Gemini's App Automation Is Rough Around the Edges — and That's the Point

There is a particular kind of awkward that belongs only to things that are genuinely new. Gemini's task automation feature, now rolling out on the Pixel 10 Pro and Samsung Galaxy S26 Ultra, has that quality in abundance. It is slow. It occasionally fumbles. And watching it navigate a food delivery app on your behalf feels a little like handing your phone to someone who has read the manual but never actually ordered a burrito. Yet something about it is undeniably impressive, and understanding why requires looking past the rough edges at the structural shift happening underneath.

The feature, currently in early access, allows Google's Gemini AI to take direct control of a limited set of apps and complete tasks autonomously. Right now that means a handful of food delivery platforms and rideshare services, a deliberately narrow sandbox. Gemini doesn't just respond to a prompt with information — it opens the app, taps through menus, selects options, and completes the transaction. The user watches, or doesn't. That distinction matters more than it might seem.

The shift from AI assistant to AI agent is one of the most consequential transitions happening in consumer technology right now, and it is easy to underestimate because the surface-level experience still looks like a chatbot doing chores. But the underlying architecture is fundamentally different. An assistant answers questions. An agent takes actions. The gap between those two things is enormous in terms of liability, trust, system design, and the economic relationships that get disrupted when a machine starts making purchasing decisions on a human's behalf.

Google's decision to start with food delivery and rideshare is not arbitrary. These are high-frequency, low-stakes transactions with relatively predictable flows. The app interfaces are standardized enough that an AI can navigate them without encountering too many edge cases. It is a controlled environment for training both the model and, crucially, the user. People need to learn how much they trust this thing before it starts booking flights or managing subscriptions.

The slowness that early testers have noted is partly a technical constraint and partly a design choice. When Gemini is navigating an app on your behalf, it is processing screen state, making decisions, and executing inputs in sequence. That takes time. But there is also an argument that moving deliberately is the right behavior for an agent handling real transactions with real money. A system that moves too fast would feel reckless. The clunkiness, in other words, may be a feature dressed up as a bug.

The more interesting story here is not what Gemini can do today but what the infrastructure being built right now makes possible in two or three years. Once users become comfortable delegating app-based tasks to an AI agent, the behavioral baseline shifts. People stop thinking of apps as things they use and start thinking of them as services the AI uses on their behalf. That is a profound reorientation of the relationship between consumers, apps, and the platforms that host them.

For app developers and the businesses behind them, this creates a new and uncomfortable dynamic. If Gemini is the entity navigating your food delivery app, then the app's user experience design — the carefully engineered nudges, the upsell prompts, the loyalty program friction — becomes largely irrelevant. The AI doesn't respond to dark patterns. It doesn't get distracted by a banner ad. It optimizes for the stated goal and ignores everything else. The entire discipline of conversion rate optimization, worth billions of dollars annually to the app economy, starts to erode.

There is also a concentration-of-power question that deserves more attention than it is currently getting. Google controls both the AI agent and, through Android, the operating system it runs on. As Gemini's automation capabilities expand, Google gains an increasingly privileged position in the transaction layer of the mobile economy. Which apps get supported first, which services the agent recommends, and how disputes are resolved when an automated transaction goes wrong — these are not neutral technical questions. They are governance questions, and the answers will be shaped by Google's commercial interests as much as by user needs.

The Pixel 10 Pro and Galaxy S26 Ultra are the first devices where this future becomes tangible, even if it is still moving slowly and occasionally tapping the wrong button. The awkwardness is real, but so is the trajectory. The more useful question is not whether the technology will improve — it will — but whether the institutions, regulations, and competitive structures around it will keep pace with what it is quietly beginning to change.