intelligence, so current owners of other flagships are essentially waiting for clarification.

What Does This Mean for the Future of Android AI?

The restrictive requirements for Gemini Intelligence signal that Google is betting heavily on AI as a premium feature that justifies buying the latest flagship phones. This strategy mirrors Microsoft's approach with Copilot AI in Windows, where advanced features are reserved for newer devices. However, it also creates a potential market gap for users who want AI capabilities without upgrading to the absolute latest hardware.

Google's broader shift toward AI-first computing is evident across its product line. The company is moving away from its original vision of lightweight, web-centric operating systems and toward what executives describe as "intelligence systems." This transformation extends beyond phones to laptops, where Google is developing Googlebooks, an Android-based alternative to ChromeOS that emphasizes Gemini AI integration.

For now, the vast majority of Android users will have to wait to experience Gemini Intelligence, and many may never get access if their devices don't meet Google's stringent hardware requirements. The company's decision to limit the feature to the newest flagship devices suggests that AI capabilities will remain a luxury feature for early adopters, at least for the foreseeable future.