Lately, I've been diving deeper into mental models and how they support innovation and its adoption. In my view, it’s an underexplored topic yet extremely relevant now that AI is breaking through everywhere.
After inversion, the second model I'd like to share is: first principles thinking.
The idea is simple: strip a problem back to its fundamentals and build something new from there. Instead of blindly following your assumptions, ask yourself: "What do we actually know?"
Instead of asking, "How do we normally do this?"
A better question is: "What is this, really? Why do we do it this way? Does it actually have to be this way?"
If you apply this to your own situation, you quickly end up with questions like:
In many companies where innovation or its adoption stalls, you see the same root causes:
Instead of asking how to do something better, consider this: what is fundamentally true and what could we start doing completely differently from now on?
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