Skip to main content
Newsletter
ROAI — Return on Applied AI, Edition 07

Workslop.

There's a new word going around for something you've probably already felt.

Workslop.

It's what you get when someone runs a task through AI, doesn't really read it, and forwards you the result. It looks great. Clean formatting, confident tone, all the right words. But when you actually try to use it, there's nothing there. No real thinking. No decision. Just a polished shell that leaves you to do the actual work.

I've started noticing it everywhere. A report that says a lot and means nothing. A "strategy" that's five paragraphs of filler. An email that clearly nobody read before they hit send.

And it doesn't feel like cutting corners. It feels productive. You asked AI, you got something long and professional-looking, you sent it. Done. But you didn't move the work forward — you just moved it downstream, onto whoever opens it next.

A recent study found about 41% of workers got hit with this kind of AI busywork last month, and each piece took nearly two hours for someone else to untangle. Worse, it quietly wrecks trust. Send me workslop a couple of times and I stop believing your name on anything.

My recommendation is simple, even if it takes some discipline: You do the thinking, and let AI do the polishing. Never the other way around.

AI will happily generate impressive-looking nothing all day long, so the judgment has to be yours.

Before anything goes out under your name, read it back and ask one question: Does this actually say something, or does it just look like it does? If you can't point to the decision or the real insight in it, it isn't finished. Fix it, or don't send it.

And when workslop lands on your desk, call it out. Kindly, but call it out. The fastest way to get it out of your business is to quit accepting it.

Brian Holmes
Brian Holmes
CEO & Founder, AI Front Desk
Applied AI Series

Learn how to actually use AI in your business.

One session coming up — set up and run open source AI models live, start to finish.

For Everyone
Thursday, August 6 · 11:00 AM CT
Start using open source models
"Open source" AI models are free to download and run yourself. No monthly subscription, no company owning your data. Sounds technical. It isn't anymore — and in this Applied AI session we'll prove it live.

We'll take free, open source models from names like Google, Meta, and DeepSeek and set them up start to finish, on screen, so you can see exactly how it works. Then we'll show you when running your own model actually makes sense for a business your size, and when it doesn't.

You'll leave with the exact setup steps and the comparison checklist we used — so you can run the same test yourself and decide whether owning beats renting.
Reserve Your Seat
Stories Worth Sharing

Here are the best insights our team found from across the web this week.

There is more AI news than any operator has time for. So we read it so you do not have to.

Headline
"It's just his AI and my AI going back and forth"
Fortune reported on an employee who got a confusing message from her boss and suspected it was AI-written, so she fed it to her own AI to decode. The AI then offered to draft her reply. "I literally think his AI is talking to my AI." Skillsoft's Leena Rinne calls it "social offloading" — outsourcing the parts of work that need human judgment, empathy, or courage.

Our take: This is where workslop ends up. If a message can be written by nobody and read by nobody, it didn't need to exist. Before you hit send, ask whether there's a decision in it a machine couldn't have made.
Read: Social Offloading — Fortune
Guide
Workslop is a management problem, not a people problem
The same Stanford/BetterUp researchers followed up in HBR. The biggest driver of workslop isn't lazy employees — it's leaders who mandate "use AI, produce more" without training or guidelines. Blanket AI mandates plus no norms equals a flood of polished nothing. The fix they recommend: model good use, set norms for when AI is appropriate, and reward outcomes instead of volume.

Our take: If you've told your team "we're an AI company now" and stopped there, you ordered the workslop. Write down the two or three tasks where AI is welcome, the ones where it isn't, and what "done" means. It fits on one page, and it will save your team hours of untangling.
Read: Why People Create Workslop — HBR
Try This
The AI tool that asks if you should log off
Anthropic shipped a feature called Reflect on July 9. It's a dashboard showing how you actually use Claude — what you delegate, what you keep, and how much time you spend — with quiet hours and take-a-break nudges built in. An AI company built a feature asking whether your AI time matches your goals.

Our take: Run it, then ask which of these tasks you're actually thinking through with AI — and which you're just laundering through it.
Read: Reflect with Claude — Anthropic
Cautionary
The CEO who threatened to fire the next slop-sender
A CEO told Inc. that he'd fire the next employee who sent him an unedited ChatGPT email. He was half joking. The frustration is real though, and some companies now ban AI in correspondence outright rather than deal with the flood.

Our take: Calling it out doesn't need to go this far. You don't need firings or bans — just a standard everyone knows. If you didn't read it, don't send it. Take the signal seriously though, because sending slop upward is quietly becoming a career risk.
Read: The Slop-Sender CEO — Inc.
Study
The study behind the word
The stat Brian cited up top comes from BetterUp Labs and Stanford's Social Media Lab. 41% of workers received workslop in the past month, each piece costs about two hours to untangle, and it adds up to roughly $186 per employee per month. The quieter cost: about a third of recipients say they're less likely to want to work with the sender again.

Our take: Workslop isn't a productivity problem, it's a reputation problem. The two hours gets absorbed. The trust doesn't come back.
Read: The Workslop Study — HBR
The AI Front Desk team

That's it for today. See you soon.

Brian, Murphy, John, Beth, and Jake — some of the humans behind AI Front Desk.

Not subscribed yet?

Get ROAI in your inbox every week.

Subscribe →
ROAI Newsletter · Practical AI, every week
Get practical AI tips that actually move the needle.
No spam. Unsubscribe anytime. Privacy Policy.