Gemini Task Automation: Slow Today, Powerful Tomorrow
Searching for how well Gemini task automation actually works? Early tests reveal a mixed experience—slow, sometimes clunky, but undeniably futuristic. On devices like the Pixel 10 Pro and Galaxy S26 Ultra, Google’s AI assistant can now complete real-world tasks like ordering food or booking rides. While it may take several minutes to finish a simple request, the bigger story is what this technology represents: a major leap toward hands-free digital life.
What Gemini Task Automation Actually Does
At its core, Google Gemini task automation allows the assistant to control apps on your behalf. Instead of just answering questions, it can navigate interfaces, input details, and complete transactions. This means you can ask it to order dinner, request a ride, or perform other everyday actions without manually tapping through apps.
The feature is currently limited to a small set of supported services, mainly food delivery and ridesharing apps. Even with these constraints, the system demonstrates how AI is evolving from passive assistant to active participant. It’s not just about convenience—it’s about redefining how users interact with smartphones entirely.
Real-World Test: Impressive but Frustrating
During hands-on testing by Allison Johnson, the experience highlighted both the strengths and weaknesses of this new capability. Ordering dinner through Gemini took around nine minutes—a timeframe that feels painfully slow compared to doing it manually.
The delays often come from the assistant processing each step carefully, verifying details, and interacting with app interfaces in real time. While this ensures accuracy, it also exposes the current limitations of AI speed and responsiveness. Users may find themselves watching the assistant work instead of saving time, which somewhat defeats the purpose—for now.
Why the Slowness Doesn’t Tell the Full Story
Despite the sluggish performance, the underlying technology is remarkably advanced. Gemini isn’t simply executing pre-programmed scripts; it’s dynamically interpreting tasks and adapting to different app layouts. This level of contextual understanding is what makes the feature feel groundbreaking.
Think of it as an early version of something much bigger. Just as voice assistants started slow and improved rapidly, task automation is likely to become faster and more seamless over time. The current experience may test patience, but it also offers a glimpse into a future where digital tasks require little to no manual effort.
The Future of AI Assistants Is Hands-On
What makes Gemini task automation truly exciting is its potential. Once expanded beyond a limited set of apps, it could handle a wide range of activities—from managing schedules to shopping online and even handling work-related tasks.
For smartphone users, this could mean a shift from app-centric usage to AI-driven workflows. Instead of opening multiple apps, users would simply describe what they want, and the assistant would handle the rest. This evolution could fundamentally change how people interact with technology on a daily basis.
Should You Care About Gemini Task Automation Now?
Right now, Gemini task automation is more of a preview than a polished feature. It’s not fast enough to replace manual actions in most situations, and its limited app support restricts its usefulness. However, it’s still worth paying attention to, especially for early adopters and tech enthusiasts.
The technology signals where the industry is heading. Even if today’s experience feels slow and imperfect, the long-term implications are massive. Gemini isn’t just helping—it’s learning to act, and that shift could redefine convenience in the years ahead.
A Slow Start With a Fast Future Ahead
Gemini task automation may not be ready for everyday reliance yet, but it delivers something equally valuable: proof of concept. Watching an AI assistant complete real-world tasks—even slowly—feels like stepping into the future.
As improvements roll out, speed and reliability will likely catch up with ambition. For now, the experience sits at an interesting crossroads—frustrating in execution, yet undeniably impressive in vision.
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