With its latest upgrade, Google is transforming AI Mode from an experimental conversational layer into a task-oriented AI agent capable of handling real-world actions. The update introduces agentic capabilities that allow users to book event tickets, beauty services, and wellness appointments directly through Search.

For instance, a user might say, “Find me two cheap tickets for the Shaboozey concert coming up. Prefer standing floor tickets.” AI Mode will then search across multiple ticketing sites, compile real-time listings, and present a curated selection of results — complete with links to finalize the purchase.

The same agentic capabilities apply to beauty and wellness bookings. Users can request, “Schedule a facial for Saturday afternoon near La Jolla,” and AI Mode will find compatible appointment slots across local platforms and direct them to the booking page.

The new features are currently available to users in the United States who have opted into Search Labs, Google’s experimental testing program. Participants with AI Pro or Ultra subscriptions receive higher usage limits, allowing them to explore more complex multi-step queries.

Google first introduced agentic capabilities in August, starting with restaurant reservations. Users could ask for tables that met detailed criteria — including time, party size, location, and cuisine type — and AI Mode would search across platforms like OpenTable or Resy to surface real-time availability.

This latest update extends that same approach to entertainment and self-care, marking a shift toward contextual, goal-driven AI that completes actions rather than simply providing links.

“Our priority in Google Search is connecting you with high-quality information you can rely on,” the company stated on its Search Labs page. “This new mode is rooted in our core quality and safety systems, but it’s still an early experiment and may make mistakes.”

The emphasis on reliability underscores the challenge facing all agentic AI systems: ensuring accuracy and safety while enabling autonomy. Google has repeatedly framed AI Mode as a complement — not a replacement — to traditional Search, allowing users to test AI-driven functionality within familiar guardrails.

Google first launched AI Mode in March, positioning it as a response to Perplexity AI and OpenAI’s ChatGPT Search. Since then, the company has expanded the feature to over 180 countries, continuously layering in new tools and experiments.

Recent additions include a Canvas feature that helps users organize study plans or projects across multiple sessions in a side panel, and the integration of Google Lens, enabling visual queries about what’s on a user’s screen. Together, these updates suggest that AI Mode is evolving into a multi-modal agentic assistant built directly into Search — capable of understanding text, visuals, and intent simultaneously.

Q: What are “agentic capabilities”?
A: The term refers to AI systems that can take action, not just respond — such as finding, filtering, and linking users to bookings automatically.

Q: Who can use these new booking features?
A: Users in the U.S. who are part of Search Labs. Subscribers to Google AI Pro or Ultra get higher activity limits.

Q: How is this different from normal Google Search?
A: Instead of simply returning links, AI Mode now performs multi-step reasoning and delivers curated results ready for action — like booking a concert or spa appointment.

Q: Is AI Mode available globally?
A: Not yet. Google plans to gradually expand availability beyond the U.S. after further testing and feedback.

Google’s AI Mode represents a new phase in agentic AI — where the goal shifts from “answering questions” to “taking action.”

By embedding booking, planning, and organization directly into Search, Google is moving toward a world where your digital assistant can handle entire tasks end-to-end. It shows that AI competition is no longer about who gives the best answers, but who actually gets things done for the user.

For everyday users, that means less tab-hopping and more task completion. For the industry, it marks the quiet emergence of a Search-to-Action economy — where information isn’t the endpoint, but the beginning of what AI can do next.

Editor’s Note: This article was created by Alicia Shapiro, CMO of AiNews.com, with writing, image, and idea-generation support from ChatGPT, an AI assistant used for research and drafting. However, the final perspective and editorial choices are solely Alicia Shapiro’s. Special thanks to ChatGPT for assistance with research and editorial support in crafting this article.