THE NOISE

The AI Tool That Writes Your LinkedIn Posts Also Writes Everyone Else's

2026-09-20

Write in your own voice is one of the most common pitches on the Radar page right now, and it's an appealing one, since nobody wants their content to read like an obvious AI draft. The trouble is structural: most of these tools are trained on the same corpus of what a high-performing LinkedIn post looks like, the hook line, the short paragraphs, the reflective question at the end.

That means instead of sounding like the specific person using it, the output tends to sound like the genre the tool learned from. Enough people using the same tool ends up producing a wave of posts that all share the same structural tics, which is a genuinely recognizable pattern once you start noticing it in your own feed, not proof of anything, but hard to unsee.

What actually makes writing sound like a specific person is the opposite of what these tools are built to produce: a real, dated detail from someone's actual experience, a name, a number, a specific moment that couldn't have come from anyone else. That's precisely the thing a generic drafting tool is least equipped to invent convincingly, because it has no access to it.

It's also exactly why anything published on this site gets a specific fact-check pass before it goes up, rather than being left as smooth, generic-sounding prose. The sentence that makes someone stop scrolling is usually the one detail only the actual writer could have supplied.

The practical use of these tools, then, is for structure, not voice. Let AI handle the shape of a post. The one true, specific detail that makes it sound like you and not like everyone else using the same tool should stay yours to write.