AI at Work
86: Using AI at Work to Rethink How We Learn and Build Expertise
AI Summary
In this episode, Panos Siozos, CEO of LearnWorlds, discusses how AI is reshaping workplace learning, emphasizing that while information is abundant, critical thinking and structured understanding are more vital than ever. He warns against cognitive laziness, arguing that friction and effort remain essential for deep learning, and explores how AI shifts notions of authority and credibility. Siozos highlights the role of AI as a supportive tool that can enhance, but not replace, human guidance in building expertise, and offers practical advice for professionals to keep their skills relevant in an AI‑driven world.
Episode Description
Chris Daigle sits down with Panos Siozos, CEO and co-founder of LearnWorlds, to explore how AI at work is changing the way we learn, teach, and build real expertise.
Panos explains why access to information is no longer the challenge and why critical thinking, judgment, and structured learning matter more than ever in an AI-driven world. The conversation breaks down the difference between knowledge and understanding, the risk of cognitive laziness when relying too heavily on AI, and why learning still requires friction, effort, and human guidance.
They also discuss how AI should support learning rather than replace it, how credibility and authority are shifting in the age of generative AI, and what professionals and organizations must do to keep skills relevant as AI accelerates. This episode is a grounded look at using AI at work without losing the ability to think, learn, and grow.
🔎 Find Out More About Panos Siozos and LearnWorlds
Panos Siozos on LinkedIn
https://www.linkedin.com/in/siozos/
LearnWorlds
https://www.learnworlds.com
🛠 AI Tools and Resources Mentioned
ChatGPT
https://openai.com/chatgpt
📌 Chapters
00:00 Introduction to Panos Siozos
02:12 Panos’ background in learning and education technology
05:18 Why learning is not disappearing in the AI era
08:44 Knowledge vs real understanding
12:06 The risk of cognitive laziness with AI
16:22 Why struggle and friction matter in learning
20:35 How AI changes authority and credibility
25:11 Turning expertise into meaningful learning experiences
29:54 Using AI to support, not replace, human learning
35:18 Building premium learning products in the AI age
41:02 Final advice for professionals learning with AI
Show Notes
Chris Daigle sits down with Panos Siozos, CEO and co-founder of LearnWorlds, to explore how AI at work is changing the way we learn, teach, and build real expertise.
Panos explains why access to information is no longer the challenge and why critical thinking, judgment, and structured learning matter more than ever in an AI-driven world. The conversation breaks down the difference between knowledge and understanding, the risk of cognitive laziness when relying too heavily on AI, and why learning still requires friction, effort, and human guidance.
They also discuss how AI should support learning rather than replace it, how credibility and authority are shifting in the age of generative AI, and what professionals and organizations must do to keep skills relevant as AI accelerates. This episode is a grounded look at using AI at work without losing the ability to think, learn, and grow.
🔎 Find Out More About Panos Siozos and LearnWorlds
Panos Siozos on LinkedIn
https://www.linkedin.com/in/siozos/
LearnWorlds
https://www.learnworlds.com
🛠 AI Tools and Resources Mentioned
ChatGPT
https://openai.com/chatgpt
📌 Chapters
00:00 Introduction to Panos Siozos
02:12 Panos’ background in learning and education technology
05:18 Why learning is not disappearing in the AI era
08:44 Knowledge vs real understanding
12:06 The risk of cognitive laziness with AI
16:22 Why struggle and friction matter in learning
20:35 How AI changes authority and credibility
25:11 Turning expertise into meaningful learning experiences
29:54 Using AI to support, not replace, human learning
35:18 Building premium learning products in the AI age
41:02 Final advice for professionals learning with AI
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