AI isn’t making us less intelligent.
It’s making our imprecision impossible to hide.
We’ve spent years blaming technology for the erosion of attention… the collapse of nuance… the slow dissolving of actual critical thought.
But after a conversation on The BeanCast this week, I kept circling the same idea…
Maybe the issue isn’t AI at all.
Maybe the issue is that we’ve never really taught people how to think with a tool like this.
Most people prompt AI the same way they search the internet.
A vague phrase, a loose intuition and a hope that the machine will decode the intent behind the words.
But AI isn’t a mind reader.
It’s a mirror trained on the information it has ingested, tinted with perfect recall and a slight nuance in understanding your style (if you’ve bothered to train it a little).
It reflects the quality of the thinking it receives.
If your prompt is thin… the thinking is thin.
If it doesn’t know how you output content… the output is thin.
If your reasoning is muddy… the output is thin.
If your intent is undefined… the model will invent one for you.
And that’s the part that should unsettle us.
Not the model’s “intelligence”… but the way it reveals our own shortcuts.
We’ve built an entire culture on convenience.
Tap… scroll… search… skim… copy… paste.
We’ve celebrated speed over quality.
We’ve rewarded speed over structure.
We’ve normalized “good enough” over clarity in thought.
So when a tool arrives that multiplies your clarity, your structure, your ability to articulate what matters… it also multiplies your weaknesses in those areas.
This is why some people walk away from AI amazed… and others walk away disappointed.
I’ve been thinking that what’s most interesting about AI (to me) is the tension it exposes between what we meant, what we actually asked… and what we got back.
Prompting is not typing… prompting is reasoning.
It’s the ability to frame a problem.
To set constraints… to define stakes… to provide context.
To know what “good” looks like before you ask for it.
Most people have never been trained to do that.
Not in school… not at work… not in the ways we communicate with each other online.
Here’s the black belt stuff:
You can ask the technology to help you create better prompts.
This takes a lot more work and a serious understanding of how you think, what you need and the gaps that AI can fill in those spaces.
And that’s the leadership lesson hiding inside this whole AI moment.
We don’t need better outputs… we need better questions.
But that only comes from better intellectual posture.
Better internal clarity before external expression.
AI exposes whether we understand what we’re trying to accomplish… or whether we’re outsourcing the thinking entirely.
It reveals when we haven’t done the work.
It highlights when we’ve skipped steps.
It makes the invisible visible.
This isn’t a technology revolution.
It’s a cognitive one… a literacy one.
A moment where our relationship with knowledge shifts from extraction to articulation.
The people who thrive in this era won’t be the ones who get the fastest answers…
But the ones who cultivate the sharpest intent.
The clearest reasoning… the most precise framing.
And this has very little to do with the final prompt.
In a world where AI can generate infinite outputs.. the real leverage is learning how to think well enough to ask for the right one.
But there’s much more…
This, and other current marketing topics were discussed along with Joseph Jaffe and host Bob Knorpp on the very excellent BeanCast Podcast (which I’ve been fortunate to be a guest on in the past). I don’t know what it is about BeanCast, Bob Knorpp and the other panelists, but there is always “something in the air” when we record these conversations that brings out a lot of stimulating ideas and insights (and some friendly disagreements too!).
For about an hour, we discussed and debated the following topics:
- The Impact of Too Much AI Praise.
- China Regulates Influencer “Authority”.
- Meta Profiting on Scam Ads.
- Avoiding “We” in Apology Statements.
Here is: BeanCast #795 – Is AI “Licking” Us?
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