AI writing tells are showing up everywhere right now, and most people have no idea they’re reading one. A perfectly worded apology. A rejection that hits every note except a real one. A performance review that sounds like it was written about someone else’s team. If it feels a little too smooth, there’s usually a reason.
This week’s episode of the Magnetic Communication Podcast starts with a story: a genuinely good sales call, followed two hours later by a rejection email so polished it took a second read to notice nothing true was actually in it. Sandy Gerber breaks down exactly what tipped her off, and why catching it mattered more than the no itself.
From there, the episode walks through seven specific, learnable signs that separate AI-generated writing from something a real person sat down and wrote, the kind of signs anyone can start spotting immediately, in emails, in feedback, in the messages landing in their own inbox every day. It’s not a lecture on being anti-technology. Sandy uses AI herself. It’s a lesson in noticing the exact moment a tool starts doing a job it was never built to do, which is showing up for another human being.
The episode closes with a single, repeatable tool for making sure your own hard messages never read hollow, tied to the same EQ principles Sandy teaches inside her workshops on emotionally intelligent communication and AI change management.
This episode is for managers, leaders, and anyone leaning on AI in their day to day communication who wants their writing to still sound like them. Listen to the full episode of the Magnetic Communication Podcast to learn the seven AI writing tells and the one move that keeps your own messages human.
