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As we offload our cognitive labor to machines, are we inadvertently erasing the 'road to expertise' and deskilling the very traits that define high-level thinking? Topics discussed: The Hidden Cost of Deskilling: Why human proficiency and cognitive involvement decline when we outsource mental tasks to external systems. The "Levelling" Illusion: How GenAI allows users to perform at a high level without actual domain mastery, effectively breaking the ladder to expertise. The Multiplier Effect: Why the biggest performance boosts are reserved for those who already possess the skills to critically evaluate and edit machine output. AI as a Cognitive Amplifier: A three-stage framework—Foundational Fluency, Application, and Active Engagement—to ensure technology extends thinking rather than replacing it. 00:00 Introduction to AI in Learning 00:32 Negative Impacts of AI on Cognition 01:55 Understanding De-skilling with AI 04:01 Smartphones and Cognitive Patience 06:09 Digital Distractions and Memory 07:42 Risks of Cognitive Offloading to AI 10:56 AI's Impact on Worker Skills 17:28 AI as a Productivity Multiplier for Experts 21:04 Mass De-skilling Risks with AI 25:06 Practical AI Use vs. Cognitive Laziness 27:26 Enhancing Thinking with AI 28:24 AI for Foundational Fluency 29:49 Deeper Engagement and Analysis with AI 30:22 Cognitive Ladder Model for AI Use