AI Slop Isn’t Ugly—It’s Useless

I want to talk about AI slop for a minute.

Not the kind where something looks sloppy because it was generated by AI. I’m talking about something worse — when companies promise AI and then completely overpromise and underdeliver.

Here’s what I mean.

I use an employee management system where everything lives — time cards, HR reports, attendance, all of it. When you log in, there’s a big, confident feature that says:

“I want…”

The idea is simple. Type in what you need, and the system — powered by their “AI” — delivers it instantly.

So I try it.

I type: “I want a printout of all my lead teachers and how many days they’ve missed.”

I hit enter.

Nothing.

Not even a bad answer. Just… nothing.

So I think, maybe I need to be more specific. I go over to Claude and ask it to write a better prompt based on the company’s system. I paste the improved prompt back in.

This time I get something — but it’s worse.

I’m redirected to an FAQ page and then pushed into the same clunky reporting system I was trying to avoid in the first place.

And that’s when it hit me: it would be faster to open Outlook, search an employee’s name, scroll through emails, and manually count absences than to use their “AI-powered” feature.

Let that sink in.

If your AI is slower than a manual workaround, it’s not just bad — it’s broken.

Now contrast that with a real experience.

A few days ago I was watching the NFL schedule release and got curious: do international games impact playoff success?

So I asked Gemini.

• What are the records of teams that played international games?

• Has an international team ever won the Super Bowl?

• What’s the playoff performance of those teams?

Instantly, I got a clear record (17–16), context, specific teams (Chiefs twice, Eagles once), and a direct answer to what I was actually wondering.

No extra clicks. No reports. No friction.

Just an answer.

That’s the difference.

Real AI reduces steps. AI slop adds them.

And here’s the uncomfortable truth: a lot of companies right now aren’t building AI — they’re performing it. They’re taking legacy systems that were never designed to think, layering a text box on top, and calling it innovation.

But users feel the difference immediately.

If your AI redirects instead of responds, requires more effort than before, or gives you pathways instead of answers — it’s not helping. It’s hiding.

Here’s the standard I think we should hold AI to:

1. It should eliminate clicks, not add them.

2. It should understand natural language without gymnastics.

3. It should return answers, not menus.

4. It should be faster than the workaround.

5. It should feel like progress, not a detour.

If it doesn’t meet that bar, it’s not cutting-edge.

It’s just slop with better branding.

We’re at a moment where AI can genuinely change how we work. But if companies keep overpromising and underdelivering, people won’t just ignore bad features — they’ll stop trusting the good ones.

And that’s the real cost of AI slop.

Where in your day are you being sold “AI” that actually makes your work harder — and what would real help look like instead?