The perfect AI system is a mirage.
It shimmers in the distance, promising flawless decisions, zero errors, and complete stakeholder buy-in. But like all mirages, it keeps moving further away the closer you get.
Meanwhile, your competitors are building. Learning. Failing. Growing.
They’re not waiting for perfect. They’re embracing “good enough for now.”
Here’s the thing about AI: It’s not about getting it right the first time. It’s about getting it started. About creating a learning system that gets smarter with each iteration.
Every day you wait for perfect is a day of data you’ve lost. Of insights you’ve missed. Of improvements you could have made.
The most dangerous decision in AI isn’t choosing the wrong approach.
It’s choosing not to decide.
Your first AI implementation will be flawed. Embrace it. Your second will be too, but better. That’s the point.
Perfect isn’t just the enemy of good.
It’s the enemy of better.
Start small. Start now. Start learning.
Because while you’re planning your perfect AI strategy, someone else is already on version 2.0 of their imperfect one.
And they’re winning.
