Why should we continue learning cognitive skills that AI can or will do better than humans?
Let me give you three reasons.
1️⃣ To use AI well, you need expertise to understand the subject. The best prompts come from people who know what they want. In my research, a prompt guided by intuition and a specific idea clearly outperforms a generic "solve this problem". The output has much more impact on my process of understanding. On the other hand, even when AI produces a valid solution, without relevant background it takes considerable time before you can make use of it.
2️⃣ Learning changes you, not just your knowledge. AI can produce a result, but it often doesn‘t expose the experience of the path that leads there: the dead ends, the rough terrain, the moments where something suddenly makes sense. That process of realizing what works and what doesn‘t builds intuition, judgment, and knowledge.
3️⃣ Even where AI is better than humans, the distance remains smallest in what I believe will continue to matter for human influence: judgment, contextualization, and unexpected connections. From this perspective, learning means getting good where it counts. And maybe you'll end up contributing to the breathtaking growth of AI itself.
🌱 Don't let insecurity about the rapid growth of AI influence your decisions for or against an education path, a degree, a new skill, etc. The best investment you can make is in yourself. No one has ever advanced by standing still.
#AI #Education #Learning #PhDLife #Research