Google I/O 2026: What Happens When Everything Connects?

Sundar Pichai (Google CEO) opened the presentation sharing some interesting numbers about the *evolution of AI with Google statistics that you can see in the following infographic.

Gemini Omni

The first model that allows you to modify videos using natural language, with inputs that can be images, text or video. But it is not just about understanding text, images, audio and video at the same time; it is about reasoning over all of them together to generate something new.

What sets it apart from any previous video generator is that it combines an intuitive understanding of physics with real knowledge about history, science and cultural context. So you can take a video you recorded and ask it to change what happens in it, edit the action, add characters, transform a moment into something completely unexpected.

📍 Gemini Omni →

🤖 Agents & Productivity: Your Digital Life, Managed

This is one of the categories I enjoyed the most, featuring several tools that change the way we work and organize our daily tasks.

Daily Brief

Google has been offering AI summaries for a while, but Daily Brief is something different. Instead of summarizing a document you provide, it reads your chats, your Gmail emails, your calendar context and your pending tasks, and then prioritizes what matters for your day. The difference between a generic summary and one that actually understands your context is significant, and that is exactly what Daily Brief proposes.

📍 Daily Brief →

Docs Live

Docs Live changes the way we create documents. While it's already possible to create content using Gemini's voice input options, this solution lets you share your ideas aloud, and Gemini will start creating a document, formatting, structuring, and writing the text in real time.

The key difference from Gemini's existing voice input is that the result isn't a chat response; it's a properly formatted Google Docs document, complete with headings, lists, and a professional structure right from the start.

📍 Docs Live →

AI Search Box

The new search box is no longer limited to text. It now accepts images, files, videos and even Chrome tabs as input. It may seem like a small change, but it completely transforms the experience of searching for something, powered by the new Gemini 3.5 Flash models.

📍 AI Search Box →

Generative UI in Search

This announcement is quite interesting because information can already be accessed through agents, chats or other channels, but the main idea is to provide an interface that is intuitive for users to interpret that information. Instead of returning a list of links, Search can now build a personalized interactive interface for complex queries. Here you can get a live comparison table, a dynamic chart or an interactive explanation, all generated in real time for your specific question.

📍 Generative UI →

📍 Universal Cart →

Google Flow

Google Flow is a creative platform developed by Google that allows users to generate, edit and compose videos, images and music from prompts or images. In its latest update, it integrates with Gemini Omni to take video editing to a more conversational level, allowing you to change environments, add characters, and generate 16 different camera angles from a single image.

📍 Google Flow →

Stitch

Google Stitch is a tool developed by Google Labs that uses AI to design user interfaces (UI/UX). These designs can be exported directly to code, Figma, Google Antigravity or Google AI Studio. The design process is driven by instructions that can be given through text or voice, and it is generated in real time.

📍 Stitch →

⚙️ Developer Tools & Hardware

This section is perhaps one of the most diverse of the event, as it combines developer tools with consumer hardware that is still in active development. It ranges from systems capable of coordinating code agents at scale to devices that start bringing Gemini interactions directly into the physical world.

CodeMender

CodeMender is a security tool originally developed by Google DeepMind. The tool scans code, identifies vulnerabilities autonomously, recommends fixes, tests them in a safe environment, and can apply the necessary patches with your approval at each step.

📍 CodeMender →

Display Glasses & Android XR

Display Glasses go one step further: they include micro-projectors built into the lenses that overlay useful information on the real world, such as navigation maps or real-time translations on signs, among other features.

Meanwhile, Android XR is the operating system platform that powers these devices, developed with Samsung and Qualcomm. It is still in a trusted testers phase, with a wider rollout expected later this year.

📍 Android XR / Display Glasses →

Gemini for Science

Gemini for Science is a research acceleration platform that allows scientists to stay up to date with newly published papers, turn research goals into executable code, and generate new hypotheses. It is still in a prototype phase in Google Labs, but the concept is what matters: AI is not presented as a replacement for scientific thinking, but as infrastructure that removes friction from the early stages of research, enabling literature search, synthesis of papers, and translation of hypotheses into experiments.

A researcher who can stay updated in real time across their entire field and automatically translate a hypothesis into an experiment is a researcher who can focus on more meaningful work.

📍 Gemini for Science →

Isomorphic Labs

Isomorphic Labs, the biotechnology company within Alphabet (a sister company of Google DeepMind), continues to build on AlphaFold. This is an AI system developed by DeepMind that enables the prediction of protein structures.

It is another example of how Google’s technology is being applied in the pharmaceutical industry, helping to significantly accelerate research and molecular design for treatments against cancer and complex immune disorders.

In the keynote, this work was described as “science at digital speed”, where AI acts as a tool to understand biological systems that were previously impossible to model directly.

📍 Isomorphic Labs →

What I'm Most Excited to Try

If I had to choose the three announcements I will follow most closely:

🛒 Universal Cart & UCP + AP2

These two announcements will change the way we shop online. For years, we have designed experiences for human users: visual interfaces, marketplaces, recommendations and conversion funnels. But Google is proposing something different: agents capable of discovering products, evaluating options, monitoring prices and executing purchases on our behalf.

This means ecommerce is no longer only a human platform interaction, but starts to become an ecosystem where agents also participate as consumers.

I do not think these solutions will replace traditional commerce overnight, but they will deeply change how trust is built, how products are presented, and how companies compete for attention, not only from people but also from intelligent agents.

🔍 Search Agents

Traditional alerts have always been passive: they depended on exact keywords and often generated more noise than context. This is one of the announcements I will probably follow most closely because it completely changes that logic.

Instead of manually searching for information, you can now delegate the monitoring of a topic to a system that understands intent, relevance and meaningful changes. An agent that continuously tracks the internet in the background.

And the more I think about it, the clearer it becomes that this might be one of the most important features of the keynote, precisely because it will quietly integrate into our daily routine.

🧬 Gemini for Science

Of everything announced, this is probably the project with the deepest potential impact.

Modern scientific research has a silent problem: the speed of knowledge has already surpassed human capacity to absorb it. Thousands of papers are published every week, information is fragmented, hypotheses are scattered, and entire weeks are spent just trying to stay updated.

Gemini for Science proposes something fundamentally different: turning AI into infrastructure for research.

The ability to translate scientific literature into actionable hypotheses, generate experimental code, connect discoveries across disciplines and accelerate research processes could completely change the scale at which science progresses.

Because perhaps the most important application of artificial intelligence is not to automate work, but to accelerate human knowledge.

🎥 What I Actually Tried: Google Flow

Most of the announcements that caught my attention were related to systems, agents and infrastructure. But beyond the long term vision, I also wanted to understand what it actually feels like to interact with one of these tools in practice.

So instead of just describing them, I decided to try one myself. I opened Google Flow and started experimenting with a short video prompt, and for a moment, I found myself living that childhood idea of creating my own animation.

(Accessed May 22, 2026)

📄 Appendix

This is the AI-generated prompt I used to create the video in Google Flow. I am including it here so you can replicate the experiment or explore it further.

A short animated intro video, 15 seconds. Chibi anime art style — soft cel-shading, vibrant neon colors, cinematic lighting, dark moody atmosphere. Think Lo-Fi anime meets cyberpunk gamer aesthetic.

Character: A small chubby panda in chibi style. Oversized black hoodie with hood down while walking, round panda ears visible on top. Serious and unbothered expression. Tiny paws. Soft black and white fur with subtle neon light reflections. This is a developer panda — cool, focused, says nothing.

Scene 1 — 0:00 to 0:05: Wide shot of a dark misty forest at night. A distant neon city skyline glows purple and cyan through the trees. Fog rolls along the ground. The panda walks alone from the right side of frame through a forest path, hands in hoodie pocket, completely unbothered. He approaches a large mossy rock formation — a hidden cave entrance covered by hanging vines with faint bioluminescent blue glow. He pushes the vines aside and steps in. Slow cinematic cut to black.

Scene 2 — 0:05 to 0:10: Interior of the cave — full gamer setup. RGB neon strips in Google colors (blue, red, yellow, green) line the rocky cave walls casting dramatic colored light on everything. A dark stone desk holds a glowing MacBook Pro, mechanical keyboard with RGB backlighting, mouse with neon underglow, and stacked empty energy drink cans. The panda walks to the desk, drops his backpack on the floor. Pulls out the chair and sits down. He opens the MacBook — a burst of white light floods his face and the cave. He slowly reaches to the side, picks up thick black sunglasses and puts them on. Then places large black headphones over his panda ears. He cracks his tiny paw knuckles. Leans forward. The RGB strips pulse once in sync.

Scene 3 — 0:10 to 0:15: Ultra slow cinematic push-in toward the MacBook screen. The cave darkens around it. The screen fills the entire frame glowing bright. Bold text appears: "GOOGLE I/O 2026 — THE AGENTIC ERA IS HERE" in clean white typography on dark background. Neon blue and green light pulses around the text edges. Below it, six glowing color blocks appear one by one with smooth fade-ins: MODELS · AGENTS · SEARCH · CREATIVE · DEV · SCIENCE. Each block in its Google neon color, white bold uppercase text, subtle neon glow border. Final frame holds 2 seconds with all blocks visible, neon pulsing softly. Fade to black.

Lighting & mood throughout: Dark, moody, cinematic. Neon reflections on all surfaces — the panda's fur, the cave walls, the desk. Color palette: deep black backgrounds, cyan #00F5FF, neon green #39FF14, Google blue #4285F4, Google red #EA4335, Google yellow #FBBC04, purple #BF5FFF. Inspired by cyberpunk anime aesthetics — think lo-fi coder vibes meets Akira color palette.

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