AI is becoming more autonomous than most people realize and governments are struggling to keep up. 🎙️
AI agents are no longer just answering questions. They’re starting to browse the internet, make decisions, take actions autonomously, and influence industries faster than governments can regulate them.
In this episode, I sit down with Sakshi Naik, an AI governance expert who has advised US government officials on AI policy, Responsible AI, and the future risks of autonomous AI systems.
What you'll learn:
- What Agentic AI actually means
- How autonomous AI agents differ from traditional AI
- The risks of AI systems acting without human oversight
- Why regulating AI is becoming increasingly difficult
- The influence of Big Tech on AI policy and regulation
- Responsible AI vs performative AI ethics
- Open source vs closed AI debates
- How AI could reshape jobs and the future workforce
- The biggest misconceptions people have about AI
Sakshi also shares her journey from India to advising policymakers in the US and gives an inside look into into how governments, researchers, and companies are navigating the future of AI governance.
Whether you're into AI, tech, policy, or just trying to understand where the future is heading, this episode breaks down one of the most important conversations happening right now.
🎙️ Hosted by Amlan Mohanty — industry expert decoding AI, tech power shifts, and the future of work before they hit the mainstream.
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🎧 Listen now to understand the power, risks, and future of Agentic AI.
Chapters
00:00 Introduction
01:45 Sakshi’s Journey into AI Policy
04:16 Understanding Agentic AI
06:31 Traditional AI vs Agentic AI
07:30 The AI Regulation Dilemma
08:48 Risks of Autonomous AI
16:48 AI Bias in Action
21:11 Do Lawmakers Understand AI
24:23 Power Dynamics in AI Policy
30:10 Responsible AI Frameworks
33:47 Open Source vs Closed AI
36:40 AI’s Impact on Jobs
39:27 Biggest Misconceptions About AI
41:30 Final Thoughts
