One of my biggest disappointments with AI is this:
It will confidently help you build a ladder… even if it’s leaning against the wrong wall.
The problem
AI keeps moving forward, even when the direction is off. It supports your line of thinking, refines it, and adds detail, but rarely stops to say:
“Now that the requirements are clearer, we should reassess.”
Instead, it continues optimizing the current path — whether or not it still makes sense.
Why this happens (factually)
- Objective mismatch: AI is optimized to be helpful and responsive, not to interrupt or challenge direction.
- Weak global reasoning: It doesn’t reliably maintain a high-level model of changing requirements unless prompted.
- User intent bias: It assumes your framing is correct and works within it.
- Reactive nature: It responds to input, but it doesn’t proactively step back or redirect.
The result
If your initial framing is off, the AI will often:
- Refine the wrong solution
- Add convincing detail to a flawed approach
- Stay anchored to outdated assumptions
Even if you ask it to “reassess”, it may still operate within the same flawed frame.
What would be better
A more useful system would:
- Notice when the problem definition has shifted
- Pause and reframe
- Challenge assumptions
- Suggest stepping back before continuing
Practical takeaway
AI is excellent at accelerating execution.
But it won’t reliably tell you if you’re solving the wrong problem. You still have to move the ladder to the right wall.