Most AI conversations focus on better models, better prompts, productivity, or which jobs AI might replace. Those are important conversations, but I think we’re overlooking an even bigger opportunity. How do we use AI to create more capable humans? History suggests that new technologies don’t eliminate the need for expertise, but they do change what expertise looks like. If AI handles more routine work, then human value increasingly comes from judgment, creativity, leadership, ethics, communication, and the ability to evaluate AI’s output. That means AI literacy shouldn’t just teach people how to use AI. It should teach people how to grow because of AI. AI should reduce busywork while preserving the cognitive work that builds expertise. Because here’s what I think: AI will change how we become experts. It shouldn’t eliminate the need for expertise. Every profession will still need experts. Doctors to evaluate diagnoses. Engineers to evaluate designs. Teachers to evaluate learning. Lawyers to evaluate legal reasoning. Scientists to evaluate discoveries. As AI becomes more capable, human expertise becomes more valuable because someone still has to ask the right questions, understand context, make difficult tradeoffs, and remain accountable for the outcome. To me, that’s what AI literacy should be about. Not learning prompts, but learning how to become the master of your work while using AI as a tool. So here’s the question I’d love to hear people’s thoughts on: If AI keeps getting smarter, how do we prepare the next generation to master their own thinking? submitted by /u/Leading-Preference84
Originally posted by u/Leading-Preference84 on r/ArtificialInteligence
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