AI Fluency Is Not Optional Anymore
The practical skills every professional needs to save time, expand their capabilities, and stay relevant as AI becomes part of the business substrate
Some Top AI Questions from the Community
A member of my Labor/Zero Skool community asked a great question recently, and I wanted to give it a proper answer.
The short version is: I think a lot of people are still confused about what “AI fluency” actually means. It is not just using ChatGPT once in a while. It is not just vibe coding. It is not just knowing a few prompts.
To me, the real questions are:
What is basic AI fluency?
What is it not?
What practical AI skills should every professional start developing?
How do you check your current AI readiness?
How should you answer AI-related hiring or performance questions?
How do you identify your next practical step?
Let’s break it down.
Basic AI Fluency
My take is that basic AI fluency is primarily about comfort.
When people first sit down in front of a blank prompt box, they often freeze up. They do not know what to ask. They do not know what the tool can do. They do not know how specific or vague to be. They do not yet have an intuition for the shape of the interaction.
A chatbot feels relatively natural because it is shaped like a conversation with another person. But even then, it takes time to understand what the system is capable of.
When I first started consulting, I had to teach people very basic things like:
Assume the AI already knows the domain you are talking about.
You do not have to explain every basic concept from scratch. You can treat it like a knowledgeable expert.
At the same time, you also have to remember that it is not a genuine expert. It can be wrong. It can hallucinate. It can sound confident while being mistaken. So there is a balance: treat it as capable, but verify its outputs.
And that fluency changes depending on the medium.
Prompting a chatbot is different from prompting an image generator. Prompting an image generator is different from prompting a music tool. Prompting video is different again.
Domain familiarity helps. For image prompting, it helps to know about shot composition, lighting, framing, and visual style. For music, it helps to know mood, structure, genre, instrumentation, and production language.
But here is the interesting thing: most generative tools are often better at understanding vibe and intention than overly technical stage direction.
For example:
“I want a song that feels epic and triumphant”
will often produce a better result than simply saying:
“Use French horns.”
That level of comfort — knowing how to communicate intention, knowing when to be technical, knowing when to be emotional or directional — is what I would consider real AI fluency.
What AI Fluency Is Not
AI fluency is not just vibe coding.
Honestly, if your AI use is only one thing, or if it is purely casual, I do not think that counts as AI fluency.
You need to challenge yourself.
If you are only using AI to do something you already knew how to do, then it is basically a bicycle. It helps you go faster, but it is not transforming what you are capable of.
For example, if you are already a software developer and you use AI to code a little faster, that is useful. But if that is the only thing you do with it, you are not really stretching yourself.
The real test is whether you are using AI to do net-new things.
Are you using it to learn new skills?
Are you using it to explore new mediums?
Are you using it to build things you could not have built before?
Are you using it to expand the edge of your competence?
If not, then in my book, you are not really AI literate yet.
The Five Practical AI Skills Every Professional Should Develop
From my own experience, and from watching how other people use these tools, I think the practical skill stack looks something like this.
1. Use AI to Save Time and Mental Energy
First and foremost, use it to save time and cognitive load.
I call this cognitive offloading.
If you are just having fun or playing around, that is fine. But that is not yet professional AI use.
Professional AI use means handing off work that consumes time, focus, and mental bandwidth.
For example, my wife will take Claude with her to the dog park and give it tasks while she is walking around or chatting with other dog owners. She will have it draft proposals, emails, website changes, or research notes.
She is basically giving a very capable assistant a queue of work.
That lets her rest her mind, keep moving, and do more work in parallel. That is the point.
AI should not merely entertain you. It should remove friction from your life.
