Everyone’s an AI Expert Now (Except…They’re Not)

AI “experts” are everywhere right now, and if you’re wondering how all these people became qualified overnight… they didn’t. They’re operating on the classic online business model: know 10% more than the next person, and suddenly you’re an expert.

But with AI, the stakes are high, because this isn’t Instagram or Canva. It’s a tool that touches your data, your clients, your IP, and your entire business infrastructure.

And the people leading this charge? Most of them are barely three prompts ahead of you. In this episode, we’re breaking down what’s real, what’s hype, and how to tell who actually knows their shit.

The 10% Rule: Why Online Business Loves It (Even When It Shouldn’t)

The online business world runs on the 10% Rule: if someone knows just a little bit more than you, they think they can teach it.

You’ve seen this play out for YEARS as celebrity entrepreneurs have taught that you just need to be a couple of steps ahead:

“I took one copywriting course → now I’m a copy coach.”
“I launched once → now I teach launches.”
“I grew my TikTok to 600 followers → now I’m a TikTok strategist.”

It’s a culture where it’s about confidence, not competence, and it’s a big reason we have so many of the problems we’ve talked about here on Duped for the past four years.

Now, the same thing is happening with AI, and the stakes feel even higher than normal.

Because AI isn’t a cute little productivity tool. It poses significant legal, privacy, and creative risks. And when it’s used the wrong way, that doesn’t fall on the “expert”… It falls on you, the consumer.

Why “Three Prompts Ahead” Is a Red Flag, Not a Qualification

The truth about most AI experts out there right now: they’re early adopters, not experts.

Playing with AI for a couple of weeks or months doesn’t make you an AI strategist.

A true strategist would understand things like: error rates and hallucination patterns, privacy and data handling risks, prompt injection and abuse cases or anything of the sort.

Most people claiming to be “AI experts” currently lack that knowledge. They’ve got a head start, not actual expertise. And that introduces some very real risks.

Small gaps can have big consequences. This isn’t like posting a poorly designed Canva graphic; often, we’re talking about things that impact your business infrastructure.

So let’s name the risks clearly, because this is the part that’s missing from conversations amid the AI hype:

Legal Risks: When you use AI in your business, you’re taking on real legal risk—everything from copyright issues to contract breaches to confidently wrong outputs that can land you in a mess you didn’t ask for.
Privacy Risks: The minute you drop client info or internal docs into an AI tool, you’re making a privacy call—whether you meant to or not. A lot of these tools store prompts, reuse outputs, or train on your data, and let’s be honest: your clients didn’t consent to that, and most self-proclaimed AI experts have no clue where your data is actually going.
Creative Risks: Reliance on AI comes with real cognitive risks that impact your creativity, and depending on your jurisdiction, you may not even be able to claim copyright on your work.

This is where 10% expert becomes actively dangerous as they’re hyping up AI’s potential, but totally ignoring the very real risks.

The AI Hype Cycle is Real

Part of why this all feels so urgent is the current AI hype cycle.

We’re being told, constantly, that:

“If you’re not using AI, you’ll be left behind.”
“AI will replace you if you don’t learn to use it.”

Sound familiar? It’s the same rhetoric that sold us courses we didn’t need and tools we’ve never even opened. We think we need to AI everything and it’s an area where it’s a solution looking for a problem.

AI is just the latest and greatest to tell us that we’ll be left behind if we don’t buy this. Here’s the truth:

You do not need to use AI everywhere.
You do not need to move at the speed of hype.
You do not need to burn down working systems just to say you’re “AI-powered.”

What you need is to decide when and where AI actually makes sense for you.

How to Tell If Your “AI Expert” Is More Than 10% Ahead

If you want to know whether someone is an actual expert or just a fast learner riding the hype wave, ask them these questions:

Where does my data go when I use your workflow?
Does any part of this get used for model training?
How do you handle hallucinations and inaccuracy?
What tools does this workflow rely on under the hood?
What is your process for evaluating outputs for risk — legal, privacy, and creative?
What makes you qualified to advise on AI, and how did you develop that expertise?
Where should I not be using AI?

A true expert can delve into these questions and provide insightful answers. A 10% expert can’t get past question three.

Because the biggest danger right now is people pretending to understand AI and trying to take you along for the ride.

The stakes are too high for you to learn from a self-proclaimed expert who’s just a few steps ahead, as it’s the difference between protecting your business and accidentally setting it on fire.