The AI generation is making Google’s 7-year Pixel promise more difficult to agree with

The way forward for Android is right here, and it seems so much like Gemini Intelligence. However, as with maximum paradigm shifts, there’s a catch: the looming {hardware} necessities are already leaving numerous telephones at the back of. Beginning with at least 12GB of RAM, many reasonably priced units merely received’t make the reduce — together with Google’s personal budget-friendly Pixel 10a.

The larger factor, despite the fact that, is Google’s on-device AI stack. Gemini Intelligence depends on the tiny however mighty Nano v3 on-device type. In step with Google’s ML Equipment toughen documentation, the Pixel 10 is these days the one Google-branded sequence that helps it. The Pixel 9 lineup — and apparently the whole lot older — is caught on Nano v2.

I put in the AICore developer preview on closing 12 months’s flagship to verify it myself. Even builders can’t get right of entry to Nano v3 or the approaching Nano v4 on slightly two-year-old {hardware}, which implies toughen isn’t coming anytime quickly. And it’s no longer simply Pixels: many telephones introduced in 2025 or even some in early 2026, together with the Xiaomi 17 Extremely, additionally seem restricted to older on-device fashions — no less than for now.

That doesn’t essentially imply the Pixel 9 sequence and different fresh flagships won’t ever toughen Nano v3. Those fashions can theoretically be upgraded by way of over-the-air and/or AICore updates, and Google would possibly backport Gemini Intelligence someday (it hasn’t commented both manner). The issue is that customers don’t have any keep watch over over that procedure, and Google hasn’t clarified what {hardware} or tool necessities stand in the way in which. We don’t know whether or not the limitations are technical, industrial, or just a question of OEM effort.

What this does support is one thing Android customers are more and more working into: long-term replace guarantees don’t ensure get right of entry to to each new characteristic.

AI options exist in a particularly grey house. Google could also be positioning Gemini as central to the newest Pixel revel in, however technically, those options take a seat out of doors core Android. Gemini is successfully a bolt-on layer impulsively augmenting the OS, no longer one thing bundled into AOSP itself. That difference issues as it provides Google — and its {hardware} companions — way more flexibility in deciding which units obtain what, and lets in for sooner innovation than baking the whole lot into the core.

Nonetheless, that doesn’t let Pixels off the hook.

Google has spent the simpler a part of two years promoting Gemini as the way forward for Pixel. Leaving units at the back of after a unmarried era is a horrible glance, particularly when patrons had been promised seven years of toughen. If anything else, Google must need its very best AI stories to be had throughout as many Pixel generations as conceivable to give a boost to the logo’s management place. In a different way, it dangers making “seven years of updates” sound more and more conditional.

Possibly it does. I’d love to imagine there’s a sound technical reason why at the back of all this. Google says the Tensor G5’s third-generation TPU is 60% sooner than its predecessor, and that would actually topic for Gemini Intelligence. The corporate’s subsequent wave of AI options seems closely thinking about real-time contextual consciousness and fast on-device inference — workloads the place latency issues simply up to uncooked capacity.

The frenzy towards on-device AI used to be at all times going to reignite the cell {hardware} hands race. “Agentic” AI programs and context-aware assistants call for greater fashions, extra RAM, upper reminiscence bandwidth, and considerably sooner matrix-processing efficiency. Trendy cell chips already juggle gaming, imaging, networking, and multimedia workloads; now AI desires a far greater slice of the silicon finances too.

Even so, it’s onerous to totally excuse older units falling at the back of this briefly.

Google controls each Pixel {hardware} and Tensor silicon, but its AI roadmap already feels oddly fragmented. A part of the issue is that the Tensor G4 reused the similar TPU discovered within the G3, that means the Pixel 9 sequence is successfully working AI {hardware} that used to be already getting older prior to it even introduced. Google has additionally been somewhat conservative with CPU and GPU upgrades, restricting alternatives for older {hardware} to make up for it in different places.

And when telephones just like the 2025 vivo X200 already toughen Nano v3 whilst the Pixel 9 sequence doesn’t, you need to query whether or not Google’s customized TPU investments are handing over the benefit they had been intended to.

Whether or not this fragmentation stems from {hardware} barriers, building prices, or synthetic product segmentation, something is already transparent: the AI generation is making long-term tool guarantees a lot more difficult to outline.

That leaves shoppers in an ungainly place. Purchase a $1,200 Pixel 10 Professional XL these days, and there’s no ensure it received’t fail to see next-gen flagship AI stories the instant Google unveils Gemini Intelligence 2.0 at subsequent 12 months’s I/O. Positive, the telephone will nonetheless obtain Android updates for years. But when AI in point of fact is the way forward for Android, firms wish to be a long way clearer about what the ones long-term replace guarantees if truth be told come with — and, more and more, what they don’t.​