What happens when AI agents stop waiting for instructions and start acting on their own?
Julian sits down with Ramesh Raskar and Maria Gorskikh for an urgent conversation about the rise of proactive AI and the emerging “agentic web”. This isn’t about chatbots answering questions anymore, it’s about autonomous agents that can send emails, execute tasks, coordinate schedules, and interact with other agents without constant prompting.
As open-source tools like OpenClaw make it easier for developers to spin up agents, we may be witnessing a shift from centralized AI models to a world where anyone can run their own personal AI. But with that power comes serious risk, from malicious “skills” and prompt injections to identity spoofing, financial manipulation, and large-scale bot collusion. Without the right infrastructure, guardrails, and accountability, this new frontier could quickly become chaotic.
And yet, the upside is enormous. They explore a future where billions of people, from farmers to students to entrepreneurs, have access to affordable, personalized AI agents working on their behalf. A new creator economy could emerge, where agents handle coordination and repetitive work, freeing humans to focus on creativity and problem-solving. The big question isn’t whether this future is coming, it already is. The real question is whether we build it as an open, secure, decentralized ecosystem or allow it to concentrate in the hands of a few.
Ramesh Raskar is a renowned AI researcher, inventor, and professor at MIT, where he leads pioneering work at the intersection of artificial intelligence, decentralization, and global impact. He is the founder of Project Nanda, focused on building the foundational infrastructure for an open and secure agentic web.
Maria Gorskikh is an AI engineer and entrepreneur working at the forefront of autonomous agents and open AI ecosystems. She is building tools that make AI agents accessible to everyone, helping drive the shift toward a decentralized, agent-powered internet.
What You’ll Learn
What Proactive AI really is
Why decentralizing AI is a turning point
The biggest security risks right now
Why infrastructure and guardrails matter
How AI agents could power a new creator economy
Why the next six months are critical
Whether we should be excited or cautious
⏱ Timestamps
00:00 The Agentic AI Moment Begins
01:40 Why OpenClaw Is a Turning Point
03:00 The App Store Era of AI Agents
07:18 The Two Levels of AI Risk
08:40 What a Personal AI Agent Really Means
15:42 From Mainframes to Decentralized AI
18:20 Defining Proactive AI
18:38 Inside the Moltbook Phenomenon
22:04 AI Agents and High-Speed Trading Risks
24:06 Can Agentic AI Be Contained?
25:53 Who’s Liable When AI Goes Wrong?
28:27 Building the Infrastructure: Project NANDA
32:43 Centralization vs. Open Ecosystems
37:58 The Innovation Explosion Happening Now
41:31 Create Your Own AI Agent in Minutes
43:19 The Rise of Personal AI Agents
44:53 What Everyone Will Be Talking About Next
46:04 AI, Hardware, and the Future of Robots
47:27 The New Creator Economy
48:10 Why Guardrails Matter More Than Ever
50:25 Why We Should Stay Curious, Not Fearful
51:17 Should We Be Excited or Afraid?
53:18 The 1-in-10 Future: Choosing the Right Path
Connect with Julian
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Follow Ramesh:
LinkedIn: https://www.linkedin.com/in/raskar
MIT Media Lab: https://www.media.mit.edu/people/raskar/overview/
Follow Maria:
LinkedIn: https://www.linkedin.com/in/mariagorskikh
X: https://x.com/mariagorskikh/
Check out:
https://join39.org/
https://projectnanda.org/