
"AI is embedded in how we work-and that's a good thing. But AI's fluency can lull us into deferring to it rather than directing it. Using AI well means staying in the driver's seat, and that takes deliberate practice."
"There's a word for that capacity. Judgment. And it's the thing I'm most worried about losing right now. The reason I am worried about it is because I use AI every day. I use it to build applications, develop frameworks, design visual assets, and research what's happening at the edges of the fields I need to understand."
"In raw output, I'm more productive today than a team of 10 would have been five years ago. And it isn't just speed; the work is objectively better. Right now, I'm still one of the early adopters. But pretty soon, this will be the reality in every job. Very few people will have a choice about whether or not they use AI, just as few people get to choose whether they use computers or email or the internet today."
"AI is extraordinarily powerful, but it's powerful in what we might call a generic way. While a generative AI model will be trained on all the insights of all the sciences, all the works of the great artists and the brightest business thinkers, it generally does not and cannot know what matters in your particular situation. It does not know what trade-offs you'd"
AI is integrated into everyday work and can improve productivity and output quality. Reliance on AI can create a risk of deferring to its fluency rather than directing it. Using AI well requires maintaining personal judgment and staying in the driver’s seat. Judgment is described as the capacity to determine what one actually thinks and act on it even when others disagree. AI can accelerate application building, framework development, visual design, research, and stress-testing arguments before sharing them. As AI becomes unavoidable across jobs, the focus shifts from whether to use AI to how to preserve judgment while using it. Generative AI is powerful but generic, lacking knowledge of what matters in specific situations and the trade-offs involved.
Read at Psychology Today
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