AI can generate answers — but it still depends on the questions you ask

MarkDown

I’ve been using AI in my daily work since the OpenAI release in 2023.

Has it made my work easier?

Yes.

I use it to refine writing, analyze customer pain points, and even rethink machine design by feeding in real production scenarios.

But there’s something I’ve been noticing more and more.

AI is very good at generating answers.

What it’s not always good at —
is understanding whether the question itself is right.

In manufacturing, that matters a lot.

Because many problems don’t come from a lack of solutions.
They come from misdiagnosing the problem.

If the input is slightly off,
the output can be completely convincing — but still wrong.

So the real gap is shifting.

It’s no longer just about who can produce answers faster.

It’s about who understands the situation deeply enough to ask the right questions.

AI amplifies capability.

But it also amplifies mistakes.

Curious how others are seeing this — especially on the production side.