Or at least, not yet.
On Monday, I found myself thinking about the different literacies I’ve lived through.
Computer literacy.
Digital literacy.
Media literacy.
And now AI literacy.
The more I thought about it, the more one question kept returning:
How do we actually learn a new literacy?
Because if history is any guide, the answer is rarely simple.
When computers first entered homes, schools, and workplaces, many people didn’t know where to begin. Some were excited. Others were intimidated. Classes appeared. Manuals were written. Friends helped friends. Children often ended up teaching their parents.
Slowly, what once felt specialized became ordinary.
The same thing happened with the internet.
At first, simply knowing how to search for information or send an email felt like a useful skill. Today those things are so common that we hardly think about them.
Then came media literacy.
The challenge was no longer finding information. It was evaluating it.
Who created this?
Can I trust it?
What might be missing?
Those questions became increasingly important as information became abundant and easy to share.
And now we find ourselves facing AI.
Once again, people are asking what skills matter.
Once again, schools are debating how to teach them.
Once again, workplaces are trying to figure out what is useful, what is risky, and what is changing.
The pattern feels familiar.
What feels different is the speed.
Computers evolved over years.
The internet evolved over years.
Social media evolved over years.
AI seems to evolve between one news cycle and the next.
That makes learning harder.
But I don’t think AI literacy is really about mastering tools.
The tools will change.
They always do.
I suspect AI literacy is closer to a mindset than a technical skill.
It’s learning when to trust and when to verify.
When to accept help and when to do the work yourself.
When to use AI as a shortcut and when to use it as a thinking partner.
It’s understanding that a convincing answer is not necessarily a correct answer.
It’s recognizing that convenience and understanding are not the same thing.
In some ways, AI literacy may be built on top of all the literacies that came before it.
Computer literacy taught us how to use the machine.
Digital literacy taught us how to navigate the environment.
Media literacy taught us how to evaluate information.
AI literacy may be teaching us how to stay mentally engaged while interacting with systems that can appear to think alongside us.
And perhaps that is why this transition feels so important.
The question isn’t whether AI will become part of everyday life.
It already is.
The question is how we learn to live with it without handing over the parts of ourselves that matter most: curiosity, judgment, understanding, and the willingness to think for ourselves.
History suggests we will eventually learn this new literacy.
The challenge is that we’re learning it while the lesson itself keeps changing.
Maybe the goal isn’t to achieve literacy once and for all.
Maybe literacy is something we keep practicing as technology changes around us.
If that’s true, then AI literacy isn’t a new challenge.
It’s simply the latest version of an old one.
