Google and Samsung’s New Mobile AI Agents: What It Means for Your Workflow

Google and Samsung’s New Mobile AI Agents: What It Means for Your Workflow

I’ve been watching the mobile AI space for a while now, and honestly, something shifted last month that’s worth paying attention to. Google and Samsung quietly launched what they’re calling multistep mobile AI agents, and it’s not just another chatbot feature bolted onto your phone.

Here’s what actually happened: on Pixel 10 and Galaxy S26 devices, Gemini can now handle tasks that used to require bouncing between three or four different apps. We’re talking about analysing a group chat, figuring out what everyone wants for dinner, logging into a delivery platform, and preparing an order for your approval. All from a text thread.

What is it?

These aren’t your typical voice assistants that answer questions or read out your calendar. Mobile AI agents are background workers that can chain together multiple steps across different apps without you clicking around manually. In their demo, Gemini read a conversation, understood the preferences of everyone involved, navigated to an ordering platform, and got everything ready for you to tap approve.

The practical shift here is that instead of you being the one herding cats between apps, the AI does it. It’s running at the operating system level, which means it has deeper access to your phone’s functions than a standalone app ever would.

Apple showed similar capabilities for Siri back in 2024, but they’ve delayed rolling it out. Google and Samsung have moved first.

Why does it matter?

If you’re someone who regularly:

  • Books appointments or services from group discussions
  • Handles orders or reservations on behalf of others
  • Needs to compare information across multiple apps before making a decision
  • Spends time manually transferring information between platforms

then this changes your workflow. Instead of copying details from a chat app, opening a booking app, entering the info again, cross-checking it, you tell the AI agent and it does the legwork.

For business users, the implications are bigger. Imagine a sales team where the AI agent pulls customer chat history, checks inventory levels, updates the CRM, and drafts a proposal, all triggered from a single message. Or customer service reps where the agent automatically logs tickets, pulls relevant history, and flags priority cases.

What makes this different from previous AI tools is that it’s not waiting for you to explicitly ask for each step. It’s interpreting intent from conversations and running a sequence of actions in the background, which is why it matters that this is built into the operating system rather than sitting in a chat window.

The harder question is what this means for app developers and how many steps these agents can actually handle reliably. But the direction is clear: AI is moving from assistant in a chat box to a worker that actually navigates your phone the way you would.

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