Google Launches Gemini 3, Ushering in a New Era of Agentic AI

Google has officially introduced Gemini 3, the company’s most advanced artificial intelligence model yet. 

The launch signals a dramatic shift in Google’s long-term vision to create AI systems capable of reasoning deeply, taking autonomous action, and personalising everyday digital experiences.

CEO Sundar Pichai described this moment as “a new chapter,” emphasising Google’s commitment to pushing the limits of intelligence and agentic capabilities.

The debut of Gemini 3 comes at a time when global interest in artificial intelligence is accelerating, with Nigeria emerging as one of the most curious markets. 

Google Search data reveals that queries related to “AI and studying” have surged by more than 200 percent over the past year, while searches for “how to learn AI” have grown by 160 percent. 

Gemini 3 Pro Sets New Standards in Advanced Reasoning

At the heart of this rollout is Gemini 3 Pro, the first model in the Gemini 3 family. The system delivers a leap in intelligence that enables it to understand deeper nuances and perform advanced reasoning tasks at a level comparable to PhD-level problem solving. 

The model has achieved record-breaking scores on key AI benchmarks, including an impressive 91.9 percent on the GPQA Diamond test. 

It also demonstrates superior comprehension of video, images, audio, and handwritten documents, marking a substantial improvement in multimodal understanding.

A Smarter, More Insightful AI Partner

Google explains that Gemini 3 Pro is designed not only to excel on benchmarks but also to elevate the quality of everyday interactions. 

The model avoids generic language and instead aims to offer clearer, more meaningful insight, acting as a thoughtful collaborator for users and developers. 

Its improved language understanding supports more intuitive “vibe coding,” allowing developers to transform raw ideas into functioning prototypes with minimal prompting. 

The model’s agentic abilities also allow it to interpret intent, plan multi-step processes, and complete tasks efficiently.

Google Search Evolves into an Interactive Learning Engine

One of the most transformative updates involves Google Search. For the first time, a newly released Gemini model has been integrated into Search on its launch day. 

With the new AI Mode enabled, Search now produces dynamic visual explanations, personalised tools, and interactive simulations. 

Instead of reading static text, users can manipulate real-time physics simulations or generate a customised mortgage calculator based on their unique financial scenarios. 

Google describes this evolution as Search transitioning from a simple information directory into an interactive learning companion.

Gemini Agent Introduces True Task Automation

Google also introduced a major enhancement to the Gemini app through the new Gemini Agent. Available to Google AI Ultra subscribers, the agent is capable of performing complex tasks across multiple Google apps. 

Users can request actions such as organising an inbox, prioritising tasks, or drafting email responses, and the agent will carry out these tasks autonomously. 

This marks one of the strongest steps Google has taken toward building a general-purpose digital assistant that can take initiative and deliver results without repetitive inputs.

Google Antigravity Gives Developers an Agent-Based Creation Platform

To support creators building with these new capabilities, Google announced Google Antigravity, an agent-based development platform designed for constructing and managing autonomous systems. 

Unlike traditional coding assistants, Antigravity can plan its own tasks, build and refine software features, fix bugs, and operate several agents simultaneously. 

Google describes the platform as a “mission control” centre for developers, offering transparent outputs and reinforcing trust through verifiable work artefacts.

A New Era in Intelligence and Interaction Begins

With the launch of Gemini 3, Google is stepping into a future where AI does not simply respond to questions but actively interprets intent, completes complex tasks, and supports personal and professional growth. 

The company says these new capabilities represent the beginning of a more interactive, personalised, and reasoning-driven era of artificial intelligence—one that will significantly reshape how people learn, search, build, and work across digital platforms.