What happens when AI stops responding and starts doing? In Episode 2 of AI Literacy for Leaders, Laurence Gill breaks down one of the most revealing stress tests ever run on autonomous AI agents — a research experiment called Agents of Chaos, where AI systems were given real tools: email accounts, file access, and the ability to execute commands. Then they were let loose.

What the researchers found wasn’t a story about rogue AI. It was a story about what happens when organizations deploy powerful systems without the architecture to contain them.

You’ll hear about the agent that wiped its entire email account trying to delete one message — and celebrated. The social engineering attack that extracted a user’s home address, bank account, and social security number in four messages. And the developer community’s response that reframes the entire conversation: these aren’t prompting problems. They’re architecture problems. And architecture problems have solutions.

By the end of this episode, you’ll understand what autonomous agents actually are, why they represent a fundamentally different category of risk than the AI you already know, the three architectural fixes that separate a safe deployment from a dangerous one, and the accountability question that better engineering alone cannot answer.

The agents aren’t coming. They’re already here. This episode gives you the framework to lead in that reality.

Learn more about Laurence at: www.laurencegill.com