For 25 years, Google’s core mission has been to “organize the world’s information.” But this time, Google decided it won’t just help you find information — it will digest it, execute tasks, and even make decisions for you
In the early hours of May 20, 2026 (Beijing time), Google I/O 2026 kicked off. Across nearly two hours of议程, Google didn’t keep escalating the parameter race — instead, it dedicated the most time to Agents.
From models to search, from agents to hardware, from pricing to ecosystem, Google’s ambition has far exceeded the scope of a “search engine company.”
The Core Number: 3.2 Quadrillion Tokens Per Month
Google CEO Sundar Pichai opened with a number: 3.2 quadrillion. That’s Google’s monthly AI processing volume across all platforms.
Two years ago, this number was 9.7 trillion. Last year, it was 480 trillion — a nearly 7x increase in one year. This number tells us one thing: Google’s AI products are already being used at massive scale.
Rather than doubling down on parameter counts, Google pivoted to a more fundamental question: How can AI actually help users get things done?
Model Layer: Gemini 3.5 Flash and Dual-Chip Strategy
On the model front, Google announced several key updates:
- Gemini 3.5 Flash: 4x faster output than comparable products at less than half the cost — now the default engine for Gemini App and Search
- Gemini Omni: Supports mixed text, image, audio, and video input, can generate editable video with specified camera angles and shots
- Gemini 3.5 Pro: Expected in June, currently in closed beta
Equally significant is the strategic shift at the chip level. Google introduced a “dual-chip” strategy for its 8th-generation TPU: TPU 8t for training, TPU 8i for inference. A single TPU 8t Pod can house 9,600 chips, delivering 121 ExaFLOPS of cluster compute — roughly 3x the previous generation. TPU 8i focuses on low-latency inference with 80% cost-performance improvement.
Separating training from inference marks a new phase in the global AI chip competition — one where specialization, not just raw power, defines winners.
Search Revolution: Agent Search Takes the Throne
This is the most transformative change of I/O 2026.
For decades, the search paradigm has remained unchanged: users type keywords, search engines return links, websites capture traffic. Google’s solution this time? Open a new lane beside the traditional search results page — Google Search AI Mode, essentially a universal ChatBox powered by Gemini 3.5 Flash generating real-time answers.
But that’s not all. Google introduced Generative UI, powered by the Antigravity engine: not static content, but dynamic applications.
Search “how does mortise-and-tenon work,” and Google generates an interactive demo app. Search for a new car, and you enter a real-time AI-generated 3D space — switch interiors, inspect seats, simulate driving angles.
Every search is now a custom-built app. The internet’s decades-old premise — “web pages host information” — is being challenged. Google now argues the web page as a middle layer is unnecessary: AI can either aggregate third-party content or deliver a far more suitable interactive interface.
AI Pulse View: This isn’t an upgrade to search — it’s the end of search as we know it. When AI can directly give you answers and even execute results, the “ten blue links” product format has completed its historical mission. For websites and content creators relying on search traffic, this is a structural shift that demands serious attention.
Agent Suite: From Coding to Daily Life
Google’s agent-layer ambitions are equally aggressive:
- Gemini Spark: A 24-hour personal Agent running in the cloud, continuously handling tasks for users
- Antigravity 2.0: Multi-agent orchestration platform, moving beyond coding scenarios to directly compete with Claude Code and Codex
- Universal Cart: An AI shopping cart spanning Search, YouTube, and Gmail — Nike, Walmart, and others are early adopters
Google’s advantage lies in ecosystem completeness. Compared to the more application-narrow OpenAI and Anthropic, Google can embed AI and Agent capabilities across its entire product line — Search, YouTube, Android, Gmail, and more.
Android XR Audio Glasses: AI’s Next Hardware Frontier
On the hardware front, Google announced Android XR audio glasses, manufactured by Samsung, compatible with iOS, co-designed with Gentle Monster and Warby Parker. Audio-only versions arrive this fall, with display-equipped versions following next year.
This signals Google’s positioning for AI’s next hardware entry point — not phone screens, but always-on intelligent wearables.
Pricing: From $250 Down to $200
Subscription strategy adjustments are equally telling:
- New $100/month Ultra plan
- Previous $250/month top-tier Ultra plan reduced to $200
- Pro remains at $19.99/month
The logic behind the price cut is clear: Google wants more people using advanced AI capabilities, leveraging scale to spread costs while attracting more users to the Agent ecosystem.
The Bigger Picture: AI Is Rewriting the Rules of the Internet
The significance of Google I/O 2026 goes beyond individual product launches — it demonstrates a clear trend: AI is transitioning from a “tool” to “infrastructure.”
When search no longer helps you find web pages but directly generates what you need; when web pages are no longer designed for humans but primarily for AI to read; when Agents are no longer chat toys but 24/7 digital employees working on your behalf — the foundational rules of the internet are being rewritten.
Meanwhile, the AI security landscape is undergoing equally dramatic changes. Around the same time as I/O, Mozilla revealed that the Firefox team fixed 423 security vulnerabilities in a single month using Claude Mythos Preview — more than the previous 15 months combined. And Karpathy’s announcement that he’s joining Anthropic to focus on Recursive Self-Improvement (RSI) signals that AI is accelerating its own optimization.
Everything points in the same direction: the boundaries of AI capability are expanding faster than most expected.
AI Pulse View: The core signal from Google I/O 2026 is clear: the AI race has moved from “whose model is stronger” to “who can embed AI into the most scenarios.” Google, with its full-stack ecosystem advantage, is building a moat that’s hard to replicate. But for small websites, content creators, and businesses dependent on search traffic, “websites are dead” may not be hyperbole — it’s a reality that’s accelerating.