Got into a debate after someone posted about machine learning making "decisions." Here's why that fundamental misunderstanding kills businesses.
Here's my take: Machine learning doesn't make decisions - it makes predictions based on historical data.
Data shaped by flawed systems. Systems shaped by people with blind spots and biases.
When you let AI "decide" for your business, you're outsourcing strategy to yesterday's patterns.
The reality is, high achievers do the opposite. They import their own principles and decision-making frameworks into their systems.
They use AI to stress-test their thinking, not replace it.
AI should streamline decisions you've already validated, not make new ones for you.
Let me be honest: Asking AI to "find gaps in the market and create solutions" is a recipe for failure.
You're essentially saying "I don't understand my market well enough to know what problems exist."
Start with humanized systems, THEN transition to AI amplification.
This is the "leverage delusion" in action - using powerful tools without understanding the fundamentals.
Prompt engineering isn't just about crafting better requests. It's about knowing what data points matter, how to categorize them, and when human intervention is required.
The companies winning with AI aren't the ones delegating strategy to algorithms.
They're the ones who built solid decision-making frameworks first, then used AI to execute those frameworks faster and more consistently.
Systems thinking beats speed every time.
Hope you found this valuable! :)