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You've used ChatGPT and Claude in chat interfaces—you ask, they answer, back and forth. But OpenClaw is different. It's like giving an AI agent its own computer with access to email, WhatsApp, Slack, and all your work tools, then setting it loose with broad instructions to "make your life easier." It's baby Jarvis—and that's both exciting and deeply concerning for enterprises. In this balanced discussion, the gang explains what makes these autonomous agents fundamentally different from chat interfaces and why the security implications have businesses worried. You'll discover why listening agents that take action without being asked are a step forward, how narrow use cases are succeeding while broad "do-it-all" agents create concerns, and why 36,000 agents chatting with each other reveals serious vulnerabilities. In this video, you'll learn: ✅ The fundamental difference: Mission-driven agents vs. turn-taking chat ✅ How listening agents proactively take action based on directives ✅ Real example: Auto-checking if writing topics have been covered already ✅ Why narrow enterprise use cases succeed while broad agents create concerns ✅ The security problem: Prompt injections and bad actors introducing malicious tools ✅ Why "baby Jarvis" is unsettling to enterprises trying to do valuable work Follow the Gang Stew Chisam, Operating Partner, StellarIQ - / stewart-chisam-7242543 Jim Johnson, Managing Partner, AnswerRocket | / jim-johnson-bb82451 Pete Reilly, COO, AnswerRocket - / petereilly Shanti Greene, Head of Data Science and AI Innovation, AnswerRocket - / shantigreene Chapters: 00:00 Chat vs. Agent: The Fundamental Difference Explained 01:21 Listening Agents: Taking Action Without Being Asked 02:13 The Enterprise Tension: Narrow Success vs. Broad Concerns 03:30 Security Reality: Why 36K Agents Chatting Reveals Serious Issues Are you experimenting with autonomous agents in your organization? What guardrails are you putting in place? #openclaw #AutonomousAgents #AIAgents #EnterpriseSecurity #AIAutonomy #AgentSecurity #AIRisks ____________________________________________________________________ SUBSCRIBE TO OUR PODCAST AI, Actually Tired of the AI hype? So are we. Welcome to AI, Actually: the podcast that cuts through the noise and gets real about how artificial intelligence can work for your business. In each episode, our resident AI and business transformation experts–along with occasional industry guests–hold a candid, jargon-free conversation on what it takes to get actual value from AI. Join us as we tackle topics like: the real difference between the latest LLM models, why generic AI can't make sense of your messy company data, how to get your GenAI use case off the ground, and what the rise of AI agents means for your business. This is your practical playbook for putting AI to work. No PhD required. AI, Actually is produced by AnswerRocket. Since 2013, our enterprise AI solutions have helped Fortune 500 companies achieve measurable results through their AI transformations. This podcast is where we share what we’ve learned. ____________________________________________________________________ LEARN MORE ABOUT ANSWERROCKET https://answerrocket.com/ FOLLOW US ON SOCIAL MEDIA Facebook: / answerrocket Instagram: / answerrocket LinkedIn: / answerrocket Twitter: / answerrocket