There are loads of ways we’re becoming more productive with AI. Everyone’s talking about them. What no one’s really talking about is how it slows us down.

These are some of the pitfalls I’ve found in my own work, and I think they’re worth thinking about, both for individuals and for teams. None of this is anti-AI. It’s just a set of observations from my own day-to-day that doesn’t get said out loud.

1. I built myself a micromanager

Small tasks I used to just do, I now run through AI and then sit there reviewing. Take an email. It used to take me five minutes to write and I’d click send. Now I draft it, ask AI for a pass, get notes, go back, get more notes, and we go back and forth until the draft is “ready.”

I’ve basically hired a micromanager who gives me feedback on every tiny action. Emails, copy, captions, posts, marketing. I’m no longer just doing the task. I’ve introduced a workflow of create, review, revise, re-review, revise, and just like having a manager who won’t let you send an email without their review and approval, every tiny action now takes five times as long.

When I don’t run that whole review loop and instead go straight in, I hit the opposite problem. I give it a quick prompt: “write me an email that says X and Y.” But it’s missing so much context that the output is generic, so........

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