Gemini Intelligence Requirements Set a High Bar, Leaving Many Android Phones Behind

Gemini Intelligence requirements have quickly become one of the most talked-about details from Google’s latest announcements, and not entirely for positive reasons. While Google is preparing to bring its most advanced AI experience to Android devices this summer, the steep hardware demands mean the vast majority of phones simply won’t qualify. Even some recent flagship models will be left out, sparking disappointment among many Android users.

A Big Announcement at Google I/O

Earlier this week, Google aired the highly anticipated I/O edition of The Android Show. The company promised that this would be one of the most significant years in the platform’s history, and it backed that claim with the unveiling of Gemini Intelligence.

The rollout to Android phones is scheduled to begin this summer. However, the excitement around the announcement has been tempered by one major catch: only the most powerful and premium devices will actually be able to run it.

What Is Gemini Intelligence?

Before diving into the requirements, it helps to understand exactly what Gemini Intelligence is. Rather than being a single feature, it serves as an umbrella term for Google’s most advanced suite of AI capabilities on Android.

Some examples of what Gemini Intelligence includes are:

• A new Gboard voice-to-text feature called “Rambler”
• An upgraded version of Chrome auto-fill capable of handling more complex forms
• Create My Widget, a tool for generating custom widgets

In short, Gemini Intelligence represents Google’s vision for a smarter, more capable Android experience powered by on-device artificial intelligence.

The Demanding Hardware Requirements

Here is where the disappointment begins. According to the footnotes on the official Gemini Intelligence landing page, the feature set is designed exclusively for the most premium Android phones available.

The key requirements include:

• At least 12GB of RAM
• A flagship-grade processor
• Support for AI Core
• Compatibility with Gemini Nano v3 or higher

Each of these requirements alone is significant, but together they form a barrier that most Android devices currently cannot clear.

Why the RAM Requirement Matters

The 12GB RAM requirement is particularly impactful. This single condition immediately rules out a large portion of older devices, including most earlier Pixel phones.

In fact, among Pixel devices, only a select few meet the memory threshold: the Pixel 7 Pro, Pixel 8 Pro, Pixel 9 series, and Pixel 10 series. Many mid-range and budget phones, which often ship with 8GB of RAM or less, are excluded entirely.

The Gemini Nano v3 Hurdle

Even meeting the RAM requirement is not enough. Devices must also support AI Core and Gemini Nano v3 or higher. This is where the eligibility list becomes even more restrictive.

According to information highlighted by Android Authority contributor AssembleDebug, Google maintains a list on its developer page of devices that currently support Nano v3. The findings reveal an important pattern: most devices with Nano v3 support were released in 2026.

There are a few notable exceptions. The Pixel 10 series and the OPPO Find X9 series stand out as devices that support the newer technology despite the broader trend.

Which Phones Miss Out

The combination of these requirements leads to a surprising and somewhat frustrating outcome. Several relatively recent and well-regarded devices will not receive Gemini Intelligence.

Phones expected to miss out include:

• The Pixel 7 Pro
• The Pixel 8 Pro
• The entire Pixel 9 series
• Samsung’s Galaxy Z Fold 7
• Samsung’s TriFold device

For many users, the exclusion of the Pixel 9 series is especially jarring. As a flagship lineup, it might reasonably be expected to support Google’s latest AI features, yet it falls short due to the Nano v3 requirement.

Why Google Set the Bar So High

While the strict requirements are disappointing for many, there is logic behind them. Advanced on-device AI features demand substantial processing power and memory to run smoothly and efficiently. Running sophisticated models locally, rather than relying entirely on the cloud, requires capable hardware.

By limiting Gemini Intelligence to devices with flagship chips, 12GB of RAM, and Nano v3 support, Google is likely aiming to ensure a consistent and reliable experience. Underpowered devices could struggle with performance, battery drain, or inconsistent results.

What This Means for Android Users

For consumers, the takeaway is clear. If access to Gemini Intelligence is a priority, an older or mid-range phone simply won’t be enough. Users hoping to experience these AI features may need to upgrade to a 2026-era flagship device that meets all the criteria.

This also signals a broader shift in the Android ecosystem. As AI becomes central to the smartphone experience, hardware requirements are likely to rise, and the gap between premium and budget devices may continue to widen.

Final Thoughts

Gemini Intelligence represents an exciting leap forward for Android, but its strict requirements mean the experience will remain out of reach for most users, at least for now. With even capable devices like the Pixel 9 series and Galaxy Z Fold 7 missing out, many Android owners may feel left behind.

As the rollout begins this summer, all eyes will be on how Google manages this transition, and whether future updates or optimizations might eventually bring Gemini Intelligence to a wider range of devices. For now, though, this is a feature reserved firmly for the cutting edge of Android hardware.