On May 13, 2026, as the outpost of the annual Google I/O and also the most important part - an independent launch conference for Android, The Android Show opened online, unveiling the new product release lineup of Google's entire product lineup in the Android field in 2026.
Bet on Android again and build a hardware "skeleton" for Gemini
If you only look at the announcement content of Android Show 2026, your first reaction may be: Is this really an Android conference?
Whether it's Gemini's automatic operation, using Gemini to generate desktop widgets, or even the AI-driven voice input method - these functions that Google has repeatedly demonstrated are not essentially Android's own functions, but an extension of Gemini. Gemini Intelligence is a new name, Googlebooks is a new hardware category, and even Chrome and Android Auto have become the entrance to Gemini. Take the word "Android" out of all press releases, and the rest of the content actually only talks about one thing - Gemini.
This is a launch event that looks like Android but is actually Gemini. Android is the "hardware skeleton" that Gemini chose to implement All in today.
In the past few years, this skeleton has actually been ignored by Google for a while - Gemini's real main battlefield is the web, Workspace, and search. The experience of Gemini applications on iOS and Android is almost the same.
This time, Google pulled it back.
As for the shape of the skeleton - Apple had already given a sample drawing 18 months ago.
For the second consecutive year, Google has separated the Android conference from the I/O main stage and placed it separately a week before I/O. This schedule itself is more worthy of analysis than any demonstration at this conference-it means that Android can no longer be placed alongside the Gemini model on the I/O main stage, but it must have its own stage.
This time The Android Show released a total of four sets of content: Gemini Intelligence, Googlebooks, Android 17 system update, and Android Auto car update.
There's little really new in the latter two groups. Android 17’s batch of creator-oriented features—Screen Reactions to record people and screens at the same time, Instagram finally optimized for Android tablets, and Adobe Premiere coming to Android—are more like belated fixes. There is also a digital health feature called Pause Point, which allows users to pause for 10 seconds when opening an app and ask themselves "Why did I open this app?" and Noto 3D, a redesign of emoji expressions. Android Auto, a Material 3 Expressive redesign plus Dolby Atmos spatial audio, is a regular iteration.
These features wouldn’t come as a surprise at any Android spring launch.
But Gemini Intelligence is different.It’s not a feature, but a name—an umbrella brand that packages all of Google’s AI efforts over the years and clearly delineates “who is eligible to use it and who is not.”
Googlebooks are not as simple as a new laptop. It is a new hardware category specially created by Google to carry Gemini Intelligence - including Acer, Asus, Dell, HP, and Lenovo, covering all mainstream manufacturers from Chromebook old friends to traditional Windows PC manufacturers.
What is really worth dismantling at the press conference are these two things.
Going back to the moment when WWDC-Apple Intelligence appeared in June 2024, the most critical thing Apple did was not actually any functional demonstration, but to hard-bind a whole set of AI experiences with devices after iPhone 15 Pro. The next generation of mobile phones must buy Pro to use complete AI. Most of the older generation iPads are excluded, and even Macs are only available after M1.
This action was interpreted by many people at the time as a market strategy of "Apple to sell flagship phones." But looking back now, it has done much more than just marketing - it has defined a product paradigm in the AI era:AI is not software installed on every device. It is a hardware privilege that only devices with sufficient local computing power are eligible to enjoy.
Google has gone exactly the opposite way before. Gemini has always been a very "Google" product - it is a web product, a developer interface, a downloadable application on mobile phones, and a capability layer integrated into Workspace, Search, and YouTube. Google has repeatedly emphasized that "any Android device can use Gemini." Gemini Nano has been pushed to mid-range models, and the free tier is also very thick. This is Android's consistent attitude - openness, low threshold, and no distinction between devices.
As soon as the name Gemini Intelligence came out, the attitude changed.
Just look at Google's own wording and it's clear enough - "high-end Android devices", "latest generation Pixel and Samsung Galaxy", "coming online this summer". The first wave of users are the latest generation Pixel and Galaxy, followed by watches, cars, glasses, and laptops. A very Apple-flavored roadmap for high-end devices.
Specific functions are also designed along this route. Gboard's "Rambler" will use Gemini to upgrade voice input, filter out filler words, pauses, and self-correction, so that what you speak directly looks like it was written.
Create My Widget allows you to describe a desired widget - such as "recommend three high-protein fitness meals to me every week" - and AI directly generates a custom widget and puts it on the desktop.
Chrome finally has "auto browsing", which can scroll, click, fill out forms on the web for you, go to SpotHero to reserve a parking space, and go to Chewy to change the dog food order from puppy food to adult dog food - this is the first time that mobile phone intelligence has actually landed on Android.
These functions do require computing power, system-level permissions, and hardware cooperation. Therefore, the “high-end threshold” has engineering rationality. But Apple has used this rationale once before.
Googlebooks are the ultimate expression of this paradigm.
This time Google was not satisfied with grading existing hardware, but directly created a new hardware category tailored for Gemini Intelligence. Magic Pointer allows you to point at anything with the mouse, triggering Gemini contextual interaction; Create My Widget also comes to the desktop; Cast my apps puts mobile applications on the laptop's large screen; Quick Access allows the laptop to directly browse files on the phone. All these features are not available without Gemini.
The list of manufacturer partners is especially worth taking a look at. Acer and Asus are old friends of Chromebooks, but Dell, HP, and Lenovo are traditional Windows computer manufacturers. They were almost negligible in the Chromebook camp.
Google has also brought in traditional computer manufacturers this time, and its intention is very clear: to use Gemini Intelligence to reopen the computer market - and Chromebooks have not been able to shake the old battlefield of Windows for 14 years. This time it wants to use the AI card to start another round.
Putting together the naming of Gemini Intelligence + the high-end hardware roadmap + the tailor-made new category of Googlebooks, Google is taking the same path that Apple has taken in 2024.This is an acknowledgment that victory or defeat in the AI era will not be decided on the cloud model, but on the hardware level.
But this road map is almost impossible to implement in China.
The reason why Apple Intelligence can be established is that Apple masters both iOS and hardware - the boundary of the "high-end threshold", which is decided by Apple itself. Whether the iPhone 15 Pro is high-end and whether the A17 Pro is the threshold, Apple can decide in one sentence.
Android does not have this structure.
In January 2024, Samsung launched Galaxy AI at the Galaxy S24 launch conference - it is Samsung's own AI sub-brand, based on self-developed functions of Galaxy devices (real-time translation, Note Assist, generative editing). It took Galaxy AI two years to become the core of Samsung’s high-end phone sales story. This time Gemini Intelligence will be launched on the latest Galaxy device, but the AI story on Galaxy S26 must have the surname "Samsung" and not "Google".
The Chinese market is more direct - there is little room for Gemini Intelligence here.
Each Chinese manufacturer has its own AI strategy: Xiaomi’s on-device AI capabilities on ThePaper OS, OPPO’s AndesGPT, vivo’s Blue Heart Model, and Huawei’s Pangu. Their AI system is a self-developed architecture that combines devices and clouds. The model layer is a hybrid solution of Alibaba Tongyi, Baidu Wenxin, and Byte Doubao. Device-side reasoning is also optimized based on their own chips. Google services are completely absent from the Chinese market, and the Gemini model can neither enter nor plug in. The AI story of Chinese manufacturers is almost completely decoupled from Google - the AI on a domestic flagship phone has nothing to do with Google, from model to brand.
This means,Google’s ambition to become the “AI standard setter for the Android camp” this time is actually much smaller than imagined.——Pixel (a device that only accounts for a small share of the global Android market), plus some Samsung Galaxy (which wants to share the right to speak), plus some manufacturers that follow Google's rhythm, Google's set of applications on Gemini is more of a standard template, provided to more Chinese manufacturers.
The respective AI strategies of manufacturers have taken shape. If Google’s flag is planted, the land will have long been occupied.
12 years ago, Android used "any price, any screen size, any configuration" to tear apart the high-end market controlled by iOS. That was its strongest weapon back then—openness, low threshold, and no differentiation in equipment.
Twelve years later, Google is betting on Android again, but this time as a hardware skeleton for Gemini—a skeleton that looks increasingly like iOS.
This is not a degradation, but a redistribution of the voice of OS manufacturers in the AI era. Only this time, Android has gone the opposite direction of its past—and it no longer listens to Google alone.