Gemini 4, Veo 4, and Android XR: Everything to Expect from Google I/O 2026

Google I/O 2026 is set for May 19–20, and this year isn’t just another feature drop. Google is under pressure to justify a reported $185 billion AI investment, defend its lead against OpenAI, Anthropic, xAI, and DeepSeek, and turn 750 million Gemini users into a true AI ecosystem.

From Gemini 4 and Veo 4 to AI glasses and a desktop OS, here’s what’s actually likely to arrive—and how it could change the way you search, code, create, and work.

Gemini 4: Google’s Next Flagship Model

Over the last year, Google has quietly clawed back AI market share. Gemini’s share of mobile daily active users reportedly jumped from 14.7% to 25.1%, while ChatGPT dropped from 69.1% to 45.3%. Gemini 3.1 Pro already topped public benchmarks like S2E, but Gemini 4 is designed to be a bigger leap, not just a small upgrade.

Demis Hassabis, CEO of Google DeepMind, has confirmed Gemini 4 is in development. A research variant nicknamed “Deep Think” gives us a hint of what’s coming: it hits 84.6% on the ARC AGI-2 benchmark (focused on abstract reasoning) and scores around 3,455 Elo on Codeforces—roughly top 0.2% of competitive programmers worldwide.

Based on leaks and patterns from previous launches, here’s what Gemini 4 is expected to bring:

• Massive context window: Over 2 million tokens, enough to load entire codebases, long books, or large datasets into a single session.

• Persistent long-term memory: The model could remember your preferences and prior work across sessions, making it feel more like a personal AI than a stateless chatbot.

• Ultra-low latency: Targets under 300 ms response times, which is crucial for real-time agents and voice assistants.

• Deep Astra integration: Project Astra is Google’s real-time multimodal stack (vision, audio, text). Gemini 4 is expected to be its core brain, enabling live camera understanding, instant explanations, and interactive agents.

Google’s hardware story backs this up. The new Ironwood TPU pods scale to 9,216 chips and deliver around 42.5 exaflops of compute. Google is reportedly spending nearly $10 billion on TPUs from Broadcom in 2025 alone—up from $6.2 billion in 2024—clearly gearing up for heavier models and video workloads.

Most likely scenario: Gemini 4 gets a live demo or limited preview at I/O 2026, with a broader rollout late 2026 or early 2027. Even a staged demo would dominate AI headlines for weeks.

Gemini Nano 4 and “Nano Banana”: On-Device and 4K Image AI

While the spotlight is on giant models, Google is also pushing hard on tiny ones that run directly on your phone.

Gemini Nano 4 is already in developer preview (since April 2). It’s reportedly 4× faster than the previous Nano and uses around 60% less battery. The key idea: you get AI features—summaries, replies, basic reasoning—even when you’re offline, with better privacy and lower cloud costs.

On the creative side, there’s a fast-growing family of image models informally referred to as Nano Banana, built on Gemini 3.1 Flash Image:

• Nano Banana 2: Released February 26, optimized for speed and high-volume use, with 4K image generation and no visible watermarks—something even native Gemini image tools don’t currently offer.

• Expected at I/O: Nano Banana Pro 2 and possibly Nano Banana 3, with rumors of 3D image capabilities and deeper integration with Veo 4 for image-to-video workflows.

If you care about image quality and cost, this space is moving fast. For a broader look at how these models compare to other generators, check out our breakdown in Best AI Video Generator in 2026: Which Model Actually Wins?.

Veo 4 and Lyra 3 Pro: Longer, Sharper AI Video and Music

Google’s Veo models are its answer to text-to-video tools like Sora and Runway. The current Veo 3.1 can generate around 8 seconds of video, and Veo 3.1 Light (released April 2) made it more accessible to everyday users. But Veo 4 is where things get serious for creators.

Based on leaks and even early Wikipedia edits, Veo 4 is expected to offer:

• 10–30 second video generation: Much longer clips, suitable for ads, shorts, intros, and more complex storytelling.

• 4K resolution: Higher fidelity visuals that can actually stand up in professional workflows.

• Storyboarding tools: The ability to plan and generate sequences of shots with consistent characters, scenes, and motion—fixing one of the biggest pain points in current AI video: consistency.

• Better motion and clarity: Less of the “melted wax” look that has plagued earlier Veo versions, and smoother, more coherent motion between frames.

Alongside Veo, Google’s Lyra 3 Pro music model now generates full 3-minute tracks with vocals, instruments, and song structure—6× longer than the previous version. That means you can go from a prompt to a full song, not just a short loop.

Given that Veo 3.1 only got a minor update in October, expectations are high that I/O 2026 will be Veo 4’s big stage moment, with live demos of longer, storyboarded, 4K video.

If you’re exploring AI video tools right now and don’t want to wait, you might also like our guide on free AI video generators with no watermarks.

AI Glasses and Android XR: Google’s Answer to Vision Pro

Instead of chasing Apple’s Vision Pro at $3,500, Google seems to be betting on lightweight, everyday AI glasses.

Samsung’s models SM-O200P and SM-O200J—around 50 g—are reportedly already in production. Google has invested $75 million into Warby Parker and taken a stake in Gentle Monster, signaling serious intent to bring AI glasses to the mass market.

Two main types are expected:

1. No-screen AI glasses: Audio-only, acting as a hands-free AI assistant for navigation, notifications, translation, and quick questions.

2. Transparent display AR glasses: With a see-through display for overlays, directions, and contextual information.

Crucially, iOS compatibility is rumored to be confirmed, meaning Apple users could access Google’s AI glasses without switching phones. Combined with real-time camera-based search (already live in 200+ countries), these glasses could turn “point and ask” into a default way of interacting with the world.

Search, Personal Intelligence, and Gemini Agents

While models and hardware grab the headlines, Google’s biggest moat is still search—and it’s being rebuilt around AI.

Search with Real Context

Search Live already lets you point your camera at anything, ask a question, and get an instant answer. The next step is Personal Intelligence—search that understands your own data (with opt-in):

• Gmail: “Find the Italian restaurant John recommended last month.”

• Photos: “Show me all photos from conferences where I met potential clients.”

• Drive & Calendar: “What deadline did my boss mention in yesterday’s meeting?” pulled from auto-transcribed Meet recordings.

This is currently limited to paid users, but I/O 2026 is expected to open a free tier to potentially 2 billion Google users. That would give everyday users an AI that actually understands their context, not just generic web pages.

Gemini Agent: From Assistant to Autonomous Worker

On top of search, Google is building Gemini Agent, an autonomous AI that can actually take actions on your behalf.

Today, a version of this agent (based on Project Mariner) is reportedly available only in the US for Ultra subscribers at $249.99/month. It can:

• Control your browser to book flights, fill forms, and manage online tasks.

• Handle email workflows—sorting, drafting, and responding based on your instructions.

• Make purchases using saved payment methods via a “universal commerce protocol” that integrates with Shopify, Target, Visa, and more.

Leaked plans suggest expansion to the UK, Canada, and Australia first, with support for 15 languages by the end of the year. That implies Google has already done the hard work of local payment integrations and compliance in multiple regions.

If this rolls out as expected, Gemini Agent could become a true digital worker—handling shopping, bookings, and admin in the background while you focus on higher-value tasks.

Android 17 and Lumina OS: AI-Native Operating Systems

On the software side, Google is turning both mobile and desktop into AI-first platforms.

Android 17 is already in beta, with a full reveal expected at I/O. The standout feature for power users is the deeper integration of Gemini as a system-level agent, especially for Ultra subscribers:

• Full-device management: Shopping, bookings, and planning handled automatically by your AI.

• Commerce automation: One command to find products, compare prices, apply coupons, and buy—without you taking out your card.

Beyond mobile, Google is preparing Lumina OS (often described as “Android for desktop PCs”), a direct competitor to Windows and macOS. Sameer Samat has confirmed a 2026 debut.

Think of it as Chrome OS evolved:

• Full Android app support on desktop.

• Deep Gemini integration at the system level—AI for search, file management, coding, and more.

• Cloud-first design with tight integration into Google’s ecosystem (Drive, Docs, Meet, etc.).

Even a developer preview at I/O would signal Google’s intent to make AI-native desktops mainstream.

Robotics, Science, and the Wider AI Arms Race

Not everything at I/O will be consumer-facing. Google is also using AI to reshape robotics, infrastructure, and science.

Boston Dynamics Atlas + Gemini: The partnership is confirmed. Hyundai plans to produce around 30,000 robots per year, with early units going to Google DeepMind and Hyundai facilities. Whether we see a live robot on stage or just a demo video, Atlas powered by Gemini is a strong signal of where industrial robotics is headed.

Alpha Evolve: A model focused on optimizing algorithms and infrastructure. It reportedly saved Google 0.7% of compute usage—small on paper, but worth around $1.3 billion per year at Google’s scale.

Alpha Genome: Used by 3,000 scientists in 160 countries to predict gene regulation and accelerate drug discovery, tackling problems that have resisted traditional methods for decades.

All of this is happening while the broader AI arms race accelerates:

• OpenAI: GPT-6 reportedly finished training on March 24 and could drop any time.

• Anthropic: Claude Mythos preview is so powerful at finding software vulnerabilities that it’s not publicly released; it has already uncovered thousands of zero-days across major OSes and browsers.

• xAI: Grok has jumped from 1.9% to 17.8% US market share in a year, with Musk merging xAI and SpaceX into a $1.25T entity.

• DeepSeek: DeepSeek V4 is expected in 2026, trained on Huawei chips instead of Nvidia. If it performs well, it could fundamentally change AI economics by proving you don’t need Nvidia hardware to build frontier models.

Against this backdrop, Google can’t afford a conservative I/O. With huge TPU investments, hundreds of millions of users, and deep integration into Android, Chrome, and YouTube, it needs to ship real products—not just research demos.

What’s Guaranteed, What’s Likely, and What’s Just Hype?

With so many leaks and rumors, it helps to separate expectations into tiers.

Tier 1: Basically Guaranteed

• Android 17: Already in beta; full feature rundown is almost certain.

• Gemini 4 preview: With DeepMind leadership publicly talking about it, a demo or limited preview is very likely.

• Gemini Nano 4 launch: Developer preview is live; a full rollout is mostly a formality.

Tier 2: Highly Likely

• AI Glasses: Samsung model numbers are in production databases, and Google’s investments in eyewear brands are too big to ignore. Expect at least a “coming later this year” tease.

• Veo 4: With internal API leaks and Wikipedia edits hinting at 30-second, storyboarded 4K video, I/O is the perfect stage for a major Veo upgrade.

• Gemini Agent expansion: Infrastructure, payment integrations, and multilingual support are reportedly in place, making a multi-country rollout plausible.

Tier 3: Plausible but Unconfirmed

• Lumina OS preview: Job listings and long-running rumors suggest it’s real, but we may only see a developer preview or a roadmap.

• Apple–Google AI partnership: Rumors point to Gemini powering Siri or iOS features, with WWDC 2026 (June 8) as the reveal. Apple needs stronger AI; Google wants iOS distribution. It’s not impossible.

• Live Atlas + Gemini demo: The partnership is confirmed; whether it appears on stage is a presentation choice.

One thing to keep in mind: Google tends to announce big and deliver gradually. Expect “limited preview,” “coming later this year,” and region-locked rollouts. Pricing will likely stay premium for top-tier models and agents.

How to Actually Benefit from All This

When Sundar Pichai walks on stage at Google I/O 2026, the AI landscape will shift again—Gemini 4 previews, Veo 4 demos, AI glasses, global agents, and more. But the real difference won’t be who watched the keynote; it’ll be who’s already comfortable working with AI tools.

The people who benefit most from these releases:

• Already know how to prompt effectively and structure tasks for AI.

• Understand the strengths and limits of different models (fast vs. accurate, image vs. video vs. code).

• Have workflows ready that they can plug new models into on day one.

Whether you use Google’s tools, OpenAI, Anthropic, or open-source models, the pattern is clear: the gap between people who understand AI and people who just passively use it is getting wider, fast.

The best time to start practicing was last year. The second-best time is before I/O 2026 lands.