Google has pushed the limits of AI again. It has unveiled GenTabs, a new feature created with its latest model, Gemini 3. On December 11, 2025, the official Google Labs blog announced a new project. It aims to change how people use the web. Now, you can create AI-powered applications without needing to write any code.
GenTabs helps users manage complex online workflows. It automatically turns stacks of open tabs and chat interactions into interactive, custom web apps. GenTabs, powered by Gemini 3, is Google’s top multimodal AI model. It understands multiple tabs’ context. It helps create tools for real tasks, like planning trips, organizing research, or building custom utilities. This capability changes browsing. It turns it from a passive task into a collaborative, AI-enhanced experience.
The feature is currently being tested through a new project called Disco, a “discovery vehicle” from Google Labs. Interested users can join a waitlist to try Disco and GenTabs on macOS. Though still experimental and limited to early testers, this initiative reflects Google’s strategy of rapidly iterating AI innovations in real user settings before broader deployment.
What Is Gemini 3 and Why It Matters
GenTabs is powered by Gemini 3, Google’s latest flagship AI model that just began rolling out across several of the company’s platforms, including Google Search, the Gemini app, and developer tools like AI Studio and Vertex AI. Released earlier in November 2025, Gemini 3 represents a significant leap in AI reasoning, multimodal understanding, agentic capabilities, and coding intelligence.
According to Google, Gemini 3 outperforms its predecessor Gemini 2.5 Pro on every major benchmark and offers state-of-the-art performance in tasks involving text, images, video, audio, and code.
Key features include:
- Deep multimodal reasoning, meaning the model can understand and combine inputs across multiple types of data.
- Agentic coding, where the model not only generates code but can act autonomously to execute tasks and develop software workflows.
- Enhanced planning capabilities, allowing complex multi-step tasks to be carried out with minimal user intervention.
This makes Gemini 3 not just a conversational assistant but a full-spectrum intelligence platform capable of transforming ideas into tools, interfaces, or entire workflows.
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Impact on the AI Apps Industry
GenTabs and Gemini 3 mark a big change in AI applications. Agencies, developers, and businesses now aim to create smart, interactive experiences. This focus goes beyond just chatbots or basic automation.
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Democratised App Creation – No Coding Required
Perhaps the most striking implication of GenTabs is its promise of coding-free app generation. Users can describe their needs in natural language, and Gemini 3 will build interactive software on the fly. For non-technical people or small businesses, this makes it much easier to create custom tools. Now, they can create everything from dynamic dashboards to specific tools that used to need dedicated developers. This could spark a new wave of user-made AI tools and micro-apps. They might emerge in education, research, and business settings.
This shift aligns with broader AI trends where models like GPT-4 and beyond are increasingly used to “write the app for you,” but Google’s approach tightly integrated with the web and existing workflows could accelerate adoption faster than standalone frameworks.
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Competitive Pressure on AI Platform Providers
Gemini 3’s advanced reasoning and deep tool use set a high bar for competitors like OpenAI and Anthropic. Unlike many rivals, Google can deliver its AI not only through a dedicated app but deeply integrated within everyday products like Search, Chrome, and workspace tools, meaning it reaches billions of users instantly. Analysts suggest this could tilt momentum in Google’s favour in the ongoing “AI race” against dominant players such as ChatGPT.
For platform providers, this creates both opportunity and pressure: to innovate rapidly, offer flexible APIs, and bridge the gap between powerful models and end-user utility. Companies that fail to adapt to this new model-centric, agentic AI paradigm could find themselves marginalized as intelligent apps become the new baseline for software expectations.
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Business Adoption and Enterprise Automation
Beyond consumer use cases, Gemini 3’s capabilities especially its planning, reasoning, and execution features are poised to impact how businesses automate internal operations. Teams can leverage AI to manage data analysis, generate reports, create visual tools, and solve multi-step problems without extensive human scripting. This could transform workflows in sectors like finance, logistics, healthcare, and creative industries.
Moreover, the broader vision of AI agents that take actions on behalf of users (like organizing calendars or synthesizing multi-source insights) promises a future where AI acts less as an assistant and more as an autonomous collaborator, reshaping organizational productivity norms.
Looking Ahead
While still in the experimental phase, GenTabs built with Gemini 3 sets a bold direction for the convergence of browsing, AI, and real-time application generation. As Google continues to refine and expand these capabilities, the AI Apps industry will likely see an acceleration of intelligent, adaptive tools that not only respond to queries but proactively solve complex tasks.
Businesses and developers must understand this: future success hinges on three key areas. First, they need to integrate deeper AI reasoning into their products. Second, they should adopt low-code and no-code approaches. Lastly, rethinking human-computer interaction is essential. It should focus on collaborative intelligence instead of just automation.
