Careful Confusing New With Useful: AI Has to Earn Its Internship

Aug 25

5 min read

There is something absolutely irresistible about shiny new technology. A new AI tool launches and suddenly LinkedIn is full of people announcing that it will change business forever.

Again...

Someone posts a video showing it completing four hours of work in 11 seconds. Your inbox fills with webinars promising you’ll be left hopelessly behind if you don’t master it by Thursday.

And immediately that little voice kicks in: Wait. Should I be using this?!

Maybe.

But before you pull out the company credit card and add subscription number 47, I have a better question: Is this thing actually useful?

Because one of the biggest lessons behind AI Didn’t Steal My Job… It Got an Internship is this: New and useful are not the same thing.

And shiny does not automatically mean strategic.

AI Is Still the Intern

I call AI an intern for a reason.

If I hired an intern at Cinis Marketing and they walked into the office Monday morning announcing that they were going to revolutionize the company, replace half our processes and increase productivity by 400% before lunch, I’d probably say:

“Fantastic. Let’s start with this spreadsheet.”

Because you don't hand someone the keys just because they gave a great interview.

You give them a task.
Then you see what happens.
Did they save us time?
Did they understand the assignment?
Was their work accurate?
Did they actually make something better?

Or did someone on my team spend 45 minutes fixing the thing that supposedly took AI 30 seconds to create? Because that last one isn't productivity. That's babysitting.

And AI should have to pass exactly the same test. The fact that AI can do something doesn't automatically mean it should be doing it.

Welcome to the Novelty Trap

We've all done it. You discover a new AI platform.

It can create presentations!
Generate videos!
Animate photos!
Summarize meetings!
Build websites!
Write emails! Make avatars!

It probably folds laundry if you upgrade to Pro. So you spend an hour playing with it. Then another hour figuring out all the things it could potentially do.

It feels productive because you're learning. But three weeks later... You haven't opened it since.

Welcome to the Novelty Trap. That doesn't necessarily mean the technology was bad. It might simply mean it solved a problem you didn't actually have. And businesses are becoming dangerously good at collecting solutions to problems they never had.

We don't need more technology for the sake of having technology.

We need technology that removes friction, improves quality, saves time, helps us make smarter decisions or allows our people to spend their time doing something more valuable.

The goal isn't to use more AI.
The goal is to do better work.

Huge difference.

Make AI Prove It

Before adding another AI tool to your business, make it earn its spot.

Does it ACTUALLY save time?

Not hypothetical internet-demo time. Your time.

If something normally takes me 20 minutes and AI generates it in five, but I spend another 25 minutes rewriting the robotic corporate soup it produced, we haven't saved 15 minutes.

We've lost 10. And possibly a small piece of my sanity.

Does it make the work better?

Fast is great.
Fast and terrible?
Less exciting.

If the result is generic, inaccurate, off-brand or sounds like every company on the internet suddenly hired the same copywriter, speed isn't much of a victory. Efficiency should never become an excuse for mediocrity.

Does it solve a recurring problem?

This is where AI gets interesting. Saving five minutes once? Cute. Saving five minutes on something your team does 100 times every month? Now you have my attention.

The best AI use cases aren't always the flashy ones. Sometimes they're painfully boring. And gloriously useful.

Does it make someone's job easier without making someone else's harder?

This one gets missed all the time... If your fancy new automation saves one employee 10 minutes but creates 20 minutes of cleanup for another employee, congratulations: You haven't automated anything. You've just moved the problem.

Would you miss it tomorrow?

This might be my favourite test.

If the tool disappeared tomorrow, would anyone care?
Would your workflow slow down?
Would your team immediately notice?
Would someone yell, “WAIT. Where did that thing go?!”
Those are the tools worth paying attention to.
They aren't shiny toys anymore.
They've become useful.
The intern might just be getting promoted.

Nobody Is Giving Out Trophies for Using the Most AI

There seems to be this strange pressure right now for businesses to prove they're using AI.

Okay... But why?

Nobody is standing at the finish line handing out trophies to the company with the most AI subscriptions. Your clients don't care that seven different AI platforms touched their project.

They care that the project was good.
They care that you understood them.
They care that you delivered what you promised.
They care that working with you was easy.

And, ideally, they'd still like to feel like they're doing business with actual humans.

AI should support those things. It shouldn't become those things.

Which is why one of the most important AI skills businesses can develop right now isn't prompt writing.

It isn't mastering every new platform.

It isn't knowing what launched yesterday.

It's knowing how to say: “That's cool…but do we actually need it?”

Let the Intern Earn the Promotion

AI is going to keep moving ridiculously fast.

There will always be another platform.
Another update.
Another feature.
Another headline screaming that EVERYTHING HAS CHANGED.

Some of it really will change how we work. Some of it will be gone before you remember your login password.

Our job isn't to chase all of it.
Our job is to experiment.
Evaluate.
Keep what works.
And happily delete what doesn't.
Give new technology a seat at the table.
Give it a project.
Test it.
Challenge it.
See what it can actually do.

But don't promote it just because it showed up wearing something shiny. AI didn't steal my job. It got an internship. And like any intern, if it wants to stick around, it needs to prove that it makes the work better.

Because new gets attention. Useful gets renewed.

And at Cinis Marketing, we're much more interested in what works than what's currently winning the internet's popularity contest.

Ashley Gould is the Founder of Cinis Marketing and author of AI Didn’t Steal My Job… It Got an Internship. At Cinis Marketing, we believe the smartest use of AI isn't replacing human expertise; it's giving smart humans better tools.

Marketing without strategy is noise.

And technology without purpose? That's just expensive clutter with a login.