Only a handful of devices will actually qualify for this.
Google has unveiled Gemini Intelligence, an AI system capable of autonomously chaining multi-step tasks across apps and services — a meaningful advance in what a phone can do on your behalf. Yet the technology arrives not as a gift to the many, but as a privilege for the few: only flagship devices with 12GB of RAM, specific processors, and a constellation of technical certifications will qualify at launch. In this, Google's announcement quietly poses an older question in a newer form — whether the most transformative tools of an era will be shaped first by what is possible, or by what is profitable.
- Gemini Intelligence can autonomously chain tasks across apps, pull information, and act on your behalf — a genuine leap beyond anything Android has offered before.
- The hardware bar is steep: 12GB RAM, Gemini Nano v3, AICore support, flagship processors, and a long list of additional certifications that most devices simply cannot clear.
- Only Samsung's upcoming foldables, the Galaxy S26 series, and the Pixel 10 lineup are confirmed for launch — leaving the vast majority of Android users on the outside looking in.
- Even Google's own Pixel 11 non-Pro models may ship with just 8GB of RAM, potentially disqualifying them from a feature Google is calling central to its AI strategy.
- Google has offered no timeline for broader rollout, leaving unanswered whether mid-range devices will ever access these capabilities or whether the divide is here to stay.
Google's Gemini Intelligence is not an incremental update — it is a system that can autonomously chain together multiple steps, gather information from disparate sources, and act across apps and websites without user intervention. A companion feature called Rambler, coming to Gboard, allows natural speech with filler words and mid-sentence language switching, handled seamlessly. The ambition is real.
The access, however, is narrow. Gemini Intelligence will debut on Samsung's Galaxy Z Fold8 and Z Flip8, followed by the Galaxy S26 series and Pixel 10 lineup later in the summer. Google has framed this as a premium offering, and the hardware requirements make clear why: devices must carry at least 12GB of RAM, support AICore, and run Gemini Nano v3 or newer — a bar only a handful of current phones can clear.
Beyond raw specs, Google has added layers of qualification that feel deliberate rather than purely technical: flagship-tier processors, low crash rates, five major OS upgrades, six years of security patches, support for Android Virtualization Framework and pKVM, and even standards around spatial audio, low-light photography, and GPU driver updates.
The sharpest irony may be Google's own. Leaked specifications suggest the Pixel 11 non-Pro could ship with just 8GB of RAM — which would disqualify it from Gemini Intelligence entirely. Whether this exclusivity reflects the genuine demands of maturing technology or a deliberate strategy to anchor premium value at the top of the market, Google has not said. That silence may be the most revealing detail of all.
Google has just unveiled Gemini Intelligence, and it's not simply a fresh coat of paint on existing technology. The system represents a genuine leap in what on-device AI can do: it can chain together multiple steps on its own, pulling information from various sources, transforming it, and then acting across apps and websites without you having to lift a finger. There's even a new component coming to Gboard called Rambler that lets you speak naturally, filler words and all, and switch between languages mid-sentence without the system getting confused. It's genuinely ambitious stuff.
But here's the catch. Google isn't rolling this out to the Android masses. The company has confirmed that Gemini Intelligence will debut on Samsung's upcoming Galaxy Z Fold8 and Z Flip8 foldables, with the Galaxy S26 series and Pixel 10 lineup arriving later this summer. That's it, for now. The feature is being positioned as something rare and premium, at least in these early days.
The hardware gatekeeping is substantial. According to Google's official documentation, any device wanting to run Gemini Intelligence needs at least 12 gigabytes of RAM—a threshold that tells you something about the computational weight of these AI models running locally on the phone. The device must also support AICore, an Android system service that provides the underlying infrastructure for on-device AI tasks. More specifically, Gemini Intelligence requires Gemini Nano v3 or newer, and only a handful of current devices even meet that bar.
Beyond the technical necessities, Google has layered on additional requirements that feel more arbitrary. The phone needs to use a flagship-tier processor, pass Google's quality assurance tests at launch, and maintain low crash rates in the field. It must also commit to five major operating system upgrades and six years of quarterly security patches. The device needs to support both Android Virtualization Framework and pKVM, a protected kernel-based virtual machine technology. There's even a vague requirement around media performance—spatial audio, low-light photography, HDR video—and gaming capabilities including annual GPU driver updates.
The exclusivity is striking. Recent leaks suggest that Google's own Pixel 11 non-Pro models might ship with just 8 gigabytes of RAM, which would disqualify them from Gemini Intelligence entirely. That creates an odd situation where even Google's own mid-range phones could miss out on what the company is positioning as a defining feature of its AI strategy. It raises a question that Google hasn't yet answered: is this a temporary constraint while the technology matures, or a permanent dividing line between premium and standard Android devices? The company's silence on that point is telling.
Citações Notáveis
The feature will probably be making its debut on Samsung's upcoming Galaxy Z Fold8 and Z Flip8 devices, with Galaxy S26 and Pixel 10 series arriving this summer— Google (official announcement)
A Conversa do Hearth Outra perspectiva sobre a história
So Gemini Intelligence can actually do things on its own, without you asking it to do each step?
Right. It can see that you need information from three different places, grab it, reorganize it, and then push it into the right app. All while you're doing something else.
That sounds computationally heavy. Is that why the RAM requirement is so high?
Almost certainly. Twelve gigabytes is a lot to ask just for AI features. It suggests the model running on-device is substantial, and Google doesn't want it choking on slower hardware.
But Google makes Pixel phones at multiple price points. Won't that create friction if cheaper Pixels can't use it?
That's the tension nobody's talking about yet. If the Pixel 11 base model has 8GB of RAM, it's locked out. That's a hard sell when you're trying to convince people your AI is the future.
Is this temporary, or is Google drawing a permanent line between premium and everyone else?
Google hasn't said. But the way they've written these requirements—the security patches, the processor tier, all of it—it feels less like a temporary constraint and more like they're defining what a "real" flagship is.