LLMs Are Not the Beginning of AI. Here’s the Truth.| Dr. Sam Li on the Real AI Journey

My guest today is Dr. Sam Lee, Global AI Leader, Board Advisor, and someone who was building AI long before it became the loudest word in business.AI didn’t begin with LLMs. It didn’t start with ChatGPT. And it definitely didn’t start with hype.In this conversation, we go beyond tools and trends. We talk about responsibility, leadership, adaptability, and what it really takes to build meaningful AI systems.In this episode, we discuss:• Why LLMs are not the beginning of AI• The evolution from traditional ML to modern agentic systems• The difference between a Chief AI Officer and Head of ML• Why AI should make life easier, not replace your thinking• What students should actually be learning in the AI eraOne thing that stood out to me personally was this — the hardest AI question isn’t “Can we build it?” It’s “Should we build it?”Dr. Sam also shares insights from working across enterprises, consulting, academia, and boardrooms — giving a rare perspective that connects code, classrooms, and C-suites.If you are a student, an AI professional, a founder, or someone trying to understand where this AI wave is heading — this conversation will help you zoom out and think clearly.Because AI will keep moving fast.The real question is whether our thinking can keep up.📘 Book Recommendation from Dr. Sam:The First 90 Days by Michael Watkinshttps://www.amazon.com/First-90-Days-Strategies-Expanded/dp/1422188612🔎 References Mentioned in the Episode:• Multi-Agent Systems: https://en.wikipedia.org/wiki/Multi-agent_system• ELIZA (early AI chatbot): https://en.wikipedia.org/wiki/ELIZA• Large Language Models (LLMs): https://en.wikipedia.org/wiki/Large_language_model• Responsible AI & Governance (OECD AI Principles) : https://oecd.ai/en/ai-principlesTimestamps00:00 The Journey of AI: From Labs to Boardrooms03:05 Early Career and the Transition to AI06:05 Understanding Multi-Agent Systems08:34 AI in the Business Context10:51 Shaping Decisions in AI Strategy13:05 Misconceptions in Boardrooms about AI15:47 The Role of Chief AI Officer vs. Head of ML19:46 Skills for the Future: What Students Should Learn25:11 The Importance of Adaptability in AI Development26:22 Understanding the Evolution of AI Models28:48 India's Position in AI Leadership31:31 Rapid Fire Insights on AI and Personal Preferences35:22 The Role of AI Governance in InnovationConnect with Dr. Sam Li:https://www.linkedin.com/in/dr-sam-li-weixian-844033baIf this conversation made you pause, question, or rethink how you see AI — that means we did our job.AI will keep moving fast.The real question is whether our thinking can keep up.Let me know your biggest takeaway in the comments.Connect with me here:LinkedIn: https://www.linkedin.com/in/sachin-menon-techsigma-technology/Subscribe for more conversations with global leaders shaping the future of AI and business.