Google launches Gemini on Samsung Galaxy S26: AI will order taxis, food, and purchases

Google has begun rolling out to Samsung Galaxy S26 an agentic feature of Gemini that can perform actions in third-party services on behalf of the user. Initially, the rollout is limited to the United States and South Korea, but the scenario itself matters more than geography: AI on a smartphone is transitioning from providing answers to executing real operations.

What Gemini Can Do

The new feature transforms Gemini from an assistant that only suggests into a tool capable of completing tasks end-to-end. A user formulates a goal in natural language, and the agent gains access to external services and proceeds through the necessary steps within them. The material discusses shopping orders, ticket purchases, and other everyday scenarios where previously users had to manually switch between applications, compare options, and separately confirm each action.

• Order a taxi based on a conversational request
• Complete food delivery without manually searching in an app
• Make purchases in stores through connected services
• Reservations and airline bookings for trips

The key difference here is that Gemini operates not as a search bar and not as a generator of advice lists. It gains the ability to connect with the needed service and execute a chain of actions within a specific scenario. For a mobile device, this is an important shift: the user spends less time thinking about which app to open first and more time formulating the end goal—for example, getting to a destination, ordering dinner, or resolving a household task in a couple of messages.

This model is especially convenient where a task consists of several small steps: choosing a service, verifying parameters, filling out a form, preparing an order. On a smartphone screen this has always been more tedious than on a computer, so agent automation looks like a logical direction precisely for flagship phones. If integrations prove stable, Gemini could take over a significant portion of daily routine from manual app navigation.

Why Samsung Matters

The rollout specifically on Samsung Galaxy S26 shows that Google is testing the agentic format not in an isolated lab showcase, but on a mass-market device with a large audience. The partnership with Samsung has long served as a testing ground for new Android features, and now the turn has come to AI automation. Just a few weeks ago Google only demonstrated this mode, and now has brought it to actual smartphones and a limited set of markets—it is no longer a concept but the beginning of consumer deployment.

The choice of the United States and South Korea also makes sense. These are markets where Samsung has strong positions, and users more readily try new mobile services, especially when it comes to shopping, delivery, and travel. For Google, this is a convenient way to test not only the quality of the model itself, but also how the agent behaves in combination with partner platforms, payment steps, local catalogs, and people's expectations from a mobile assistant.

A separate question is how deep the integration with external services will become and how much control will remain with the phone owner at each stage. For such scenarios, permissions, transparent confirmations, and predictable agent behavior are important, because we are no longer talking about text on a screen but about orders and expenses. Therefore, the current rollout can be viewed as an early but instructive stage: Google is testing whether a smartphone is ready to become a point where AI not only advises but acts.

What This Means

The mobile AI market is rapidly shifting from the format of "asked—received answer" to the format of "set a task—received executed action." If Google manages to make such scenarios reliable, the next competition will unfold not around whose assistant writes text better, but around who more safely and conveniently manages applications, orders, and bookings. For users, this is a chance to spend less time on smartphone routine, and for the Android ecosystem, a signal that agentic features are becoming not a demonstration but a separate product layer.