Google is expanding the capabilities of its AI assistant Gemini on Android, enabling it to automate certain multi step tasks such as requesting rides or placing grocery and food delivery orders, in a move that signals a deeper push into agent style artificial intelligence.
According to reporting by TechCrunch, Gemini on Android will now be able to carry out sequences of actions across apps, reducing the need for users to manually navigate between services. Instead of simply providing suggestions or answering queries, the assistant can complete structured workflows on behalf of the user.
The new functionality allows Gemini to handle actions such as initiating rideshare bookings, managing grocery orders or arranging food deliveries. This marks a significant shift from traditional voice assistant behavior, which typically involves responding to commands with information or launching specific apps without completing full transactional processes.
The rollout reflects Google’s broader strategy to evolve Gemini from a conversational AI into a more proactive digital agent embedded within the Android ecosystem. By enabling task automation across third party services, the company is attempting to create a more seamless experience where users can delegate practical actions rather than just retrieve information.
Gemini’s enhanced capabilities are part of Google’s ongoing integration of AI across its products, following the company’s rebranding and consolidation of its generative AI efforts under the Gemini umbrella. The Android operating system, which powers billions of devices globally, provides a natural testing ground for these more advanced assistant features.
The automation of multi step tasks typically requires secure app integration, contextual awareness and permission based access to user data. For example, arranging a ride involves determining pickup and drop off locations, selecting ride preferences and confirming payment details. Grocery and food delivery requests similarly require browsing, cart management and transaction confirmation.
By enabling Gemini to execute these flows, Google is moving closer to the concept of agentic AI, where systems can plan and carry out sequences of actions toward a defined goal. This contrasts with earlier assistant models that operated primarily through single command triggers.
The feature also intensifies competition in the AI assistant space. Technology companies are racing to position their AI systems not only as chat based interfaces but as embedded digital operators capable of navigating apps and services. Automation of everyday transactions such as transport and food ordering is seen as a key proving ground for this next phase of AI development.
For users, the value proposition centers on convenience and time savings. Instead of switching between multiple applications to complete a task, users can instruct Gemini in natural language and allow it to handle execution. However, adoption will depend on reliability, transparency and trust, particularly when financial transactions are involved.
Security and privacy considerations are likely to be closely scrutinized. Task automation across apps requires access to sensitive information including location data, payment credentials and account details. Google will need to ensure that permissions are clearly defined and that user control remains central to the experience.
Industry observers note that while the initial use cases focus on rideshare and delivery services, the underlying framework could extend to broader workflows, including travel bookings, appointment scheduling and productivity management. If successful, Gemini’s Android integration could serve as a foundation for more comprehensive digital task orchestration.
The update underscores how artificial intelligence is steadily shifting from passive assistance to active execution. As Gemini gains the ability to autonomously manage selected multi step processes, Google is positioning Android not just as a mobile operating system but as an AI enabled platform where everyday digital tasks can be delegated to software agents.
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