Apple, Samsung, Google and Microsoft may be rivals but most of their business has revolved around selling the same dream to the average consumer at some point or the other. That, the smartphone will one day graduate from a passive portal for apps into a truly capable personal assistant. That dream remained distant until this week, when Google CEO Sundar Pichai took the stage in Mountain View California to kick off “the agentic Gemini era.”
“We’re now in the part of the AI cycle where people want to see the value in the products they use every day,” Pichai said addressing a large gathering of developers and key stakeholders, at Google’s high-profile I/O 2026 keynote event. The TL;DR version of this is, consumers want what Google has long promised. The difference is that now Google may be ready to give it to them. Pichai mentioned all the “technology advances” that have led to “hyper progress” in the field. The catalyst for this pivotal moment, however, came from outside of Google in the form of an open-source artificial intelligence agent platform called OpenClaw, formerly known as Claudebot and Moltbot.
Since bursting onto the scene last November, OpenClaw has captured the imagination of millions by allowing users to chat with autonomous agents via standard messaging channels like WhatsApp and Telegram. More importantly, these agents can run around the clock, manage workflows and execute low-level digital errands, on their own.
The impact was so big, it made the whole industry sit up and take notice. Some companies like OpenAI moved faster than others. The ChatGPT-maker acquired OpenClaw in February and hired its creator, Peter Steinberger, even while keeping the foundational architecture open-source. While not perfect – OpenClaw became infamous for accidentally deleting or overwriting files and emails – the underlying mechanics proved that autonomous agents could reliably carry out multi-step tasks without much hand-holding.
Google wants to bring the same capabilities to the devices we carry every second of the day. Given Google’s scale with Android and a recent partnership with Apple to power the next generation of Siri and broader Apple Intelligence features, it is safe to say that the smartphone is set to undergo its most radical evolution since the unveiling of the original iPhone.
The app store is melting
To understand how the smartphone will work in this new era, one must look at how the fundamental interaction model itself is changing. For nearly two decades, using a phone meant unlocking a screen, scanning a grid of colourful icons, opening an app, extracting information, and manually pasting it into another app. Industry insiders believe this status quo is on its way out.
According to Nothing CEO Carl Pei, “the app grid had a good 15-year run. Next interface is intent.” For Nothing co-founder and its India president Akis Evangelidis, current smartphones are a source of unnecessary cognitive friction.
The solution? The future needs to be rebuilt around personal context, not apps. Nothing has started experimenting with concepts like Essential Space and micro-apps that generate instantly based on what users need. These are not traditional programmes downloaded from a store. They are temporary, liquid pieces of user interface that appear when required and dissolve when the task is finished.
The idea is to build a system where the operating system adapts entirely to the individual. It will not be one standardised system distributed to a billion people, but a billion distinct, hyper-personalised systems operating on a billion devices. “My email, calendar, messages, travel, running recovery, even wine. Yours will look completely different. That’s the beauty of the next paradigm. The computer adapts to the person, quietly enough that life feels lighter, not louder,” Pei argues.
The phone will remain the primary compute gateway that maintains unmatched access to your digital footprint, but the interface itself will sense physical and cognitive contexts, seamlessly flowing across whatever glass or audio device is closest to you.
The rise of the background agent
The shift requires an entirely new tier of software engineering wherein we move away from reactive chatbots to proactive agents that work continuously in the background. Google has shown a blueprint for how this backend intelligence will work on consumer devices, primarily the smartphone.
At I/O, Google announced Gemini Spark, a cloud-based consumer AI agent designed to run continuously without requiring an active device or laptop connection. Unlike early experimental agents that hijacked desktop browsers and performed tasks at a slow pace, modern agents like Spark are designed to function like background utilities. It can sync across Android, iOS, and the web, moving beyond simple information retrieval into autonomous planning, shopping, researching, and scheduling across native Google services like Gmail and Calendar and dozens of external partner platforms, including Uber, Spotify, and Dropbox.
Consider your average morning routine. Instead of waking up to a bunch of notifications, Google’s Daily Brief and OpenAI’s ChatGPT Pulse, summarise critical inbox updates, calendar shifts, and urgent action items before you ever tap the screen. Furthermore, an agent can spend days monitoring stock market fluctuations, tracking material supply chains, or cross-referencing complex shifting weather patterns to automatically pinpoint and reserve the absolute best afternoon for an outdoor activity.
Subsidising the token economy
Running autonomous software 24/7 has its challenges. The cost of processing continuous data tokens can quickly spiral out of control. Speculation is rife that Microsoft recently cancelled Claude API subscription for internal use over ballooning cost. Tech companies like Uber have gone on record to say they exhausted their planned annual AI coding budget in just four months. To make the agentic smartphone economically viable for hundreds of millions of users, foundational models must become radically faster and cheaper.
This massive roadblock apparently drove the creation of Google’s Gemini 3.5 Flash model. Engineered specifically to handle multiple simultaneous agents executing long-running tasks, this framework operates at four times the speed of previous frontier models while cutting token expenses by more than half.
Google is playing to its strengths here. “Ten years since we pivoted the company to be AI-first, we still see AI as the most profound way to advance our mission and improve people’s lives at scale. That’s why we’ve been taking a differentiated, full-stack approach to AI innovation, from our custom silicon and secure foundation, to our world-class research and models, to our products and platforms that touch billions of people. This approach enables us to iterate and innovate faster in ways that are lighting up every part of the company,” Pichai reiterated at I/O.
Google’s ecosystem advantage is second to none. It is already hosting email, documents, photos, and cloud storage for over 900 million monthly users globally. It can – and possibly it is – temporarily subsidise the immense computational costs of these heavy AI workloads to drive consumer adoption, using tools like Antigravity to invite non-programmers into the ecosystem to build custom autonomous workflows.
The new hardware architecture
If the software is shifting from on-demand applications to continuous background execution, the physical smartphone hardware is also transforming to support it. A device that constantly runs complex machine learning models in the background risks overheating and rapid battery drain if built on legacy architecture.
Flagship devices like Samsung’s Galaxy S26 Ultra are leveraging highly customised mobile chipsets, which are optimised specifically to process complex neural network layers locally with maximum energy efficiency. Apple’s A-series iPhone chips have built-in neural accelerators to speed up AI tasks. To keep these advanced background capabilities running smoothly, engineers are rewriting the internal layouts, outfitting redesigned vapour cooling chambers to dissipate the persistent heat generated by continuous local processing.
Simultaneously, the physical design language is split into highly optimised, ultra-slim traditional slabs that emphasise portability, and multi-display folding form factors which provide the expansive visual real estate necessary to view multi-agent workflows side-by-side. The physical interface is also gaining dedicated hardware-level privacy mechanisms. Because these phones are designed to look at, interpret, and surface highly sensitive personal details throughout the day, hardware-enforced privacy displays are becoming standard, limiting peripheral viewing angles so that ambient personal intelligence remains visible only to the person holding the device.
Intelligence in action
When these hardware advancements converge with the right software, the day-to-day user experience starts shifting from manual input to natural, conversational intent. Conversational systems are becoming more commonplace and better. Through upgraded system agents like Samsung’s rebuilt Bixby, alongside its direct integrations with Gemini and Perplexity, users can adjust deep device settings, edit media, or coordinate cross-app actions using entirely natural language through a single-entry point. Systems are becoming context-aware, capable of realising when you have left your home to automatically resume an audiobook or leveraging subtle biometric feedback through paired wearable devices to detect when you have mentally zoned out, pausing media playback instantly.
We are seeing this manifest in contextual software features like Now Nudge and Photo Assist, which analyse real-time communications and local environments to offer predictive assistance. If a contact messages you asking for pictures from a recent trip, the operating system doesn’t wait for you to open a gallery app, search for the dates, and select the files. It recognises the context of the conversation, isolates the relevant photos from your storage library, and pre-emptively suggests them for transfer. If you need to alter an image, instead of opening complex editing software, you simply describe the desired change in plain words and the phone handles the transformation seamlessly.
The fact of the matter is, your smartphone is changing, faster than you perhaps give it credit. That rectangle slab in your pockets is no longer just a window to the internet or a launchpad for third-party applications. It is transforming into a living, thinking proxy for your digital intentions. With Google going all in with agents and OpenAI gearing to enter the space, smartphones are about to get all the more exciting soon.
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