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I’ve walked into boardrooms where the energy is high, the budgets are approved and the ambition is clear. Everyone is talking about AI. Very few can answer the one question that actually matters.
Not “What can we build with AI?”
Not “How do we keep up with competitors?”
But this: What problem are we actually trying to solve, and for whom?
The question sounds simple. It isn’t.
It forces precision in environments that reward momentum. It shifts the conversation from excitement to accountability. And it quickly exposes whether you are building something meaningful—or simply reacting to noise.
Why clarity breaks down inside organizations
In the absence of a clear signal or validation, the mind fills in the gaps. Teams convince themselves they are right before anything has been proven. Leaders greenlight direction before the problem has been fully defined.
That’s where expensive mistakes begin.
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