AI's speed combined with young workers' instant-gratification habits creates organizational risk. The speaker argues judgment comes from experience, not training, and warns that AI errors scale fast without critical oversight. Until the next generation develops judgment through learning curves, human review remains essential.
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The challenge is that these tools are providing so much efficiency, right? And this next generation coming in, they're all about that instantaneous gratification, right? They've grown up with smartphones. They have zero patience. They just want to move. So, if they can go and they can use something really quickly and get an outcome, that's their gratification done. I can move on to the next thing now. And the challenge— a great quote at Amazon that Like, one of our best, um, leadership principles I loved at Amazon was, I write a lot, right? Leaders are right a lot. There's a comma, a lot. Um, young kids aren't. They haven't been wrong enough to know when to be right, right? They haven't. So judgment is earned, not learned. And the challenge is you're putting these, these highly efficient, highly scalable tools in the hands of these kids that haven't really learned or earned the judgment to use them at scale, right? Because the problem that you can have is, you know, AI is not perfect, right? It will cast, you know, illusions sometimes. It will give wrong results sometimes. If you don't have that judgment to question what's being produced to you or question how you should use it effectively, that's the big risk for individuals and for organizations right now because The scalability of AI, you do something wrong, it can go very big in a hurry. You can be wrong at scale if you don't use the right judgment around how you're using it. So I think there's a few interesting learning curves that the next generation of talent needs to get through before AI becomes mainstream. So until then, it's all about human judgment. Unfortunately, these kids have the least amount of judgment across the industry cohort right now.
