Google is developing a new feature for Google Maps that will let Gemini AI place food orders on your behalf, even while you're traveling to pick them up. The capability, discovered in the latest Android version of Maps, represents a significant shift in how the app handles restaurant recommendations, moving from simple suggestions to fully autonomous actions. This agentic AI feature could fundamentally change how people order food by collapsing a multi-app process into a single conversation.

How Does Google's AI Food Ordering Feature Work?

The upcoming feature builds on Ask Maps, which already uses Gemini to recommend restaurants and local spots based on your preferences and location. The new capability would extend that recommendation layer into action. Instead of suggesting a restaurant and leaving you to open DoorDash or Uber Eats separately, the AI agent would handle the entire ordering sequence itself.

Code discovered in Google Maps version 26.27.00.941319029 for Android reveals how the feature will function. Users would simply describe what they're craving, and Maps will discover local favorites and place the order automatically, even while they're on the go. The feature includes a "Try it out" call-to-action and dismissal prompt, suggesting it will appear as a new feature announcement when it launches.

Why Would This Change How People Order Food?

Today's food ordering process is fragmented and repetitive. A typical workflow involves opening Google Maps to find a restaurant, checking reviews and hours, closing Maps, opening DoorDash or Uber Eats, searching for the same restaurant again, selecting items, adding payment details, confirming the address, and completing the order. For anyone who does this regularly, the redundancy is frustrating.

Bringing food ordering directly into Google Maps via Gemini would collapse that entire process into a single app and a single conversation. Payment details and delivery address would already be stored in the Google ecosystem, and the AI agent would carry the instructions through to checkout without requiring users to fill in details or navigate between platforms.

Steps to Understanding Agentic AI in Consumer Apps

• From Recommendation to Action: Traditional AI assistants suggest options and leave execution to the user. Agentic AI takes the next step by actually performing tasks like placing orders, managing payments, and confirming details without human intervention at each stage.
• Integration Across Ecosystems: The feature leverages existing Google services like Google Wallet and stored addresses, allowing the AI to complete transactions using information already in your account rather than requiring re-entry.
• Contextual Awareness: The AI understands your location, travel time, and preferences, enabling it to time orders appropriately and suggest restaurants that match your tastes and current situation.

What remains unclear is whether the agentic food ordering capability will be handled by Gemini in the cloud or whether it will require specific hardware. Earlier this year, Gemini's agentic ordering functions landed exclusively on the Pixel 10 series, which would represent a notable departure from how Maps typically operates, since the app generally does not lock features to specific devices.

When Will This Feature Actually Launch?

No release date or rollout timeline has been confirmed. The feature remains in active development, as evidenced by the code strings discovered in the latest Maps version. An APK teardown, however, is not a guarantee that a feature will make it to public release. Google has not announced any official timeline for when users can expect to see this capability in their Maps app.

This development is part of a broader push by Google to embed agentic AI capabilities across its product ecosystem. Gemini Spark, the company's 24/7 AI agent, is now available on macOS to automate desktop tasks and integrates with tools like Canva, Dropbox, and Instacart. Meanwhile, Gemini Omni Flash and Nano Banana 2 Lite are available to developers to support conversational video and image creation.

The shift toward agentic AI represents a meaningful evolution in how AI assistants interact with users. Rather than requiring explicit instructions for each step, these systems can understand a high-level goal, break it down into subtasks, and execute them autonomously. For food ordering, this means the friction of juggling multiple apps could soon disappear entirely, replaced by a simple natural language request within an app you already use daily.