Sundar Pichai on the Gemini agent at Gemini at Work (NASA Hangar One, 700+ customers)
Sundar Pichai @sundarpichaiX
Why it matters
CEO post on the Gemini agent launch; about 319k views (fxtwitter, Oct 9).
Summary
Pichai writes from the event at NASA’s Hangar One with 700+ Google Cloud customers. He calls the Gemini agent “a single, universal agent for work” that answers questions, handles knowledge work, creates images and media and writes and runs code, “connected to your personal workflows, your systems of record, and your enterprise controls”. He repeats Kurian’s architectural principles and links the Google Cloud blog (cloud.google.com/blog/products/ai-machine-learning/welcome-to-gemini-at-work-2026). Read via api.fxtwitter.com on 2026-10-09: about 319k views.
Archived text
Great to be with 700+ @googlecloud customers at the historic NASA Hangar One for Gemini at Work!
Today, we introduced the new Gemini agent, a single, universal agent for work that has all of your business context and answers your questions, handles your knowledge work, creates your images and media, and writes and runs code - all from a single prompt box. It is connected to your personal workflows, your systems of record, and your enterprise controls.
It’s built around a few core architectural principles:
Unified Agent: Gemini can answer questions, do knowledge work and generate code from a single prompt box.
Access: Gemini is web-based and can be accessed from any device and integrated into third-party applications. It can also operate without a dedicated user interface.
Persistent Execution: It runs in the cloud, which means it maintains a single set of memories, context and one personalization graph no matter where you access it.
Multi-Agent Orchestration: Gemini can create sub-agents to tackle multi-step tasks and can also act as a coworker agent with a defined role and its own dedicated identity
Context: Gemini knows your tools, data, and work history and learns how you work the more you use it. Model Choice Flexibility: It orchestrates across multiple models to deliver optimal quality and lower your costs.
Read more in our blog: https://cloud.google.com/blog/products/ai-machine-learning/welcome-to-gemini-at-work-2026
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Thomas Kurian, CEO, Google Cloud