Sundar Pichai, CEO of Google, delivered the keynote at Google I/O 2026, announcing the advent of the 'agentic Gemini era' where AI delivers tangible value in everyday products. Over the past year, the number of tokens processed by Google's models has increased sevenfold to over 3.2 quadrillion per month, with more than 8.5 million developers utilizing Google's AI models.

In terms of products, Search's AI Overviews now boasts over 2.5 billion monthly active users, and AI Mode has surpassed 1 billion monthly active users. The Gemini app's monthly active users have more than doubled to over 900 million. Additionally, over 50 billion images have been generated using the Nano Banana image generation models, and new features like Ask YouTube and voice-powered Docs Live were introduced.

For infrastructure, Google plans to invest approximately $180 billion to $190 billion annually in capital expenditure to support AI innovation, unveiling its 8th generation TPUs (TPU 8t and 8i). The TPU 8t is optimized for large-scale pretraining, while the TPU 8i dramatically improves inference speed, with both chips offering enhanced energy efficiency.

The new multimodal model, Gemini Omni Flash, is capable of generating outputs in any modality from any input, starting with video, and is available on the Gemini app, Google Flow, and YouTube Shorts. To enhance transparency in AI-generated content, the invisible watermarking technology SynthID is expanding to partners like OpenAI, Kakao, and Eleven Labs, and Content Credentials verification is being integrated into Search and Chrome.

Gemini 3.5 Flash shows significant improvements across benchmarks compared to its predecessor, 3.1 Pro, particularly in coding and economically valuable tasks (GDPVal). This model is four times faster than other frontier models and is offered at less than half the price, potentially saving companies over $1 billion annually.

Antigravity 2.0 has evolved into a platform for developing and managing cohorts of autonomous AI agents, and Gemini Spark is introduced as a 24/7 personal AI agent to navigate users' digital lives. Google Flow now includes a new agent capable of planning and reasoning through complex tasks, along with Vibe Coding capabilities.

Google Pics, a new AI image creation and editing tool built on the Nano Banana model, treats every element as an individual object, allowing for precise editing. Furthermore, Gemini for Science offers a suite of AI tools to accelerate scientific research, including experiments on Google Labs and connections to over 30 major life science databases.

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Google has launched new capabilities within its AI Studio, enabling even users without programming experience to build Android applications in minutes. This advancement leverages the power of Generative AI to significantly democratize app development.

Users can describe app functionalities and designs through natural language prompts or simple instructions, and AI Studio will automatically generate code and quickly create a previewable application. This allows for rapid prototyping of ideas and substantially reduces time-to-market.

The tool is specifically designed to empower small business owners, educators, or individuals with specific needs to easily create custom applications. AI Studio is expected to accelerate innovation within the Android ecosystem and foster the creation of a more diverse range of applications.

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Google has unveiled its new multimodal AI model, Gemini Omni, which possesses the capability to generate video content from diverse input sources such as images, audio, and text. This represents a significant leap in AI's ability to simulate and comprehend the real world.

A key characteristic of Gemini Omni is its ability to integrate multiple forms of information, not limited to a single modality, to produce richer and more complex outputs. While initially focused on video generation, it is slated to support image and text generation in the future, indicating a vast scope of applications.

This technology holds the potential to bring about transformative changes across various sectors, including content creation, entertainment, and education. Users will be able to generate complex video scenes from simple instructions or combine existing media to craft new narratives.

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