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What happens when AI agents start negotiating, automating workflows, and rewriting how the enterprise world operates?

In this episode of the Eye on AI podcast, Will Grannis, CTO of Google Cloud, reveals how Google is leading the charge into the next frontier of artificial intelligence: agentic AI. From multi-agent systems that can file your expenses to futuristic R2-D2-style assistants in real-time race strategy, this episode dives deep into how AI is no longer just about models—it's about autonomous action.

In this episode, we explore:

How AgentSpace is transforming how enterprises build AI agents
The evolution from rule-based workflows to intelligent orchestration
Real-world use cases: expense automation, content creation, code generation
Trust, sovereignty, and securing agentic systems at scale
The future of multi-agent ecosystems and AI-driven scientific discovery
How large enterprises can match startup agility using their data advantage

Whether you're a founder, engineer, or enterprise leader—this episode will shift how you think about deploying AI in the real world.

Subscribe for more deep dives with tech leaders and AI visionaries.

Drop a comment with your thoughts on where agentic AI is headed!

(00:00) Preview and Intro

(02:34) Will Grannis’ Role at Google Cloud

(05:14) Origins of Agentic Workflows at Google

(09:10) How Generative AI Changed the Agent Game

(12:29) Agents, Tool Access & Trust Infrastructure

(14:01) What is Agent Space?

(16:30) Creative & Marketing Agents in Action

(23:29) Core Components of Building Agents

(25:29) Introducing the Agent Garden

(28:06) The “Cloud of Connected Agents” Concept

(33:53) Solving Agent Quality & Self-Evaluation

(37:19) The Future of Autonomous Finance Agents

(40:55) How Enterprises Choose Cloud Partners for Agents

(43:50) Google Cloud’s Principles in Practice

(46:27) Gemini’s Context Power in Cybersecurity

(49:50) Robotics and R2D2-Inspired AI Projects

(52:39) How to Try Agent Space Yourself

How to Intentionally Listen: Kevin and Marcia Myers