Google I/O 2026: All AI Announcements — Gemini 2.0 Pro, Project Mariner, Gemma 3 & More

Google I/O 2026 was dominated by AI from start to finish. With over 120 AI-related announcements, Google made it clear that AI is the core of its product strategy. Here is everything developers need to know.

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Gemini 2.0 Pro: The New Flagship

Google's most capable model yet, Gemini 2.0 Pro, launched at I/O 2026 with impressive specs:

Key Capabilities

Gemini 2.0 Pro introduces:

• Native video understanding — process video frames in real-time without pre-processing
• Audio generation — text-to-speech and music generation natively
• Code execution — built-in Python sandbox for code verification
• Agentic mode — can browse the web, use APIs, and take actions autonomously

API Access

import google.generativeai as genai

genai.configure(api_key="YOUR_API_KEY")
model = genai.GenerativeModel("gemini-2.0-pro-2026-05-01")

response = model.generate_content(
    "Watch this video and summarize the key tech announcements",
    contents=[uploaded_video]  # Direct video input
)

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Project Mariner: Google's AI Agent Platform

Project Mariner, first previewed in late 2025, is now generally available. It is Google's platform for building AI agents that can browse the web, fill forms, and complete tasks on your behalf.

What Mariner Can Do

• Web automation — navigate multi-step web workflows
• Form filling — intelligently fill out complex forms
• Data extraction — scrape and structure web data
• Shopping assistance — compare prices, check reviews, make purchases

Developer API

from google.mariner import MarinerAgent

agent = MarinerAgent()

task = """
Go to flights.google.com, search for round-trip flights
from Delhi to San Francisco departing June 15, returning June 25.
Find the cheapest non-stop option and save it.
"""

result = agent.run(task)
print(f"Found: {result.flight.price} - {result.flight.airline}")

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Gemma 3: Open-Source Models

Google released Gemma 3, the latest in its family of open-weight models. Available in 2B, 7B, 27B, and 102B parameter variants.

Gemma 3 Specs

Performance

Gemma 3-27B outperforms Llama 3.1-70B on several benchmarks while being 2.5x smaller:

Fine-Tuning Gemma 3

from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import LoraConfig, get_peft_model

model = AutoModelForCausalLM.from_pretrained("google/gemma-3-27b")
tokenizer = AutoTokenizer.from_pretrained("google/gemma-3-27b")

lora_config = LoraConfig(
    r=16,
    lora_alpha=32,
    target_modules=["q_proj", "v_proj"],
    lora_dropout=0.1
)

model = get_peft_model(model, lora_config)

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AI in Android Studio

Android Studio received major AI upgrades:

Gemini in Android Studio

• Code generation — generate entire activities, fragments, and composables from natural language
• UI generation — describe a UI in plain English, get Jetpack Compose code
• Bug fixing — one-click fix suggestions with explanation
• Test generation — automatically create unit tests and UI tests
• Migration assistant — automatically migrate to new APIs

Example

// Prompt in Android Studio:
// "Create a Jetpack Compose login screen with email, password fields,
//  a login button, and a progress indicator"

// Generated:
@Composable
fun LoginScreen(onLogin: (String, String) -> Unit) {
    var email by remember { mutableStateOf("") }
    var password by remember { mutableStateOf("") }
    var isLoading by remember { mutableStateOf(false) }

    Column(
        modifier = Modifier
            .fillMaxSize()
            .padding(24.dp),
        horizontalAlignment = Alignment.CenterHorizontally
    ) {
        Text("Welcome Back", style = MaterialTheme.typography.headlineMedium)
        Spacer(height = 32.dp)
        OutlinedTextField(value = email, onValueChange = { email = it }, label = { Text("Email") })
        Spacer(height = 16.dp)
        OutlinedTextField(
            value = password,
            onValueChange = { password = it },
            label = { Text("Password") },
            visualTransformation = PasswordVisualTransformation()
        )
        Spacer(height = 24.dp)
        Button(
            onClick = { isLoading = true; onLogin(email, password) },
            enabled = !isLoading
        ) {
            if (isLoading) CircularProgressIndicator()
            else Text("Sign In")
        }
    }
}

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Veo 3: Video Generation

Veo 3, Google's latest video generation model, can create:

• 60-second HD videos from text prompts
• Consistent characters across scenes
• Multiple camera angles
• Background music generation

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Other Notable Announcements

NotebookLM Plus

• Pro features: longer audio summaries, team sharing, API access

Google AI Studio Updates

• Free Gemini 2.0 Pro access with 60 requests/minute
• Built-in evaluation suite for model comparison
• One-click deployment to Vertex AI

Project Astra

• Real-time multimodal assistant for Google Glass-like AR
• Available in Google Maps and Lens

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The Bottom Line

Google I/O 2026 showed that Google is all-in on AI. Gemini 2.0 Pro is a genuine competitor to GPT-5 and Claude 4 Opus, Gemma 3 brings open-source AI to new heights, and Project Mariner signals Google's ambition in the AI agent space. For developers, the biggest takeaway is the breadth of Google's AI platform — from edge (Gemma 3-2B) to cloud (Gemini 2.0 Pro) — and the deep integration across Android, Chrome, and Google Cloud.