Gemini Intelligence is shaping up to be one of Google’s most ambitious moves in mobile AI yet — but if you’re hoping to try it, your phone may not make the cut. Google has set the bar surprisingly high, and for now only a small group of elite Android flagships will be invited to the party.

The announcement landed just days ago, and it’s clear this is far more than a simple rebranding exercise. Gemini Intelligence is a genuinely capable suite of features, and the hardware demands behind it reveal just how heavy the underlying technology really is.

What Gemini Intelligence Actually Does

At its core, Gemini Intelligence is built around automation that goes well beyond answering questions. Google says it can handle multi-step tasks and carry them out entirely on its own in the background.

In practice, that means the assistant can:

• Source and transform information without constant input from you
• Interact with apps and websites autonomously on your behalf
• Chain together complex actions and complete them while you do something else

There’s also a notable addition coming to Gboard called “Rambler.” This component is designed to let you speak naturally — filler words, crutch words, hesitations and all — and even mix multiple languages within a single sentence. It’s the kind of feature that sounds almost too loose to work well, which is exactly why the demos are worth watching.

Taken together, these tools point toward a more genuinely agentic assistant, one that acts rather than just responds.

Which Phones Will Get It First

Here’s the catch: Gemini Intelligence won’t be landing on just any Android device.

Based on what’s known so far, the feature is expected to debut on Samsung’s upcoming foldables — the Galaxy Z Fold8 and Z Flip8. Google has also confirmed that the Galaxy S26 series and the Pixel 10 series will receive it sometime “this summer.”

That’s a short list, and a deliberately premium one. Gemini Intelligence is positioned, at least initially, as an exclusive experience reserved for the highest tier of Android hardware.

The Demanding Hardware Requirements

A footnote on the official android.com site spells out just how steep the entry requirements are — and they explain why the launch lineup is so narrow.

For starters, a device needs at least 12GB of RAM. That alone suggests the AI models powering Gemini Intelligence are fairly demanding to run directly on a phone. The device also has to support AICore, the Android system service that gives apps an API for running AI tasks on top of an on-device Gemini Nano model. Crucially, Gemini Intelligence specifically requires Gemini Nano v3 or newer, and only a handful of phones currently support that version.

Beyond memory and AI frameworks, the list of requirements gets even more specific:

• A qualifying flagship-class system-on-chip
• Passing a quality test suite at launch on A17 or newer
• Meeting in-field quality benchmarks, such as low crash rates
• A commitment to five OS upgrades and six years of quarterly security updates
• Support for the Android Virtualization Framework (AVF) and pKVM (Protected Kernel-based Virtual Machine)
• Meeting current media performance standards, including spatial audio, low-light and HDR capability, plus annual gaming driver updates

It’s a long checklist, and each item further shrinks the pool of eligible devices. The result is a very exclusive club — one that effectively rules out anything but recent, top-tier hardware.

A Confusing Outlook for Future Phones

What makes the situation especially murky is how these requirements might affect Google’s own upcoming devices.

A recent specs leak for the Pixel 11 family suggested that the non-Pro models could ship with as little as 8GB of RAM. If accurate, that would put those phones below the stated 12GB threshold — meaning Google’s own standard Pixel 11 might not qualify for Gemini Intelligence.

That outcome seems hard to believe. It would be an awkward look for Google to launch a flagship-adjacent phone that can’t run the company’s headline AI feature. For now, though, there’s no clear answer, and the apparent contradiction leaves plenty of room for speculation.

The Bottom Line

Gemini Intelligence looks genuinely impressive — a step toward an assistant that can think through tasks and act on them independently rather than waiting for instructions. But that capability comes at a cost, and right now that cost is hardware.

With a 12GB RAM floor, a requirement for Gemini Nano v3, and a long list of additional flagship-grade specifications, the feature will start life as a privilege of the few. Whether Google eventually loosens these requirements — or whether powerful on-device AI simply demands this kind of hardware — will shape how widely Gemini Intelligence can spread.

For most Android users, the realistic takeaway is this: powerful, agentic AI is coming, but for the moment it lives firmly at the premium end of the market.