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Learning AI Is a Waste of Time?

In this video, we step back and ask a much deeper question: Why should you really learn AI? Most engineers treat AI like a resume upgrade. A career hack. Another skill to stay employable. But that is a tragic underestimation of what this field actually represents. Learning AI is not just about getting a job. It changes how you think. It forces you into probability, statistics, optimization theory, linear algebra, and system design. It trains you to navigate ambiguity, break down chaos into solvable sub-problems, and reason from first principles. When you understand AI deeply, you stop treating it as a black box. Neural networks are no longer mysterious. Scaling laws make sense. Model architecture choices make sense. You gain judgment. And judgment is leverage. You begin to separate signal from noise in AI hype cycles. You can evaluate frontier labs. You can understand whether a breakthrough is real or marketing. You can make smarter capital decisions, smarter career decisions, and smarter strategic bets. AI is not just a technical skill. It is an asymmetric leverage bet for the 21st century. In this, we discuss: • Why AI should not be treated like a CV upgrade • How AI builds multidisciplinary thinking • Why learning AI sharpens first-principles reasoning • How it improves your ability to navigate uncertainty • Why it gives you strategic judgment in an AI-driven world Whether you are an engineer, a leader, or an investor, this video will change how you think about learning AI.