LLMs are pattern matchers, humans are pattern breakers

Your AI can spot broken patterns.
Here's where you're still the genius.

It can read 10,000 customer comments and flag the weird ones.
But it still can't tell you if those anomalies are threats, opportunities, or just Tuesdays.

Daniel Pink recently posted about a 2004 study: People shown weird, broken patterns scored way higher on creativity tests. Our brains light up when patterns break. AI can’t make those creative leaps.

Researchers at Apple found that LLMs break when they face the unexpected. Change "Sarah" to "Oliver" in a math word problem? Accuracy drops 10%. Add "Oliver’s favorite color is blue"? Accuracy drops 65%.

AI can spot anomalies.
But can't interpret them. 
Can't make the leap from "weird data point" to "billion-dollar insight."

That's your edge.

AI surfaces the 50 strange customer comments. 
You know which one is your next product and which ones are trolls.

AI flags contradictory market data. 
You recognize the inflection point everyone else will see in six months.

AI finds users who behave differently. 
You understand why—and what it means.

This may matter more than you think.
Your competitor's AI found the same anomalies yours did. 
They're looking at the same data. 

The winner isn't who has better AI. 
It's who understands what the weird stuff means.

As AI gets better at finding patterns and breaks, human interpretation becomes MORE valuable, not less.
Everyone has access to the same pattern-spotting tools. 
Your ability to connect patterns to something you saw before in a completely different context?
That's your edge.

What broken pattern showed up in your data this week that you're still trying to figure out?