What Micah Parsons and AI Have in Common (and Why It Matters)

Micah Parsons joined Green Bay 8 days ago with a bad back. He won't save them Sunday. But when he learns the system? He'll be a fucking monster. Same with AI - most people are slower with it now. But when it clicks? Holy shit. The smart ones are investing in the learning curve NOW.

What Micah Parsons and AI Have in Common (and Why It Matters)
Micah Parsons being introduced as a Green Bay Packer

NFL season kicked off last night, but for most of us it really starts Sunday - and I can't wait to watch my Lions take on the Packers at Lambeau.

But here's what's got me thinking:

Micah Parsons - who the Pack just traded Kenny Clark and TWO first-rounders for - has been with Green Bay for exactly 8 days.

Eight. Days.

Is this $47M/year defensive superstar going to demolish my Lions' O-line on Sunday?

Honestly? Probably not.

Not because he isn't elite. But because he doesn't know Green Bay's defensive schemes yet. Hasn't built chemistry with his teammates. Doesn't know the calls, the adjustments, the tendencies.

Give him a few games though? Different story.

By mid-season? Absolute terror.

That's why you pay $47M - for what he'll become once he learns the system. (And that's bad news for my Lions.)

This is EXACTLY what's happening with AI right now.

I just came across this study showing experienced developers got 19% SLOWER using AI tools.

And here's the wild part - they still THOUGHT they were faster.

I know some people are hoping this proves AI is just hype. That it's all a mirage.

Wrong takeaway.

They just haven't learned the playbook yet.

Here's what nobody's talking about:

The learning curve isn't about mastering the tools. It's about changing HOW you think.

When I started with AI? I was asking the same old questions, just typing them into ChatGPT instead of Google. 😅

Total rookie move. Like asking Micah to run his old Cowboys stunts in Green Bay's system.

The breakthrough comes when you learn to think differently:

→ Stop asking "how do I code this?"
Start asking "what am I trying to achieve?"

→ Stop thinking in tasks.
Start thinking in outcomes.

→ Stop protecting old workflows.
Start exploring what's possible.

Ultimately, I'm learning to ask BETTER questions.

Complete game changer. 🚀

This week I'm deep in Claude and Notion. Last week? Ideogram, Midjourney, Kittl, Adobe Illustrator. Next week? Probably n8n and Airtable.

The tools keep evolving. But once you change how you think? You can dance with any of them.

OpenAI just announced AI certifications yesterday.

Why? Because there's a learning curve. Just like there's a learning curve for elite athletes in new systems.

Here's the reality check:

Micah won't save the Packers on Sunday. He's still learning the playbook. Plus, dude's dealing with a back issue that apparently needs an epidural just to play.

But assuming the Packers aren't complete morons and actually take care of him?

In a few weeks, when he knows every stunt, every call, every adjustment? When he's in sync with his teammates and that back is managed?

Holy shit. He's going to be a fucking monster.

Same with AI. Right now, most people are fumbling with it, getting worse results than before. But the ones who push through the learning curve? The ones who change how they think?

They're about to blow everyone else away.

The Packers know what they bought - not Week 1 dominance, but mid-season terror (if they're smart about that back).

Most people using AI don't get this yet. They expect magic on day one.

The smart ones? They're investing in the learning curve now.

Because when it clicks - for Micah AND for AI - holy shit.

Go Lions! 🦁

(Let's hope that back is barking on Sunday)