This is one of the most important distinctions in how we think about AI.
A wrong answer can eventually reveal itself. A good answer to the wrong question is far more dangerous because it creates momentum, confidence, and the illusion of progress.
The line that stayed with me most is that AI can make the wrong direction incredibly productive. That is exactly why judgment has to come before execution. The faster the tools become, the more responsibility shifts back to the person defining the problem.
AI can challenge our thinking — but only if we are willing to let it challenge the premise, not just improve the output.
This is one of the most important distinctions in how we think about AI.
A wrong answer can eventually reveal itself. A good answer to the wrong question is far more dangerous because it creates momentum, confidence, and the illusion of progress.
The line that stayed with me most is that AI can make the wrong direction incredibly productive. That is exactly why judgment has to come before execution. The faster the tools become, the more responsibility shifts back to the person defining the problem.
AI can challenge our thinking — but only if we are willing to let it challenge the premise, not just improve the output.
Thanks for weighing in on this Agnes, it’s an issue that isn’t going away