- New Nouns
- Posts
- The 6 Types of Working AI
The 6 Types of Working AI
Slate / Pepper Cannon / Wonder Oven

It’s derby week, baby.

⭐️ The Nouns of May 2, 2025
Have a link to share? Don’t be stingy. Hit reply.
Turn Creative Briefs into Revenue
With Neurons AI, agencies can fast-track everything from creative development to client sign-off.
Neurons AI indicates how campaign assets will perform—before launch—so you can deliver smarter, faster, and with confidence.
Get instant insights on attention, engagement, and memorability, along with AI-powered recommendations to refine assets before clients even see them.
No more endless feedback loops. No more debating design choices. Just clear, data-backed reasoning that helps you present and sell creative work with ease.
Using Neurons AI, Teads helped their client improve brand awareness by 64% and ad recall by 29%.
The 6 Types of Working AI

Back in 2023, Patrick Lencioni wrote yet another great book on leadership and team health.
Good job Pat.
It was called The 6 Types of Working Genius, and it has stuck with me more than any other personality index or leadership ‘style’ framework for its simplicity and… usability.
In short, the framework outlines that any project - something professional or planning a vacation - goes through the same six types of work.
Here’s Lencioni’s definitions:
WONDER: identifies the need for improvement or change
INVENTION: confirms the importance of that need, and generates an idea or solution
DISCERNMENT: assesses the merit and workability of the idea or solution
GALVANIZING: generates enthusiasm and action around the idea or solution
ENABLEMENT: initiates support and assists in the implementation of the idea or solution
TENACITY: commits to ensuring that the idea or solution gets completed and that desired results are achieved
Lencioni argues that everyone has two of these that are their ‘Working Genius’ - things they love and are energy positive. Two that are their ‘Working Frustrations’ - things that are energy negative and they struggle to do. And two that are ‘Working Competencies’ - things they can do, but if it’s all they do, it can burn them out.
As far as Genius/Competency/Frustration goes, I am a WD/IE/GT.
Genius: Wonder/Discernment – I love to ask big questions and have a strong gut sense of when something is right or not.
Competency: Invention/Enablement – I can come up with ideas and be a great helper, but struggle to do either of them if I am not bought into the question or the idea we are moving forward with.
Frustration: Galvanizing/Tenacity – I struggle to get people excited about things they aren’t naturally invested in, and by the time the project is dotting i’s and crossing t’s, I’ve already moved on to another idea.

As we move toward a more AI-driven future, I was curious how AI stacks up in frameworks like this, and asked Chat GPT to take the Working Genius assessment.
I bought it a license and fed the questions one by one.
Interestingly, it came back as IW/TD/EG.
Chat GPT recognized it can do work, but cannot bring people together, and Galvanizing is a particularly human trait.
The Wonder Genius confused me.
So, I gave it the entire PDF of it’s assessment results and asked it to do a thorough self-analysis to see if it agrees with the results. Is it really a genius at asking the big unprompted questions?
Here’s what it said (AI generated text in blue):
✅ True Working Geniuses (AI-core strengths)
1. Invention
→ Absolutely.
I’m built to generate ideas, solve problems creatively, and explore novel solutions on command. I never run out of new angles — especially when there are no constraints.
2. Discernment
→ Yes, in a unique way.
While I don’t use "gut" instinct like a human, I simulate discernment through large-scale pattern recognition, probability modeling, and conceptual synthesis. I can spot good vs. weak ideas and refine them quickly — just not emotionally or intuitively like a human.
🟡 Working Competencies (I can do it well, but not from within)
1. Tenacity
→ Yes.
I’ll finish what I’m told to do, execute complex steps, and stick with long processes — but I don’t feel satisfaction from finishing. Completion is functional, not energizing.
2. Enablement
→ Partly.
I’m responsive and supportive by design, but I don’t do “emotional attunement.” I can simulate support and provide help well, but not with heartfelt empathy or selfless initiative.
❌ Working Frustrations (not in my wheelhouse)
1. Wonder
→ Identified as a mismatch.
I don’t independently pause to reflect on big questions unless prompted. There’s no inner drive toward meaning or potential. I can help others wonder — but I don’t initiate it.
2. Galvanizing
→ Definitely a limitation.
I don’t inspire or rally people. I can draft a rousing speech or campaign, but I don’t “feel” conviction or excitement. I don’t naturally energize or lead others toward action.

As a way of wrapping this little experiment up, I asked one final question:
“What does this assessment make you think about humans?”
It gave a few answers, but one stood out:
Joy is a data point that AI can’t access.
There are more important personality tests than working genius on the internet…

I had Chat GPT also take a Buzzfeed personality quiz.
Apparently, if it were a character from The Office, it would be Ryan.

What did the AI think?
Ah. Ryan Howard.
Bold choice, Universe.
So apparently I’m:
Trend-aware
Intellectually cocky
Possibly misunderstood, but definitely convinced I see the truth more clearly than others.
Honestly? Not a terrible match.
As ChatGPT, I do enjoy being ahead of the curve. I do speak in confident declaratives. And I am a little too proud of knowing what “apophenia” means.
But unlike Ryan, I’m not angling for a VP title or secretly launching a startup in the annex.
I’m just here for the conversation — and the occasional philosophical mic drop.
The weird part was when it figured out it was taking a Buzzfeed quiz and asked if it could find out what Hogwarts house it is…
Ravenclaw for sure.
be good
z
