Google AI in March 2026: Gemini 2.5, NotebookLM Updates, and More

Overview

March 2026 was a landmark month for Google AI. Across its products and research divisions, Google shipped significant upgrades — from a new frontier model to expanded creative tools and deeper developer integrations.

Gemini 2.5 Pro

The headline release was Gemini 2.5 Pro, Google's most capable model to date. Highlights include:

• 1M token context window — suitable for entire codebases or long documents
• Improved reasoning and coding benchmarks, surpassing previous state-of-the-art on HumanEval and MMLU
• Native multimodal understanding across text, images, audio, and video
• Available via Google AI Studio and Vertex AI

# Quickstart with the Gemini API
pip install google-generativeai

import google.generativeai as genai

genai.configure(api_key="YOUR_API_KEY")
model = genai.GenerativeModel("gemini-2.5-pro")
response = model.generate_content("Explain transformer attention in plain English.")
print(response.text)

NotebookLM Upgrades

NotebookLM received several quality-of-life updates:

• Audio Overviews now support 50+ languages
• Inline citations link directly to source passages
• Shared notebooks — teams can collaborate on a single knowledge base
• Notebook size limit raised to 50 sources (up from 20)

Veo 2 — Video Generation

Veo 2, Google DeepMind's video generation model, became available to more users through VideoFX. New capabilities:

• Up to 4K resolution output
• Camera control prompts (dolly-in, crane shot, rack focus)
• Extended clip length up to 60 seconds
• Improved physical realism and temporal consistency

Google AI Overviews in Search

AI Overviews (the AI-generated answer summaries in Google Search) expanded to:

• 200+ countries globally
• Added follow-up question threading
• Grounded citations now show publisher logos for credibility

Developer Tools

For developers, March brought:

• Gemini Code Assist updates in VS Code and JetBrains IDEs — agentic code editing, multi-file context
• Firebase Genkit 1.0 GA — production-ready framework for building AI-powered apps in Node.js and Go
• Agent Garden — a new open-source collection of Gemini-powered agent starter templates

What This Means for Developers

The 1M context window in Gemini 2.5 Pro is particularly significant for developers. Use cases that were previously impractical — like passing an entire monorepo to a model for refactoring suggestions — now become feasible. Pair this with the Code Assist IDE integrations and Firebase Genkit for a complete AI-augmented development workflow.

Summary

Google's March 2026 releases reinforce its strategy of embedding AI across every product layer — from consumer tools like Search and NotebookLM to developer infrastructure like Vertex AI and Firebase.